BibSLEIGH — featur stem

Used together with:

base (452)
use (411)
select (330)
model (277)
recognit (234)

Stem featur$ (all stems)

2176 papers:

ECSA-2015-TahriDP #architecture #deployment #distributed #feature model #modelling #smarttech #using: Using Feature Models for Distributed Deployment in Extended Smart Home Architecture (AT, LD, JP), pp. 285–293.
QoSA-2015-DurisicST #architecture #identification #set #standard: Identifying Optimal Sets of Standardized Architectural Features: A Method and its Automotive Application (DD, MS, MT), pp. 103–112.
CASE-2015-LiYTC #architecture #fault: Extracting relevant features for diagnosing machine tool faults in cloud architecture (YYL, HCY, HT, FTC), pp. 1434–1439.
DAC-2015-JiangLZYW #effectiveness #feature model #image #performance: A 127 fps in full hd accelerator based on optimized AKAZE with efficiency and effectiveness for image feature extraction (GJ, LL, WZ, SY, SW), p. 6.
DAC-2015-JiangWS #clustering #power management #sorting: A low power unsupervised spike sorting accelerator insensitive to clustering initialization in sub-optimal feature space (ZJ, QW, MS), p. 6.
DAC-2015-KrishnaNRT #analysis #composition #modelling #product line: Compositional modeling and analysis of automotive feature product lines (SNK, GKN, SR, AT), p. 6.
DATE-2015-BarraganL #case study #feature model #using: Feature selection for alternate test using wrappers: application to an RF LNA case study (MJB, GL), pp. 1229–1232.
DATE-2015-CaoBFCCAO #feature model #validation: LVS check for photonic integrated circuits: curvilinear feature extraction and validation (RC, JB, JF, LC, JC, AA, IO), pp. 1253–1256.
DATE-2015-StoppeWD #automation #design #locality: Automated feature localization for dynamically generated SystemC designs (JS, RW, RD), pp. 277–280.
DRR-2015-MiouletBCPB #architecture #multi #network #recognition: Exploring multiple feature combination strategies with a recurrent neural network architecture for off-line handwriting recognition (LM, GB, CC, TP, SB).
HT-2015-PeraN #recommendation: Analyzing Book-Related Features to Recommend Books for Emergent Readers (MSP, YKN), pp. 221–230.
ICPC-2015-BeckDVWP #feature model #user interface: Rethinking user interfaces for feature location (FB, BD, JVM, DW, DP), pp. 151–162.
ICPC-2015-HillSP #evaluation #feature model: Exploring the use of concern element role information in feature location evaluation (EH, DCS, LLP), pp. 140–150.
ICPC-2015-JordanRHBB #feature model #industrial #source code: Manually locating features in industrial source code: the search actions of software nomads (HRJ, JR, SH, GB, JB), pp. 174–177.
ICPC-2015-MartinCAA #analysis #empirical #open source: Make it simple: an empirical analysis of GNU make feature use in open source projects (DHM, JRC, BA, GA), pp. 207–217.
ICSME-2015-CorleyDK #feature model #learning: Exploring the use of deep learning for feature location (CSC, KD, NAK), pp. 556–560.
ICSME-2015-CorleyKK #feature model #modelling #topic: Modeling changeset topics for feature location (CSC, KLK, NAK), pp. 71–80.
ICSME-2015-GaoH #architecture #named #web: ArchFLoc: Locating and explaining architectural features in running web applications (YG, DH), pp. 333–335.
ICSME-2015-LeLL #fault #feature model: Constrained feature selection for localizing faults (TDBL, DL, ML), pp. 501–505.
SANER-2015-LianZ #feature model #non-functional #product line #requirements #towards: Optimized feature selection towards functional and non-functional requirements in Software Product Lines (XL, LZ), pp. 191–200.
SCAM-2015-ChochlovEB #data flow #feature model #using: Using changeset descriptions as a data source to assist feature location (MC, ME, JB), pp. 51–60.
LATA-2015-Yoshinaka #boolean grammar #grammar inference #learning: Learning Conjunctive Grammars and Contextual Binary Feature Grammars (RY), pp. 623–635.
FM-2015-SafilianMD #feature model #formal method #modelling #semantics: The Semantics of Cardinality-Based Feature Models via Formal Languages (AS, TSEM, ZD), pp. 453–469.
SEFM-2015-BeekDGMP #constraints #variability: From Featured Transition Systems to Modal Transition Systems with Variability Constraints (MHtB, FD, SG, FM, LP), pp. 344–359.
ICFP-2015-ZilianiS #algorithm #coq #morphism #polymorphism #unification: A unification algorithm for Coq featuring universe polymorphism and overloading (BZ, MS), pp. 179–191.
ICGT-2015-BurUHV #pattern matching #search-based: Local Search-Based Pattern Matching Features in EMF-IncQuery (MB, ZU, ÁH, DV), pp. 275–282.
CHI-2015-ButlerASGP #analysis #automation #design #game studies: Automatic Game Progression Design through Analysis of Solution Features (EB, EA, AMS, SG, ZP), pp. 2407–2416.
CSCW-2015-DasKDH #security #social: The Role of Social Influence in Security Feature Adoption (SD, ADIK, LAD, JIH), pp. 1416–1426.
DUXU-IXD-2015-GomesFL: Antique School Furniture, New Technological Features Needs (AG, EF, LL), pp. 185–196.
DUXU-UI-2015-LinL15b #design: Affordances Feature on Package Design has Preference Effect on Content (JL, CHL), pp. 87–94.
HCI-IT-2015-MullerLBSKSW #bibliography #data-driven #network #predict #using: Using Neural Networks for Data-Driven Backchannel Prediction: A Survey on Input Features and Training Techniques (MM, DL, LB, MS, KK, SS, AW), pp. 329–340.
HCI-UC-2015-AlexandrisNC #evaluation #interactive: Interactive Evaluation of Pragmatic Features in Spoken Journalistic Texts (CA, MN, GC), pp. 259–268.
HIMI-IKC-2015-ZengCLSHC #framework #mobile #query: Scene Feature Recognition-Enabled Framework for Mobile Service Information Query System (YCZ, YHC, TYL, MJS, PYH, GLC), pp. 64–74.
HIMI-IKD-2015-ChangH15a #case study: A Study of the Feature of the Lovely Product Forms (WcC, CAH), pp. 571–581.
HIMI-IKD-2015-ProssHTH #concept #interactive #visualisation: A Concept for Visualizing Psychophysiological Data in Human Computer Interaction: The FeaturePlotter (FP, DH, HCT, HH), pp. 97–106.
ICEIS-v2-2015-TangL #framework #mining #product line #top-down: Top-down Feature Mining Framework for Software Product Line (YT, HL), pp. 71–81.
ECIR-2015-HuynhHR #analysis #learning #sentiment #strict: Learning Higher-Level Features with Convolutional Restricted Boltzmann Machines for Sentiment Analysis (TH, YH, SMR), pp. 447–452.
ECIR-2015-SchindlerR #approach #classification #music: An Audio-Visual Approach to Music Genre Classification through Affective Color Features (AS, AR), pp. 61–67.
ICML-2015-Hernandez-Lobato #feature model #multi #probability: A Probabilistic Model for Dirty Multi-task Feature Selection (DHL, JMHL, ZG), pp. 1073–1082.
ICML-2015-LongC0J #adaptation #learning #network: Learning Transferable Features with Deep Adaptation Networks (ML, YC, JW, MJ), pp. 97–105.
ICML-2015-NanWS #random: Feature-Budgeted Random Forest (FN, JW, VS), pp. 1983–1991.
ICML-2015-WangY #learning #matrix #multi: Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices (JW, JY), pp. 1747–1756.
ICML-2015-XiaoBBFER #feature model #question: Is Feature Selection Secure against Training Data Poisoning? (HX, BB, GB, GF, CE, FR), pp. 1689–1698.
KDD-2015-DuS #adaptation #feature model #learning: Unsupervised Feature Selection with Adaptive Structure Learning (LD, YDS), pp. 209–218.
KDD-2015-GaoYCH #integration #learning #multi #visual notation: Anatomical Annotations for Drosophila Gene Expression Patterns via Multi-Dimensional Visual Descriptors Integration: Multi-Dimensional Feature Learning (HG, LY, WC, HH), pp. 339–348.
KDD-2015-KotziasDFS #using: From Group to Individual Labels Using Deep Features (DK, MD, NdF, PS), pp. 597–606.
KDD-2015-XuSB #learning #predict: Longitudinal LASSO: Jointly Learning Features and Temporal Contingency for Outcome Prediction (TX, JS, JB), pp. 1345–1354.
MLDM-2015-PatchalaBG #email #using: Author Attribution of Email Messages Using Parse-Tree Features (JP, RB, SG), pp. 313–327.
MLDM-2015-Perner #automation #feature model #image #mining: Automatic Cell Tracking and Kinetic Feature Description of Cell Paths for Image Mining (PP), pp. 441–451.
RecSys-2015-MouliC #dependence #feedback #modelling: Making the Most of Preference Feedback by Modeling Feature Dependencies (SCM, SC), pp. 285–288.
RecSys-2015-SongCL #incremental #matrix #recommendation: Incremental Matrix Factorization via Feature Space Re-learning for Recommender System (QS, JC, HL), pp. 277–280.
SEKE-2015-GaoKN #set: Combining Feature Subset Selection and Data Sampling for Coping with Highly Imbalanced Software Data (KG, TMK, AN), pp. 439–444.
SEKE-2015-PereiraSA #interface #sql #standard: Endowing NoSQL DBMS with SQL Features Through Standard Call Level Interfaces (ÓMP, DS, RLA), pp. 201–207.
SEKE-2015-TaheriS #agile #classification #development: A Feature-Based Tool-Selection Classification for Agile Software Development (MT, SMS), pp. 700–704.
SEKE-2015-WangCMCX #empirical #python: An empirical study on the impact of Python dynamic features on change-proneness (BW, LC, WM, ZC, BX), pp. 134–139.
SEKE-2015-WangKN #feature model #re-engineering: Stability of Three Forms of Feature Selection Methods on Software Engineering Data (HW, TMK, AN), pp. 385–390.
SEKE-2015-ZouCH #impact analysis #mobile #topic #user interface: Topic Matching Based Change Impact Analysis from Feature on User Interface of Mobile Apps (QZ, XC, YH), pp. 477–482.
SIGIR-2015-CanutoGSRM #approach #classification #documentation #parallel #performance #scalability: An Efficient and Scalable MetaFeature-based Document Classification Approach based on Massively Parallel Computing (SDC, MAG, WS, TR, WM), pp. 333–342.
SIGIR-2015-GuoL #automation #generative #graph #music #recommendation: Automatic Feature Generation on Heterogeneous Graph for Music Recommendation (CG, XL), pp. 807–810.
SIGIR-2015-JonesTSS #effectiveness #metric #retrieval: Features of Disagreement Between Retrieval Effectiveness Measures (TJ, PT, FS, MS), pp. 847–850.
SIGIR-2015-LuccheseNOPT #documentation #ranking: Speeding up Document Ranking with Rank-based Features (CL, FMN, SO, RP, NT), pp. 895–898.
MoDELS-2015-LettnerEGP #case study #experience #feature model #industrial #lessons learnt #modelling #scalability: Feature modeling of two large-scale industrial software systems: Experiences and lessons learned (DL, KE, PG, HP), pp. 386–395.
REFSQ-2015-OliinykPSBS #case study #evaluation #feature model #industrial #metric #modelling: Metrics for the Evaluation of Feature Models in an Industrial Context: A Case Study at Opel (OO, KP, MS, MB, SS), pp. 33–48.
SAC-2015-BarbieriTPG #named #representation #video #visual notation: Shot-HR: a video shot representation method based on visual features (TTSB, THT, MPPJ, RG), pp. 1257–1262.
SAC-2015-BerardiEF015a #case study #design #industrial: Classifying websites by industry sector: a study in feature design (GB, AE, TF, FS), pp. 1053–1059.
SAC-2015-JavedSBJ #feature model #robust: OR-PCA with dynamic feature selection for robust background subtraction (SJ, AS, TB, SKJ), pp. 86–91.
SAC-2015-MeftehBB #approach #case study #diagrams #evaluation #feature model #implementation #modelling #uml: Implementation and evaluation of an approach for extracting feature models from documented UML use case diagrams (MM, NB, HBA), pp. 1602–1609.
SAC-2015-SeifertSG #personalisation #set #towards: Towards a feature-rich data set for personalized access to long-tail content (CS, JS, MG), pp. 1031–1038.
SLE-2015-OchoaRT #feature model #modelling #using: Using decision rules for solving conflicts in extended feature models (LO, OGR, TT), pp. 149–160.
SPLC-2015-BecanBGA #feature model #modelling #synthesis: Synthesis of attributed feature models from product descriptions (GB, RB, AG, MA), pp. 1–10.
SPLC-2015-BergerLRGS0CC #industrial #product line #what: What is a feature?: a qualitative study of features in industrial software product lines (TB, DL, JR, PG, AS, MB, MC, KC), pp. 16–25.
SPLC-2015-Beuche #feature model #modelling #variability: Managing variability with feature models (DB), p. 386.
SPLC-2015-ChavarriagaRNCJ #case study #configuration management #experience #feature model #modelling #multi #using: Using multiple feature models to specify configuration options for electrical transformers: an experience report (JC, CR, CN, RC, VJ), pp. 216–224.
SPLC-2015-DudderRH #composition #design #staged #type safety #using: Synthesizing type-safe compositions in feature oriented software designs using staged composition (BD, JR, GTH), pp. 398–401.
SPLC-2015-FerrariSGD #diagrams #documentation #feature model #natural language #tool support: CMT and FDE: tools to bridge the gap between natural language documents and feature diagrams (AF, GOS, SG, FD), pp. 402–410.
SPLC-2015-JiBAC #embedded #maintenance #traceability: Maintaining feature traceability with embedded annotations (WJ, TB, MA, KC), pp. 61–70.
SPLC-2015-LiangGCR #analysis #feature model #modelling #satisfiability #scalability: SAT-based analysis of large real-world feature models is easy (JH(L, VG, KC, VR), pp. 91–100.
SPLC-2015-ReulingBRLK #effectiveness #generative #product line #testing: Fault-based product-line testing: effective sample generation based on feature-diagram mutation (DR, JB, SR, ML, UK), pp. 131–140.
SPLC-2015-SoutoGdMKB #debugging #detection #feature model #modelling #performance #product line: Faster bug detection for software product lines with incomplete feature models (SS, DG, Md, DM, SK, DSB), pp. 151–160.
CC-2015-St-AmourAF #feature model #profiling: Feature-Specific Profiling (VSA, LA, MF), pp. 49–68.
ICST-2015-ArcainiGV #detection #fault #feature model #generative #modelling #testing: Generating Tests for Detecting Faults in Feature Models (PA, AG, PV), pp. 1–10.
ISSTA-2015-Hothersall-Thomas #automation #named #security #testing: BrowserAudit: automated testing of browser security features (CHT, SM, CN), pp. 37–47.
ISSTA-2015-TanXCSLD #algorithm #optimisation: Optimizing selection of competing features via feedback-directed evolutionary algorithms (THT, YX, MC, JS, YL, JSD), pp. 246–256.
QoSA-2014-EtxeberriaTCS #hardware #nondeterminism #parametricity: Performance-based selection of software and hardware features under parameter uncertainty (LE, CT, VC, GS), pp. 23–32.
ASE-2014-Burke #feature model: Utilizing feature location techniques for feature addition and feature enhancement (JTB), pp. 879–882.
ASE-2014-RahimiC #automation: Personas in the middle: automated support for creating personas as focal points in feature gathering forums (MR, JCH), pp. 479–484.
CASE-2014-LinWF #using: Grasping unknown objects using depth gradient feature with eye-in-hand RGB-D sensor (YCL, STW, LCF), pp. 1258–1263.
CASE-2014-TiengYHC #approach #multi #optimisation #process: A multi-objective optimization approach for selecting key features of machining processes (HT, HCY, MHH, FTC), pp. 899–904.
DAC-2014-TrimbergerM #security: FPGA Security: From Features to Capabilities to Trusted Systems (ST, JM), p. 4.
DATE-2014-AbeleinCEGRGRTUW #architecture #integration: Non-intrusive integration of advanced diagnosis features in automotive E/E-architectures (UA, AC, PE, MG, FR, LRG, TR, JT, DU, HJW), pp. 1–6.
DATE-2014-FerentD #comparison #mining #novel #synthesis #using: Novel circuit topology synthesis method using circuit feature mining and symbolic comparison (CF, AD), pp. 1–4.
DocEng-2014-MartinsP #documentation #multi #named #reuse: ActiveTimesheets: extending web-based multimedia documents with dynamic modification and reuse features (DSM, MdGCP), pp. 3–12.
DRR-2014-KleberDS #classification #retrieval #using #word: Form classification and retrieval using bag of words with shape features of line structures (FK, MD, RS), pp. 902107–9.
HT-2014-Santos-NetoPAR #data flow #on the #optimisation: On the choice of data sources to improve content discoverability via textual feature optimization (ESN, TP, JMA, MR), pp. 273–278.
SIGMOD-2014-ZhangKR #feature model #optimisation: Materialization optimizations for feature selection workloads (CZ, AK, CR), pp. 265–276.
VLDB-2014-AndersonCJWZ #development #ide #performance #re-engineering: An Integrated Development Environment for Faster Feature Engineering (MRA, MJC, YJ, GW, BZ), pp. 1657–1660.
CSMR-WCRE-2014-LammelLSV #comparison #implementation: Comparison of feature implementations across languages, technologies, and styles (RL, ML, TS, AV), pp. 333–337.
ICPC-2014-VasconcelosSW #feature model #visualisation: An information visualization feature model for supporting the selection of software visualizations (RV, MS, CW), pp. 122–125.
ICSME-2014-EderFHJ #question: Which Features Do My Users (Not) Use? (SE, HF, BH, MJ), pp. 446–450.
ICSME-2014-LinsbauerAGLPLE #variability: Recovering Feature-to-Code Mappings in Mixed-Variability Software Systems (LL, FA, PG, DL, HP, RELH, AE), pp. 426–430.
MSR-2014-AkerblomSTW #python #source code: Tracing dynamic features in python programs (BÅ, JS, MT, TW), pp. 292–295.
MSR-2014-KleinCK #debugging #detection: New features for duplicate bug detection (NK, CSC, NAK), pp. 324–327.
MSR-2014-KochharLL #classification #debugging #locality #question: It’s not a bug, it’s a feature: does misclassification affect bug localization? (PSK, TDBL, DL), pp. 296–299.
MSR-2014-PassosC #dataset #feature model #kernel #linux: A dataset of feature additions and feature removals from the Linux kernel (LTP, KC), pp. 376–379.
CHI-2014-HarpsteadMAM #design #education #game studies #using: Using extracted features to inform alignment-driven design ideas in an educational game (EH, CJM, VA, BAM), pp. 3329–3338.
CHI-2014-SchwarzXMHH #classification #probability #using: Probabilistic palm rejection using spatiotemporal touch features and iterative classification (JS, RX, JM, SEH, CH), pp. 2009–2012.
DHM-2014-TakaiYGWI #case study #comparative: Comparative Study on the Feature of Kitchen Knife Sharpening Skill between Expert and Non-Expert (YT, MY, AG, ZW, AI), pp. 292–300.
DUXU-DI-2014-HeZL #detection #fault #feature model #image #segmentation: Aluminum CT Image Defect Detection Based on Segmentation and Feature Extraction (NH, LZ, KL), pp. 446–454.
DUXU-DI-2014-ShafiqICRAAR #analysis #case study #learning #smarttech #usability #user satisfaction #what: To What Extent System Usability Effects User Satisfaction: A Case Study of Smart Phone Features Analysis for Learning of Novice (MS, MI, JGC, ZR, MA, WA, SR), pp. 346–357.
HCI-AIMT-2014-MohammedSS #predict: Gaze Location Prediction with Depth Features as Auxiliary Information (RAAM, LS, OGS), pp. 281–292.
HIMI-DE-2014-KhodaskarL #image #retrieval #semantics #using: Content Based Image Retrieval Using Quantitative Semantic Features (AK, SL), pp. 439–448.
SCSM-2014-AhangamaLKP #analysis #mobile #monitoring: Revolutionizing Mobile Healthcare Monitoring Technology: Analysis of Features through Task Model (SA, YSL, SYK, DCCP), pp. 298–305.
SCSM-2014-RoussakiKLJKRLA #pervasive #social #social media: Enhancing Social Media with Pervasive Features (IR, NK, NL, EJ, PK, MR, LL, MEA), pp. 265–276.
VISSOFT-2014-MartinezZMBKT #constraints #graph #paradigm #product line #visualisation: Feature Relations Graphs: A Visualisation Paradigm for Feature Constraints in Software Product Lines (JM, TZ, RM, TFB, JK, YLT), pp. 50–59.
EDOC-2014-WitternLBB #as a service #independence: Feature-Based Configuration of Vendor-Independent Deployments on IaaS (EW, AL, SB, TB), pp. 128–135.
CIKM-2014-CanutoSGRRGRM #classification #effectiveness #on the #performance: On Efficient Meta-Level Features for Effective Text Classification (SDC, TS, MAG, LCdR, GSR, LG, TCR, WSM), pp. 1709–1718.
CIKM-2014-DavletovAC #predict #using: High Impact Academic Paper Prediction Using Temporal and Topological Features (FD, ASA, AC), pp. 491–498.
CIKM-2014-DeveaudAMO #learning #on the #rank: On the Importance of Venue-Dependent Features for Learning to Rank Contextual Suggestions (RD, MDA, CM, IO), pp. 1827–1830.
CIKM-2014-KangLSSK #coordination #distributed #probability: Data/Feature Distributed Stochastic Coordinate Descent for Logistic Regression (DK, WL, KS, LS, UK), pp. 1269–1278.
CIKM-2014-QianZ #clustering #feature model #multi #web: Unsupervised Feature Selection for Multi-View Clustering on Text-Image Web News Data (MQ, CZ), pp. 1963–1966.
CIKM-2014-UysalBSS #approximate #database #distance #multi #performance #scalability #using: Efficient Filter Approximation Using the Earth Mover’s Distance in Very Large Multimedia Databases with Feature Signatures (MSU, CB, JS, TS), pp. 979–988.
CIKM-2014-WuHPZCZ #feature model #learning #multi: Exploring Features for Complicated Objects: Cross-View Feature Selection for Multi-Instance Learning (JW, ZH, SP, XZ, ZC, CZ), pp. 1699–1708.
ECIR-2014-NainiA #feature model #learning #rank: Exploiting Result Diversification Methods for Feature Selection in Learning to Rank (KDN, ISA), pp. 455–461.
ICML-c1-2014-DonahueJVHZTD #named #recognition #visual notation: DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition (JD, YJ, OV, JH, NZ, ET, TD), pp. 647–655.
ICML-c1-2014-KarampatziakisM: Discriminative Features via Generalized Eigenvectors (NK, PM), pp. 494–502.
ICML-c1-2014-YangSAM #invariant #kernel #monte carlo: Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels (JY, VS, HA, MWM), pp. 485–493.
ICML-c2-2014-HamidXGD #random: Compact Random Feature Maps (RH, YX, AG, DD), pp. 19–27.
ICML-c2-2014-JawanpuriaVN #feature model #kernel #learning #multi #on the: On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection (PJ, MV, JSN), pp. 118–126.
ICML-c2-2014-LinDH0 #classification #encoding #multi: Multi-label Classification via Feature-aware Implicit Label Space Encoding (ZL, GD, MH, JW), pp. 325–333.
ICPR-2014-AlvaroSB #network: Offline Features for Classifying Handwritten Math Symbols with Recurrent Neural Networks (FA, JAS, JMB), pp. 2944–2949.
ICPR-2014-BenliE #recognition: Extraction and Selection of Muscle Based Features for Facial Expression Recognition (KSB, MTE), pp. 1651–1656.
ICPR-2014-BertoliniOJS #identification: Assessing Textural Features for Writer Identification on Different Writing Styles and Forgeries (DB, LSO, EJRJ, RS), pp. 268–272.
ICPR-2014-BorgiLEA #named #performance #recognition: ShearFace: Efficient Extraction of Anisotropic Features for Face Recognition (MAB, DL, ME, CBA), pp. 1806–1811.
ICPR-2014-BuoncompagniFM #recognition #sketching: Shape Features for Candidate Photo Selection in Sketch Recognition (SB, AF, DM), pp. 1728–1733.
ICPR-2014-CetinaMB #case study #comparative #segmentation: A Comparative Study of Feature Descriptors for Mitochondria and Synapse Segmentation (KC, PMN, LB), pp. 3215–3220.
ICPR-2014-ChenK #gesture #recognition #using: Using Appearance-Based Hand Features for Dynamic RGB-D Gesture Recognition (XC, MK), pp. 411–416.
ICPR-2014-ChenYJ #analysis #feature model #linear #robust: An Improved Linear Discriminant Analysis with L1-Norm for Robust Feature Extraction (XC, JY, ZJ), pp. 1585–1590.
ICPR-2014-ChernousovaLTMW #parametricity #validation: Non-enumerative Cross Validation for the Determination of Structural Parameters in Feature-Selective SVMs (EC, PL, AT, VM, DW), pp. 3654–3659.
ICPR-2014-DavarzaniM #adaptation #image #robust: Robust Image Description with Weighted and Adaptive Local Binary Pattern Features (RD, SM), pp. 1097–1102.
ICPR-2014-DengZS #learning #recognition #speech: Linked Source and Target Domain Subspace Feature Transfer Learning — Exemplified by Speech Emotion Recognition (JD, ZZ, BWS), pp. 761–766.
ICPR-2014-DhamechaSSV #effectiveness #on the: On Effectiveness of Histogram of Oriented Gradient Features for Visible to Near Infrared Face Matching (TID, PS, RS, MV), pp. 1788–1793.
ICPR-2014-DiezVPRB #optimisation #recognition: Optimizing PLLR Features for Spoken Language Recognition (MD, AV, MP, LJRF, GB), pp. 779–784.
ICPR-2014-El-GaalyTE #classification: Spatial-Visual Label Propagation for Local Feature Classification (TEG, MT, AME), pp. 3422–3427.
ICPR-2014-FradiD #detection #recognition: Sparse Feature Tracking for Crowd Change Detection and Event Recognition (HF, JLD), pp. 4116–4121.
ICPR-2014-Garcia-OrdasAGG #invariant #named: aZIBO: A New Descriptor Based in Shape Moments and Rotational Invariant Features (MTGO, EA, VGC, DGO), pp. 2395–2400.
ICPR-2014-GarciaMFGM #identification: Person Orientation and Feature Distances Boost Re-identification (JG, NM, GLF, AG, CM), pp. 4618–4623.
ICPR-2014-Gonzalez-CastroDC #adaptation #classification #using: Pixel Classification Using General Adaptive Neighborhood-Based Features (VGC, JD, VC), pp. 3750–3755.
ICPR-2014-Hast #invariant #robust: Robust and Invariant Phase Based Local Feature Matching (AH), pp. 809–814.
ICPR-2014-HeDY0PJ #multi #random #using #visual notation: Visual Tracking Using Multi-stage Random Simple Features (YH, ZD, MY, LC, MP, YJ), pp. 4104–4109.
ICPR-2014-HeS #identification #invariant: Delta-n Hinge: Rotation-Invariant Features for Writer Identification (SH, LS), pp. 2023–2028.
ICPR-2014-HuangZLW #distance #feature model: A Method of Discriminative Information Preservation and In-Dimension Distance Minimization Method for Feature Selection (SH, JZ, XL, LW), pp. 1615–1620.
ICPR-2014-KacheleS #independence #recognition #set: Cascaded Fusion of Dynamic, Spatial, and Textural Feature Sets for Person-Independent Facial Emotion Recognition (MK, FS), pp. 4660–4665.
ICPR-2014-KacheleZMS #feature model #quality #recognition #using: Prosodic, Spectral and Voice Quality Feature Selection Using a Long-Term Stopping Criterion for Audio-Based Emotion Recognition (MK, DZ, SM, FS), pp. 803–808.
ICPR-2014-KhanMMT #image: Emergent Properties from Feature Co-occurrence in Image Collections (UMK, SM, BM, AT), pp. 2347–2352.
ICPR-2014-KrauseGDLF #fine-grained #learning #recognition: Learning Features and Parts for Fine-Grained Recognition (JK, TG, JD, LJL, FFL), pp. 26–33.
ICPR-2014-KrawczykWC #classification #clustering #fuzzy: Weighted One-Class Classifier Ensemble Based on Fuzzy Feature Space Partitioning (BK, MW, BC), pp. 2838–2843.
ICPR-2014-LaiSTH #3d #using: 3-D Gaze Tracking Using Pupil Contour Features (CCL, SWS, HRT, YPH), pp. 1162–1166.
ICPR-2014-LiewY #detection #feature model #novel #performance #robust: Generalized BRIEF: A Novel Fast Feature Extraction Method for Robust Hand Detection (CFL, TY), pp. 3014–3019.
ICPR-2014-LiuL0L #classification #image #learning: Regularized Hierarchical Feature Learning with Non-negative Sparsity and Selectivity for Image Classification (BL, JL, XB, HL), pp. 4293–4298.
ICPR-2014-LiuLS #documentation #image #novel: Novel Global and Local Features for Near-Duplicate Document Image Matching (LL, YL, CYS), pp. 4624–4629.
ICPR-2014-MatsukawaOS #identification: Person Re-identification via Discriminative Accumulation of Local Features (TM, TO, YS), pp. 3975–3980.
ICPR-2014-MatveevG #approximate #detection #segmentation: Iris Segmentation System Based on Approximate Feature Detection with Subsequent Refinements (IM, KG), pp. 1704–1709.
ICPR-2014-McCarthyCO #classification #image: The Contribution of Morphological Features in the Classification of Prostate Carcinoma in Digital Pathology Images (NM, PC, GO), pp. 3269–3273.
ICPR-2014-MehriMHGMM #benchmark #documentation #evaluation #metric #performance #set: Performance Evaluation and Benchmarking of Six Texture-Based Feature Sets for Segmenting Historical Documents (MM, MM, PH, PGK, MAM, RM), pp. 2885–2890.
ICPR-2014-MekonnenLHB #detection #optimisation #people: People Detection with Heterogeneous Features and Explicit Optimization on Computation Time (AAM, FL, AH, CB), pp. 4322–4327.
ICPR-2014-MoilanenZP #agile #analysis #difference #using: Spotting Rapid Facial Movements from Videos Using Appearance-Based Feature Difference Analysis (AM, GZ, MP), pp. 1722–1727.
ICPR-2014-NeumannHKKB #classification #image: Erosion Band Features for Cell Phone Image Based Plant Disease Classification (MN, LH, BK, KK, CB), pp. 3315–3320.
ICPR-2014-NieJ #learning #linear #using: Feature Learning Using Bayesian Linear Regression Model (SN, QJ), pp. 1502–1507.
ICPR-2014-NieKZ #learning #recognition #using: Periocular Recognition Using Unsupervised Convolutional RBM Feature Learning (LN, AK, SZ), pp. 399–404.
ICPR-2014-OhyamaYWK #recognition #using: Improving Accuracy of Printed Character Recognition Using Hexagonal Zoning of Directional Histogram Feature (WO, AY, TW, FK), pp. 2697–2702.
ICPR-2014-OuyangYLW #performance #robust: A FAST Extreme Illumination Robust Feature in Affine Space (PO, SY, LL, SW), pp. 2365–2370.
ICPR-2014-OuyedA #classification #kernel: Feature Relevance for Kernel Logistic Regression and Application to Action Classification (OO, MSA), pp. 1325–1329.
ICPR-2014-PedagadiOB #detection: Integral Line Scan Features for Pedestrian Detection (SP, JO, BAB), pp. 2383–2388.
ICPR-2014-PengWQP #encoding #evaluation #learning #recognition #taxonomy: A Joint Evaluation of Dictionary Learning and Feature Encoding for Action Recognition (XP, LW, YQ, QP), pp. 2607–2612.
ICPR-2014-QureshiHA #probability #using: A Probabilistic Model for the Optimal Configuration of Retinal Junctions Using Theoretically Proven Features (TAQ, AH, BAD), pp. 3304–3309.
ICPR-2014-RenL #gender #recognition #using: Gender Recognition Using Complexity-Aware Local Features (HR, ZNL), pp. 2389–2394.
ICPR-2014-RenYZH #classification #image #learning #nearest neighbour: Learning Convolutional Nonlinear Features for K Nearest Neighbor Image Classification (WR, YY, JZ, KH), pp. 4358–4363.
ICPR-2014-ReschLL #image: Local Image Feature Matching Improvements for Omnidirectional Camera Systems (BR, JL, HPAL), pp. 918–923.
ICPR-2014-RodriguesPPW #approach #feature model: A Binary Krill Herd Approach for Feature Selection (DR, LAMP, JPP, SATW), pp. 1407–1412.
ICPR-2014-SatoKSK #classification #learning #multi: Learning Multiple Complex Features Based on Classification Results (YS, KK, YS, MK), pp. 3369–3373.
ICPR-2014-ShivakumaraSPBT #identification #video: Gradient-Angular-Features for Word-wise Video Script Identification (PS, NS, UP, MB, CLT), pp. 3098–3103.
ICPR-2014-ShivramRG #case study #comparative #identification #modelling #online: Data Sufficiency for Online Writer Identification: A Comparative Study of Writer-Style Space vs. Feature Space Models (AS, CR, VG), pp. 3121–3125.
ICPR-2014-SicreJ #classification #image: Discovering and Aligning Discriminative Mid-level Features for Image Classification (RS, FJ), pp. 1975–1980.
ICPR-2014-SjolundJAKN #segmentation: Skull Segmentation in MRI by a Support Vector Machine Combining Local and Global Features (JS, AEJ, MTA, HK, HN), pp. 3274–3279.
ICPR-2014-SongLZC #adaptation #performance #using: Scale Adaptive Tracking Using Mean Shift and Efficient Feature Matching (YS, SL, JZ, HC), pp. 2233–2238.
ICPR-2014-SouzaSB #classification: Extracting Texture Features for Time Series Classification (VMAdS, DFS, GEAPAB), pp. 1425–1430.
ICPR-2014-SunZL #adaptation #detection: An Adaptive-Profile Active Shape Model for Facial-Feature Detection (KS, HZ, KML), pp. 2849–2854.
ICPR-2014-TerissiPG #classification #random #using: Lip Reading Using Wavelet-Based Features and Random Forests Classification (LDT, MP, JCG), pp. 791–796.
ICPR-2014-TouaziMB #feature model #game studies: Feature Selection Scheme Based on Zero-Sum Two-Player Game (AT, FM, DB), pp. 1342–1347.
ICPR-2014-TsukiokaK: Selection of Features in Accord with Population Drift (HT, MK), pp. 1591–1596.
ICPR-2014-UbukataSTMKMU #detection #image #performance #segmentation: Fast Human Detection Combining Range Image Segmentation and Local Feature Based Detection (TU, MS, KT, AM, TK, GM, KU), pp. 4281–4286.
ICPR-2014-WangGLYWY #analysis #canonical #correlation: Unsupervised Discriminant Canonical Correlation Analysis for Feature Fusion (SW, XG, JL, JYY, RW, JY), pp. 1550–1555.
ICPR-2014-WangLSSC #detection #evaluation: Evaluation of Feature Detectors and Descriptors for Motion Detection from Aerial Videos (CW, SL, YS, YS, HC), pp. 2596–2601.
ICPR-2014-WangSWB #consistency: Label Consistent Fisher Vectors for Supervised Feature Aggregation (QW, XS, MW, KLB), pp. 3588–3593.
ICPR-2014-WenLWCW #classification #feature model #robust: Optimal Feature Selection for Robust Classification via l2, 1-Norms Regularization (JW, ZL, WKW, JC, MW), pp. 517–521.
ICPR-2014-WenZLDC #3d #multi #retrieval #sketching: Sketch-Based 3D Model Retrieval via Multi-feature Fusion (YW, CZ, JL, SD, SC), pp. 4570–4575.
ICPR-2014-WuJ #detection #learning: Learning the Deep Features for Eye Detection in Uncontrolled Conditions (YW, QJ), pp. 455–459.
ICPR-2014-XiaoHL #3d #estimation #re-engineering: 3D Face Reconstruction via Feature Point Depth Estimation and Shape Deformation (QX, LH, PL), pp. 2257–2262.
ICPR-2014-YangD #identification #novel #using: Novel HHT-Based Features for Biometric Identification Using EEG Signals (SY, FD), pp. 1922–1927.
ICPR-2014-YanJY #feature model #representation: Sparse Representation Preserving for Unsupervised Feature Selection (HY, ZJ, JY), pp. 1574–1578.
ICPR-2014-ZambaniniKK #consistency #evaluation #geometry: Classifying Ancient Coins by Local Feature Matching and Pairwise Geometric Consistency Evaluation (SZ, AK, MK), pp. 3032–3037.
ICPR-2014-ZhangHLHZL #approach #feature model #hybrid: A Hybrid Feature Selection Approach by Correlation-Based Filters and SVM-RFE (JZ, XH, PPL, WH, YZ, HL), pp. 3684–3689.
ICPR-2014-ZhangHWZ #multi #parsing: Enhanced Human Parsing with Multiple Feature Fusion and Augmented Pose Model (ZZ, JH, YW, YZ), pp. 369–374.
ICPR-2014-ZhangKBC #detection: Center-Surround Contrast Features for Pedestrian Detection (SZ, DAK, CB, ABC), pp. 2293–2298.
ICPR-2014-ZhangLYQWTZ #detection #statistics: Sufficient Statistics Feature Mapping over Deep Boltzmann Machine for Detection (CZ, XL, JY, SQ, YW, CT, YZ), pp. 827–832.
ICPR-2014-Zhao: Euclidean Structure from Conic Feature Correspondences (ZZ), pp. 4010–4014.
ICPR-2014-ZhenS #evaluation #performance #recognition: A Performance Evaluation on Action Recognition with Local Features (XZ, LS), pp. 4495–4500.
ICPR-2014-ZhouIWBPKO #learning #performance: Transfer Learning of a Temporal Bone Performance Model via Anatomical Feature Registration (YZ, II, SNRW, JB, PP, GK, SO), pp. 1916–1921.
ICPR-2014-ZhouZYL #feature model #polynomial #recognition: Improving Handwritten Chinese Character Recognition with Discriminative Quadratic Feature Extraction (MKZ, XYZ, FY, CLL), pp. 244–249.
ICPR-2014-ZhuWYJ #learning #modelling #multi #recognition #semantics: Multiple-Facial Action Unit Recognition by Shared Feature Learning and Semantic Relation Modeling (YZ, SW, LY, QJ), pp. 1663–1668.
KDD-2014-GongZFY #learning #multi #performance: Efficient multi-task feature learning with calibration (PG, JZ, WF, JY), pp. 761–770.
KDD-2014-NguyenCRB #effectiveness #feature model: Effective global approaches for mutual information based feature selection (XVN, JC, SR, JB), pp. 512–521.
KDD-2014-PurushothamMKO #feature model #higher-order #interactive #learning #modelling: Factorized sparse learning models with interpretable high order feature interactions (SP, MRM, CCJK, RO), pp. 552–561.
KDD-2014-XiangYY: Simultaneous feature and feature group selection through hard thresholding (SX, TY, JY), pp. 532–541.
KDD-2014-XuHWZ #feature model: Gradient boosted feature selection (ZEX, GH, KQW, AXZ), pp. 522–531.
KDIR-2014-NagwanshiM #detection #semantics #sentiment #using: Sarcasm Detection using Sentiment and Semantic Features (PN, CEVM), pp. 418–424.
KMIS-2014-Schmitt #approach #generative #information management #novel: Proposing a Next Generation of Knowledge Management Systems for Creative Collaborations in Support of Individuals and Institutions — Featuring a Novel Approach for Meme-based Personal Knowledge Management (US), pp. 346–353.
SEKE-2014-Al-MsiedeenSHUV #implementation #object-oriented #source code: Documenting the Mined Feature Implementations from the Object-oriented Source Code of a Collection of Software Product Variants (RAM, AS, MH, CU, SV), pp. 138–143.
SEKE-2014-GaoKN #estimation #learning #quality #ranking: Comparing Two Approaches for Adding Feature Ranking to Sampled Ensemble Learning for Software Quality Estimation (KG, TMK, AN), pp. 280–285.
SEKE-2014-LianZ #feature model #product line: An Evolutionary Methodology for Optimized Feature Selection in Software Product Lines (XL, LZ), pp. 63–66.
SEKE-2014-MaazounBB #feature model: Feature model recovery from product variants based on a cloning technique (JM, NB, HBA), pp. 431–436.
SEKE-2014-SalmanSD #clustering #feature model #information retrieval: Feature Location in a Collection of Product Variants: Combining Information Retrieval and Hierarchical Clustering (HES, AS, CD), pp. 426–430.
SEKE-2014-SalmanSD14a #concept analysis #impact analysis #using: Feature-Level Change Impact Analysis Using Formal Concept Analysis (HES, AS, CD), pp. 447–452.
SIGIR-2014-DaltonDA #knowledge base #query #using: Entity query feature expansion using knowledge base links (JD, LD, JA), pp. 365–374.
SIGIR-2014-Sebastian #clustering #predict #semantics #using: Cluster links prediction for literature based discovery using latent structure and semantic features (YS), p. 1275.
MoDELS-2014-BergerNRACW #industrial #modelling #variability: Three Cases of Feature-Based Variability Modeling in Industry (TB, DN, RR, JMA, KC, AW), pp. 302–319.
MoDELS-2014-Reinhartz-BergerFH #feature model #modelling: Comprehending Feature Models Expressed in CVL (IRB, KF, ØH), pp. 501–517.
MoDELS-2014-BergerNRACW #industrial #modelling #variability: Three Cases of Feature-Based Variability Modeling in Industry (TB, DN, RR, JMA, KC, AW), pp. 302–319.
MoDELS-2014-Reinhartz-BergerFH #feature model #modelling: Comprehending Feature Models Expressed in CVL (IRB, KF, ØH), pp. 501–517.
PLATEAU-2014-RoulyOS #bibliography #ide #usability #visual notation: Usability and Suitability Survey of Features in Visual Ides for Non-Programmers (JMR, JDO, ES), pp. 31–42.
GPCE-2014-RuprechtHL #automation #feature model #product line #scalability: Automatic feature selection in large-scale system-software product lines (AR, BH, DL), pp. 39–48.
RE-2014-BruunHIJK #distributed #mobile #requirements: Handling design-level requirements across distributed teams: Developing a new feature for 12 Danish mobile banking apps (LB, MBH, JBI, JBJ, BK), pp. 335–343.
RE-2014-GuzmanM #analysis #fine-grained #how #sentiment: How Do Users Like This Feature? A Fine Grained Sentiment Analysis of App Reviews (EG, WM), pp. 153–162.
RE-2014-LiuSYM14a #feature model #reasoning #requirements: Combined goal and feature model reasoning with the User Requirements Notation and jUCMNav (YL, YS, XY, GM), pp. 321–322.
RE-2014-SlavinLNB #diagrams #feature model #requirements #security #using: Managing security requirements patterns using feature diagram hierarchies (RS, JML, JN, TDB), pp. 193–202.
RE-2014-TranM #approach #evolution #feature model #nondeterminism: An Approach for Decision Support on the Uncertainty in Feature Model Evolution (LMST, FM), pp. 93–102.
RE-2014-ZhouLLLKL #feature model #requirements #towards #validation: Towards feature-oriented requirements validation for automotive systems (JZ, YL, KL, HL, DK, BL), pp. 428–436.
SAC-2014-AmadiniGM #constraints #theorem proving: An enhanced features extractor for a portfolio of constraint solvers (RA, MG, JM), pp. 1357–1359.
SAC-2014-AminikhanghahiWSSJ #effectiveness #feature model #smarttech: Effective tumor feature extraction for smart phone based microwave tomography breast cancer screening (SA, WW, SYS, SHS, SIJ), pp. 674–679.
SAC-2014-BeoharM #consistency #testing: Input-output conformance testing based on featured transition systems (HB, MRM), pp. 1272–1278.
SAC-2014-BergamascoN #3d #approach #feature model #retrieval #using: A new local feature extraction approach for content-based 3D medical model retrieval using shape descriptor (LCCB, FLSN), pp. 902–907.
SAC-2014-FerrazPG #feature model #symmetry: Feature description based on center-symmetric local mapped patterns (CTF, OPJ, AG), pp. 39–44.
SAC-2014-JunAK #detection #using: DDoS attack detection by using packet sampling and flow features (JHJ, CWA, SHK), pp. 711–712.
SAC-2014-RolimBCCAPM #approach #multimodal #recommendation: A recommendation approach for digital TV systems based on multimodal features (RR, FB, AC, GC, HOdA, AP, AFM), pp. 289–291.
SAC-2014-SypeS #case study #online #requirements #social: Case study: legal requirements for the use of social login features for online reputation updates (YSVDS, JMS), pp. 1698–1705.
SAC-2014-YoonKHKRC #metric #reachability #similarity: Reachability vectors: features for link-based similarity measures (SHY, JSK, JH, SWK, MR, HJC), pp. 594–597.
SAC-2014-Zanchettin #recognition: Face recognition based on global and local features (CZ), pp. 55–57.
FSE-2014-Behringer #implementation: Integrating approaches for feature implementation (BB), pp. 775–778.
FSE-2014-BocovichA #feature model #interactive: Variable-specific resolutions for feature interactions (CB, JMA), pp. 553–563.
ICSE-2014-RibeiroBK #interface #maintenance: Feature maintenance with emergent interfaces (MR, PB, CK), pp. 989–1000.
SLE-2014-JaksicFCG #feature model #modelling #usability #visual notation: Evaluating the Usability of a Visual Feature Modeling Notation (AJ, RBF, PC, SG), pp. 122–140.
SPLC-2014-BeucheS #feature model #modelling #variability: Managing variability with feature models (DB, MS), p. 364.
SPLC-2014-MennickeLSW #automation #feature model #petri net #process #verification #workflow: Automated verification of feature model configuration processes based on workflow Petri nets (SM, ML, JS, TW), pp. 62–71.
SPLC-2014-MoensT #development #multitenancy: Feature-based application development and management of multi-tenant applications in clouds (HM, FDT), pp. 72–81.
SPLC-2014-QuintonPBDB #consistency #evolution #feature model #modelling: Consistency checking for the evolution of cardinality-based feature models (CQ, AP, DLB, LD, GB), pp. 122–131.
SPLC-2014-SchroterSTS #interface #product line #programming: Feature-context interfaces: tailored programming interfaces for software product lines (RS, NS, TT, GS), pp. 102–111.
SPLC-2014-ShakerA #behaviour #interactive #product line: Behaviour interactions among product-line features (PS, JMA), pp. 242–246.
SPLC-2014-SteinNC #feature model #multi: Preference-based feature model configuration with multiple stakeholders (JS, IN, EC), pp. 132–141.
SPLC-2014-YuZZJ #automation #case study #feature model #named: TDL: a transformation description language from feature model to use case for automated use case derivation (WY, WZ, HZ, ZJ), pp. 187–196.
ICST-2014-ZaeemPK #automation #generative #mobile #testing: Automated Generation of Oracles for Testing User-Interaction Features of Mobile Apps (RNZ, MRP, SK), pp. 183–192.
ISSTA-2014-ChoudharyPO #web: Cross-platform feature matching for web applications (SRC, MRP, AO), pp. 82–92.
ASE-2013-ChandramohanTBSP #approach #behaviour #bound #detection #modelling #scalability: A scalable approach for malware detection through bounded feature space behavior modeling (MC, HBKT, LCB, LKS, BMP), pp. 312–322.
ASE-2013-PohlSP #complexity #feature model #modelling: Measuring the structural complexity of feature models (RP, VS, KP), pp. 454–464.
ASE-2013-ThungWLL #api #automation #feature model #recommendation: Automatic recommendation of API methods from feature requests (FT, SW, DL, JLL), pp. 290–300.
CASE-2013-LuSXPO #automation #graph #multi #using: Automatic building exterior mapping using multilayer feature graphs (YL, DS, YX, AGAP, SO), pp. 162–167.
DAC-2013-YuLJC #classification #detection #feature model #using: Machine-learning-based hotspot detection using topological classification and critical feature extraction (YTY, GHL, IHRJ, CC), p. 6.
DocEng-2013-NourashrafeddinMA #clustering #documentation #interactive #using: Interactive text document clustering using feature labeling (SN, EEM, DVA), pp. 61–70.
DRR-2013-ShiXJX #integration: Character feature integration of Chinese calligraphy and font (CS, JX, WJ, CX).
ICDAR-2013-AhmedSLD #segmentation #using: A Generic Method for Stamp Segmentation Using Part-Based Features (SA, FS, ML, AD), pp. 708–712.
ICDAR-2013-AlaeiDG #detection #probability #representation #using: Logo Detection Using Painting Based Representation and Probability Features (AA, MD, NG), pp. 1235–1239.
ICDAR-2013-AlvaroSB #classification #hybrid #network #online: Classification of On-Line Mathematical Symbols with Hybrid Features and Recurrent Neural Networks (FA, JAS, JMB), pp. 1012–1016.
ICDAR-2013-AmaralFB #feature model #forensics #identification: Feature Selection for Forensic Handwriting Identification (AMMMA, COdAF, FB), pp. 922–926.
ICDAR-2013-BertrandGTFO #detection #documentation: A System Based on Intrinsic Features for Fraudulent Document Detection (RB, PGK, ORT, PF, JMO), pp. 106–110.
ICDAR-2013-BlucheNK #feature model #network #recognition #word: Feature Extraction with Convolutional Neural Networks for Handwritten Word Recognition (TB, HN, CK), pp. 285–289.
ICDAR-2013-ChengSAT #classification #data fusion #image #using #visual notation: Graphical Figure Classification Using Data Fusion for Integrating Text and Image Features (BC, RJS, SA, GRT), pp. 693–697.
ICDAR-2013-ChherawalaRC #automation #design #question #recognition: Feature Design for Offline Arabic Handwriting Recognition: Handcrafted vs Automated? (YC, PPR, MC), pp. 290–294.
ICDAR-2013-DanielsB #identification: Discriminating Features for Writer Identification (ZAD, HSB), pp. 1385–1389.
ICDAR-2013-GebhardtGSD #authentication #detection #documentation #using: Document Authentication Using Printing Technique Features and Unsupervised Anomaly Detection (JG, MG, FS, AD), pp. 479–483.
ICDAR-2013-HuC #classification #pseudo #using #verification: Offline Signature Verification Using Real Adaboost Classifier Combination of Pseudo-dynamic Features (JH, YC), pp. 1345–1349.
ICDAR-2013-HuZ #multi #using: Segmenting Handwritten Math Symbols Using AdaBoost and Multi-scale Shape Context Features (LH, RZ), pp. 1180–1184.
ICDAR-2013-NafchiMC #documentation #image: Application of Phase-Based Features and Denoising in Postprocessing and Binarization of Historical Document Images (HZN, RFM, MC), pp. 220–224.
ICDAR-2013-PhamDBR #consistency #geometry #locality #performance #robust: Robust Symbol Localization Based on Junction Features and Efficient Geometry Consistency Checking (TAP, MD, SB, JYR), pp. 1083–1087.
ICDAR-2013-RothackerRF #documentation #word: Bag-of-Features HMMs for Segmentation-Free Word Spotting in Handwritten Documents (LR, MR, GAF), pp. 1305–1309.
ICDAR-2013-SantoshWL #retrieval: Relation Bag-of-Features for Symbol Retrieval (KCS, LW, BL), pp. 768–772.
ICDAR-2013-Siriteerakul #classification: Mixed Thai-English Character Classification Based on Histogram of Oriented Gradient Feature (TS), pp. 847–851.
ICDAR-2013-SuDPL13a #independence #novel #recognition #set: A Novel Baseline-independent Feature Set for Arabic Handwriting Recognition (BS, XD, LP, CL), pp. 1250–1254.
ICDAR-2013-SunBOK #detection #using: Specific Comic Character Detection Using Local Feature Matching (WS, JCB, JMO, KK), pp. 275–279.
ICDAR-2013-SurintaSW #comparison: A Comparison of Feature and Pixel-Based Methods for Recognizing Handwritten Bangla Digits (OS, LS, MW), pp. 165–169.
ICDAR-2013-YiYT #case study #comparative #recognition: Feature Representations for Scene Text Character Recognition: A Comparative Study (CY, XY, YT), pp. 907–911.
ICDAR-2013-YuEC #classification #online: Mental Workload Classification via Online Writing Features (KY, JE, FC), pp. 1110–1114.
ICDAR-2013-ZhuZ #detection #image #recognition #using: Label Detection and Recognition for USPTO Images Using Convolutional K-Means Feature Quantization and Ada-Boost (SZ, RZ), pp. 633–637.
VLDB-2013-KondaKRS #data analysis #enterprise #feature model #using: Feature Selection in Enterprise Analytics: A Demonstration using an R-based Data Analytics System (PK, AK, CR, VS), pp. 1306–1309.
ITiCSE-2013-RodgerGML: Increasing the experimentation of theoretical computer science with new features in JFLAP (SHR, JG, IM, PL), p. 351.
FASE-2013-HaslingerLE #feature model #modelling #on the #set: On Extracting Feature Models from Sets of Valid Feature Combinations (ENH, RELH, AE), pp. 53–67.
CSMR-2013-KazatoHKOOMHS #feature model #identification #incremental #source code: Incremental Feature Location and Identification in Source Code (HK, SH, TK, TO, SO, SM, TH, MS), pp. 371–374.
CSMR-2013-NegaraTS #detection #web: Feature Detection in Ajax-Enabled Web Applications (NN, NT, ES), pp. 154–163.
ICPC-2013-BassettK #feature model #retrieval: Structural information based term weighting in text retrieval for feature location (BB, NAK), pp. 133–141.
ICPC-2013-KobayashiKYKM #architecture #visualisation: SArF map: Visualizing software architecture from feature and layer viewpoints (KK, MK, KY, KK, AM), pp. 43–52.
ICPC-2013-ZhangH #api #problem: Extracting problematic API features from forum discussions (YZ, DH), pp. 142–151.
ICSM-2013-AlhindawiDCM #feature model #source code: Improving Feature Location by Enhancing Source Code with Stereotypes (NA, ND, MLC, JIM), pp. 300–309.
ICSM-2013-HillBBDLO #feature model #question: Which Feature Location Technique is Better? (EH, AB, DB, BD, DL, RO), pp. 408–411.
ICSM-2013-NovaisNGM #comprehension #evolution: SourceMiner Evolution: A Tool for Supporting Feature Evolution Comprehension (RLN, CN, AG, MGM), pp. 508–511.
ICSM-2013-SemenenkoDS #image #machine learning #named #testing: Browserbite: Accurate Cross-Browser Testing via Machine Learning over Image Features (NS, MD, TS), pp. 528–531.
ICSM-2013-SiebraMSS #framework: The Adventure of Developing a Software Application on a Pre-release Platform: Features and Learned Lessons (CdS, AM, FQBdS, ALMS), pp. 556–559.
MSR-2013-IacobH #feature model #mobile #online: Retrieving and analyzing mobile apps feature requests from online reviews (CI, RH), pp. 41–44.
WCRE-2013-IshioHKO #automation #effectiveness #feature model #on the: On the effectiveness of accuracy of automated feature location technique (TI, SH, HK, TO), pp. 381–390.
DUXU-PMT-2013-Moallem #network: Location, Location, Location: About Home Networking Devices Location and Features (AM), pp. 107–114.
DUXU-WM-2013-Igler #approach #design #evaluation #mobile #prototype: Feature Evaluation for Mobile Applications: A Design Science Approach Based on Evolutionary Software Prototypes (BI), pp. 673–681.
HCI-III-2013-WangLLD #algorithm #performance #realtime #visual notation: A New Real-Time Visual SLAM Algorithm Based on the Improved FAST Features (LW, RL, CL, FD), pp. 206–215.
HCI-IMT-2013-AlexandrisM #human-computer #multi: Linguistic Processing of Implied Information and Connotative Features in Multilingual HCI Applications (CA, IM), pp. 13–22.
HCI-IMT-2013-ClamannMK #artificial reality #comparison #simulation #visual notation: Comparison of Enhanced Visual and Haptic Features in a Virtual Reality-Based Haptic Simulation (MPC, WM, DBK), pp. 551–560.
HCI-IMT-2013-SakairiTKG #editing #multi #using #visual notation: Multi-layer Control and Graphical Feature Editing Using Server-Side Rendering on Ajax-GIS (TS, TT, KK, YG), pp. 722–729.
HIMI-HSM-2013-HondaON #estimation: Estimation of the Facial Impression from Individual Facial Features for Constructing the Makeup Support System (AH, CO, KN), pp. 92–99.
ICEIS-v2-2013-VianaDPP #framework #named: F3 — From Features to Framework (MCV, RSD, RADP, AFdP), pp. 110–117.
CIKM-2013-AyadiTDJH #correlation #image #modelling #query #retrieval #using: Correlating medical-dependent query features with image retrieval models using association rules (HA, MT, MD, MBJ, JXH), pp. 299–308.
CIKM-2013-FangZ #feature model #learning #multi: Discriminative feature selection for multi-view cross-domain learning (ZF, Z(Z), pp. 1321–1330.
CIKM-2013-GuoZ #classification #comprehension #empirical #graph #perspective: Understanding the roles of sub-graph features for graph classification: an empirical study perspective (TG, XZ), pp. 817–822.
CIKM-2013-LiGLYS #framework #multimodal: A multimodal framework for unsupervised feature fusion (XL, JG, HL, LY, RKS), pp. 897–902.
CIKM-2013-QiuYJ #clustering #interactive #modelling: Modeling interaction features for debate side clustering (MQ, LY, JJ), pp. 873–878.
CIKM-2013-RothK #modelling #quality: Feature-based models for improving the quality of noisy training data for relation extraction (BR, DK), pp. 1181–1184.
CIKM-2013-TuLLHL #information retrieval #modelling #proximity #statistics: Exploiting proximity feature in statistical translation models for information retrieval (XT, JL, BL, TH, ML), pp. 1237–1240.
CIKM-2013-ZhouC #documentation: Entity-centric document filtering: boosting feature mapping through meta-features (MZ, KCCC), pp. 119–128.
ECIR-2013-JeongM #classification #dependence #recognition #using: Using WordNet Hypernyms and Dependency Features for Phrasal-Level Event Recognition and Type Classification (YJ, SHM), pp. 267–278.
ECIR-2013-OlteanuPLA #predict #web: Web Credibility: Features Exploration and Credibility Prediction (AO, SP, XL, KA), pp. 557–568.
ECIR-2013-ZhangZBC #categorisation #distance #encoding #visual notation: Encoding Local Binary Descriptors by Bag-of-Features with Hamming Distance for Visual Object Categorization (YZ, CZ, SB, LC), pp. 630–641.
ICML-c1-2013-0005LSL #feature model #learning #modelling #online: Online Feature Selection for Model-based Reinforcement Learning (TTN, ZL, TS, TYL), pp. 498–506.
ICML-c1-2013-GongGS #adaptation #invariant #learning: Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation (BG, KG, FS), pp. 222–230.
ICML-c1-2013-HeaukulaniG #modelling #network #probability #social: Dynamic Probabilistic Models for Latent Feature Propagation in Social Networks (CH, ZG), pp. 275–283.
ICML-c1-2013-KolarL #classification #feature model: Feature Selection in High-Dimensional Classification (MK, HL), pp. 329–337.
ICML-c1-2013-MaatenCTW #learning: Learning with Marginalized Corrupted Features (LvdM, MC, ST, KQW), pp. 410–418.
ICML-c1-2013-MuandetBS #invariant #representation: Domain Generalization via Invariant Feature Representation (KM, DB, BS), pp. 10–18.
ICML-c1-2013-XiangTY #feature model #optimisation #performance: Efficient Sparse Group Feature Selection via Nonconvex Optimization (SX, XT, JY), pp. 284–292.
ICML-c2-2013-Hui #modelling #visual notation: Direct Modeling of Complex Invariances for Visual Object Features (KYH), pp. 352–360.
ICML-c2-2013-SohnZLL #learning: Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines (KS, GZ, CL, HL), pp. 217–225.
ICML-c3-2013-AppelFDP: Quickly Boosting Decision Trees — Pruning Underachieving Features Early (RA, TJF, PD, PP), pp. 594–602.
ICML-c3-2013-JiaVD #on the: On Compact Codes for Spatially Pooled Features (YJ, OV, TD), pp. 549–557.
ICML-c3-2013-MemisevicE #invariant #learning #problem: Learning invariant features by harnessing the aperture problem (RM, GE), pp. 100–108.
ICML-c3-2013-SabatoK #multi: Feature Multi-Selection among Subjective Features (SS, AK), pp. 810–818.
ICML-c3-2013-WangNH13a #clustering #learning #multi: Multi-View Clustering and Feature Learning via Structured Sparsity (HW, FN, HH), pp. 352–360.
KDD-2013-PhamP #kernel #performance #polynomial #scalability: Fast and scalable polynomial kernels via explicit feature maps (NP, RP), pp. 239–247.
KDD-2013-SunBK #identification #optimisation #polynomial: Quadratic optimization to identify highly heritable quantitative traits from complex phenotypic features (JS, JB, HRK), pp. 811–819.
KDD-2013-WangS #classification #multi #relational #social #using: Multi-label relational neighbor classification using social context features (XW, GS), pp. 464–472.
KDD-2013-ZhangWF #recommendation: Combining latent factor model with location features for event-based group recommendation (WZ, JW, WF), pp. 910–918.
KDD-2013-ZhouLSYWY #identification #named: FeaFiner: biomarker identification from medical data through feature generalization and selection (JZ, ZL, JS, LY, FW, JY), pp. 1034–1042.
KDIR-KMIS-2013-CheetiSC #adaptation #approach #classification #naive bayes #sentiment #syntax #using: Cross-domain Sentiment Classification using an Adapted Naïve Bayes Approach and Features Derived from Syntax Trees (SC, AS, DC), pp. 169–176.
KDIR-KMIS-2013-CherichiF #microblog: Relevant Information Discovery in Microblogs — Combining Post’s Features and Author’s Features to Improve Search Results (SC, RF), pp. 128–135.
KDIR-KMIS-2013-GirdauskieneS #what: Assessing Environmental Dimensions for Creativity and Knowledge Creation — What Features of Task, Group and Time do make an Impact on Creativity and Knowledge Creation in a Creative Organization (LG, AS), pp. 532–538.
KDIR-KMIS-2013-MelnichenkoB #automation #image #low level #random: Automatic Image Annotation with Low-level Features and Conditional Random Fields (AM, AB), pp. 197–201.
KDIR-KMIS-2013-WaadBL #algorithm #feature model #rank #search-based: Feature Selection by Rank Aggregation and Genetic Algorithms (BW, ABB, ML), pp. 74–81.
MLDM-2013-MaziluCGRHT #detection #learning #predict: Feature Learning for Detection and Prediction of Freezing of Gait in Parkinson’s Disease (SM, AC, EG, DR, JMH, GT), pp. 144–158.
MLDM-2013-MinhAN #algorithm #feature model: DCA Based Algorithms for Feature Selection in Semi-supervised Support Vector Machines (LHM, LTHA, MCN), pp. 528–542.
MLDM-2013-StambaughYB #feature model: Analytic Feature Selection for Support Vector Machines (CS, HY, FB), pp. 219–233.
MLDM-2013-VavreckaL #classification #feature model: EEG Feature Selection Based on Time Series Classification (MV, LL), pp. 520–527.
RecSys-2013-AharonABLABLRS #named #online #persistent #recommendation #set: OFF-set: one-pass factorization of feature sets for online recommendation in persistent cold start settings (MA, NA, EB, RL, RA, TB, LL, RR, OS), pp. 375–378.
RecSys-2013-KoenigsteinP #embedded #feature model #matrix #recommendation: Xbox movies recommendations: variational bayes matrix factorization with embedded feature selection (NK, UP), pp. 129–136.
RecSys-2013-RonenKZN #collaboration #recommendation: Selecting content-based features for collaborative filtering recommenders (RR, NK, EZ, NN), pp. 407–410.
RecSys-2013-TiroshiBKCK #network #predict #social: Cross social networks interests predictions based ongraph features (AT, SB, MAK, TC, TK), pp. 319–322.
SEKE-2013-Al-MsiedeenSHUVS #concept analysis #mining #object-oriented #semantics #source code #using: Mining Features from the Object-Oriented Source Code of a Collection of Software Variants Using Formal Concept Analysis and Latent Semantic Indexing (RAM, ADS, MH, CU, SV, HES), pp. 244–249.
SEKE-2013-FerreiraVQ #approach #product line #testing: A Mutation Approach to Feature Testing of Software Product Lines (JMF, SRV, MAQ), pp. 232–237.
SEKE-2013-LosadaJ #documentation #identification #semantics: Processing rhetorical, morphosyntactic, and semantic features from corporate technical documents for identifying organizational domain knowledge (S) (BML, CMZJ), pp. 268–272.
SEKE-2013-PossompesDHT #feature model #generative #modelling: Model-Driven Generation of Context-Specific Feature Models (TP, CD, MH, CT), pp. 250–255.
SEKE-2013-RajasekharanMN #crowdsourcing #effectiveness #online: Effective Crowdsourcing for Software Feature Ideation in Online Co-Creation Forums (KR, APM, SKN), pp. 119–124.
SEKE-2013-WangKWN #case study #feature model #first-order #metric #statistics: A Study on First Order Statistics-Based Feature Selection Techniques on Software Metric Data (HW, TMK, RW, AN), pp. 467–472.
SEKE-2013-YuWYLY #evaluation #named #repository: HESA: The Construction and Evaluation of Hierarchical Software Feature Repository (YY, HW, GY, XL, CY), pp. 624–631.
SIGIR-2013-ChandarWC #documentation #predict: Document features predicting assessor disagreement (PC, WW, BC), pp. 745–748.
SIGIR-2013-MoshfeghiJ #behaviour #effectiveness #feedback #using: An effective implicit relevance feedback technique using affective, physiological and behavioural features (YM, JMJ), pp. 133–142.
MoDELS-2013-SemerathHV #constraints #domain-specific language #graph #query #validation: Validation of Derived Features and Well-Formedness Constraints in DSLs — By Mapping Graph Queries to an SMT-Solver (OS, ÁH, DV), pp. 538–554.
MoDELS-2013-WangGAL #automation #case study #feature model #industrial #testing #using: Automated Test Case Selection Using Feature Model: An Industrial Case Study (SW, AG, SA, ML), pp. 237–253.
MoDELS-2013-SemerathHV #constraints #domain-specific language #graph #query #validation: Validation of Derived Features and Well-Formedness Constraints in DSLs — By Mapping Graph Queries to an SMT-Solver (OS, ÁH, DV), pp. 538–554.
MoDELS-2013-WangGAL #automation #case study #feature model #industrial #testing #using: Automated Test Case Selection Using Feature Model: An Industrial Case Study (SW, AG, SA, ML), pp. 237–253.
ECOOP-2013-OliveiraSLC #algebra #feature model #programming: Feature-Oriented Programming with Object Algebras (BCdSO, TvdS, AL, WRC), pp. 27–51.
GPCE-2013-KolesnikovRHA #comparison #type checking: A comparison of product-based, feature-based, and family-based type checking (SSK, AvR, CH, SA), pp. 115–124.
RE-2013-DietrichA #interface #requirements: A mode-based pattern for feature requirements, and a generic feature interface (DD, JMA), pp. 82–91.
RE-2013-VogelsanagF #challenge #dependence #empirical #requirements #why: Why feature dependencies challenge the requirements engineering of automotive systems: An empirical study (AV, SF), pp. 267–272.
SAC-PL-J-2011-AcherCLF13 #domain-specific language #feature model #modelling #named #scalability: FAMILIAR: A domain-specific language for large scale management of feature models (MA, PC, PL, RBF), pp. 657–681.
SAC-2013-AraujoGMSAB #approach #composition #feature model #modelling: Advanced modularity for building SPL feature models: a model-driven approach (JA, MG, AMDM, IS, VA, ELAB), pp. 1246–1253.
SAC-2013-BarreirosM #constraints #feature model #modelling: Configuration support for feature models with soft constraints (JB, AMDM), pp. 1307–1308.
SAC-2013-CavalinKMO #framework #multi #recognition: A multiple feature vector framework for forest species recognition (PRC, MNK, JM, LESdO), pp. 16–20.
SAC-2013-DamakPBC #effectiveness #microblog #state of the art: Effectiveness of state-of-the-art features for microblog search (FD, KPS, MB, GC), pp. 914–919.
SAC-2013-HayashiIN #recommendation #visual notation: A visual analytics tool for system logs adopting variable recommendation and feature-based filtering (AH, TI, SN), pp. 996–998.
SAC-2013-HerzogKHFK #automation #identification #web: Feature-based object identification for web automation (CH, IK, WH, RRF, BKS), pp. 742–749.
SAC-2013-Jean-BaptisteMJA #adaptation #feature model #modelling #using: Modeling dynamic adaptations using augmented feature models (JBL, MTS, JMG, AB), pp. 1734–1741.
SAC-2013-Savoy #feature model: Feature selections for authorship attribution (JS), pp. 939–941.
ESEC-FSE-2013-DavrilDHACH #feature model #scalability: Feature model extraction from large collections of informal product descriptions (JMD, ED, NH, MA, JCH, PH), pp. 290–300.
ESEC-FSE-2013-LoharAZC #composition #data-driven: Improving trace accuracy through data-driven configuration and composition of tracing features (SL, SA, AZ, JCH), pp. 378–388.
ICSE-2013-CordySHL #model checking #multi #product line: Beyond boolean product-line model checking: dealing with feature attributes and multi-features (MC, PYS, PH, AL), pp. 472–481.
ICSE-2013-HenardPPKT #automation #feature model #modelling #testing #towards: Towards automated testing and fixing of re-engineered feature models (CH, MP, GP, JK, YLT), pp. 1245–1248.
ICSE-2013-HerzigJZ #classification #debugging #how #predict: It’s not a bug, it’s a feature: how misclassification impacts bug prediction (KH, SJ, AZ), pp. 392–401.
ICSE-2013-ScharfA #diagrams #editing #injection #sketching: Dynamic injection of sketching features into GEF based diagram editors (AS, TA), pp. 822–831.
ICSE-2013-WangPXZ #feature model #interactive #multi: Improving feature location practice with multi-faceted interactive exploration (JW, XP, ZX, WZ), pp. 762–771.
ICSE-2013-XingXJ #benchmark #feature model #kernel #metric #research #scalability: A large scale Linux-kernel based benchmark for feature location research (ZX, YX, SJ), pp. 1311–1314.
PLEASE-2013-HuangYKHU #analysis #domain-specific language #mining #repository #towards: Domain analysis for mining software repositories: Towards feature-based DSL construction (CH, KY, YK, KH, NU), pp. 41–44.
PLEASE-2013-PatelGS #feature model #interactive #testing #variability: Feature interaction testing of variability intensive systems (SP, PG, VS), pp. 53–56.
SPLC-2013-LinsbauerLE #traceability: Recovering traceability between features and code in product variants (LL, RELH, AE), pp. 131–140.
SPLC-2013-MuthigS #framework #product line: A framework for role-based feature management in software product line organizations (DM, JS), pp. 178–187.
SPLC-2013-Quinton0D #approach #constraints #feature model #modelling: Cardinality-based feature models with constraints: a pragmatic approach (CQ, DR, LD), pp. 162–166.
ISSTA-2013-HillsKV #empirical #perspective #php #static analysis: An empirical study of PHP feature usage: a static analysis perspective (MH, PK, JJV), pp. 325–335.
ISSTA-2013-Thum #contract #feature model #product line #verification: Product-line verification with feature-oriented contracts (TT), pp. 374–377.
RTA-2013-AvanziniM13a #complexity: Tyrolean Complexity Tool: Features and Usage (MA, GM), pp. 71–80.
ASE-2012-RubinC #difference #set #using: Locating distinguishing features using diff sets (JR, MC), pp. 242–245.
CASE-2012-Chang #detection #fault #feature model #process #using: Fault detection for plasma-enhanced chemical vapor deposition process using feature extraction (YJC), pp. 491–496.
CASE-2012-ParkM #behaviour #bound #clustering #hybrid #linear #performance #tool support: Performance bounds for hybrid flow lines: Fundamental behavior, practical features and application to linear cluster tools (KP, JRM), pp. 371–376.
CASE-2012-WeiM #design #framework #order #process #scheduling: Design of an order acceptance and scheduling module in a unified framework with product and process features (JW, YSM), pp. 968–973.
DAC-2012-MalburgFF #automation #design #hardware #locality #metric #using: Automated feature localization for hardware designs using coverage metrics (JM, AF, GF), pp. 941–946.
DocEng-2012-PenadesGC #documentation #feature model #modelling #workflow: Deriving document workflows from feature models (MdCP, AG, JHC), pp. 237–240.
DRR-2012-Obafemi-AjayiAX #classification #documentation: Ensemble methods with simple features for document zone classification (TOA, GA, BX).
VLDB-2012-CandanRSW #constraints #named #using: sDTW: Computing DTW Distances using Locally Relevant Constraints based on Salient Feature Alignments (KSC, RR, MLS, XW), pp. 1519–1530.
VLDB-2012-TauheedHSMA #named #query: SCOUT: Prefetching for Latent Feature Following Queries (FT, TH, FS, HM, AA), pp. 1531–1542.
FASE-2012-ThumSKAS #contract #design #feature model #programming: Applying Design by Contract to Feature-Oriented Programming (TT, IS, MK, SA, GS), pp. 255–269.
CSMR-2012-KazatoHOMHS #concept analysis #feature model #multi: Feature Location for Multi-Layer System Based on Formal Concept Analysis (HK, SH, SO, SM, TH, MS), pp. 429–434.
CSMR-2012-OlszakJ #composition #concept #how #legacy #question: Modularization of Legacy Features by Relocation and Reconceptualization: How Much is Enough? (AO, BNJ), pp. 171–180.
CSMR-2012-ZiadiFSZ #identification #source code: Feature Identification from the Source Code of Product Variants (TZ, LF, MAAdS, MZ), pp. 417–422.
ICPC-2012-DitMP #feature model: A TraceLab-based solution for creating, conducting, and sharing feature location experiments (BD, EM, DP), pp. 203–208.
ICPC-2012-KazatoHOMHS #feature model #towards: Toward structured location of features (HK, SH, SO, SM, TH, MS), pp. 255–256.
ICSM-2012-KobayashiKKYM #clustering #composition #dependence #using: Feature-gathering dependency-based software clustering using Dedication and Modularity (KK, MK, KK, KY, AM), pp. 462–471.
WCRE-2012-MisraAKST #clustering #semantics: Software Clustering: Unifying Syntactic and Semantic Features (JM, KMA, VSK, SS, GT), pp. 113–122.
WCRE-2012-XueXJ #feature model: Feature Location in a Collection of Product Variants (YX, ZX, SJ), pp. 145–154.
WCRE-2012-ZiftciK #data mining #feature model #mining #using: Feature Location Using Data Mining on Existing Test-Cases (CZ, IK), pp. 155–164.
SEFM-2012-ZhangKJ #composition #verification: Verification of Aspectual Composition in Feature-Modeling (QZ, RK, JJ), pp. 109–125.
CAiSE-2012-AcherHCQLM #difference #feature model: Feature Model Differences (MA, PH, PC, CQ, PL, PM), pp. 629–645.
CAiSE-2012-EnsanBG #feature model #generative #modelling #product line #search-based #testing: Evolutionary Search-Based Test Generation for Software Product Line Feature Models (FE, EB, DG), pp. 613–628.
CAiSE-2012-KaragiannisMM #approach #evaluation #heatmap #metamodelling: Compliance Evaluation Featuring Heat Maps (CE-HM): A Meta-Modeling-Based Approach (DK, CM, AM), pp. 414–428.
CAiSE-2012-SchalerLRS #database #information management #using: Building Information System Variants with Tailored Database Schemas Using Features (MS, TL, MR, GS), pp. 597–612.
ICEIS-v1-2012-LouatiBDS #behaviour #database #modelling #realtime: Modeling Structural, Temporal and Behavioral Features of a Real-Time Database (NL, RB, CD, BS), pp. 119–125.
CIKM-2012-AhmedADSA #behaviour #feature model #multi: Web-scale multi-task feature selection for behavioral targeting (AA, MA, AD, AJS, TA), pp. 1737–1741.
CIKM-2012-CamposBDC #feature model #identification: Time feature selection for identifying active household members (PGC, AB, FD, IC), pp. 2311–2314.
CIKM-2012-CandanRSW #named #scalability #set #visualisation: STFMap: query- and feature-driven visualization of large time series data sets (KSC, RR, MLS, XW), pp. 2743–2745.
CIKM-2012-ChenW #automation #classification #naive bayes: Automated feature weighting in naive bayes for high-dimensional data classification (LC, SW), pp. 1243–1252.
CIKM-2012-ComarLSNT #detection #kernel #linear: Weighted linear kernel with tree transformed features for malware detection (PMC, LL, SS, AN, PNT), pp. 2287–2290.
CIKM-2012-HaiCC #mining: One seed to find them all: mining opinion features via association (ZH, KC, GC), pp. 255–264.
CIKM-2012-MacdonaldSO #learning #on the #query #rank: On the usefulness of query features for learning to rank (CM, RLTS, IO), pp. 2559–2562.
CIKM-2012-QuanzH #generative #learning #multi #named: CoNet: feature generation for multi-view semi-supervised learning with partially observed views (BQ, JH), pp. 1273–1282.
CIKM-2012-VouzoukidouAC #query: Processing continuous text queries featuring non-homogeneous scoring functions (NV, BA, VC), pp. 1065–1074.
CIKM-2012-WangZLL #categorisation #feature model: Feature selection based on term frequency and T-test for text categorization (DW, HZ, RL, WL), pp. 1482–1486.
CIKM-2012-XiangFWHR #corpus #detection #scalability #topic #twitter: Detecting offensive tweets via topical feature discovery over a large scale twitter corpus (GX, BF, LW, JIH, CPR), pp. 1980–1984.
CIKM-2012-XuXLW #classification: Coarse-to-fine sentence-level emotion classification based on the intra-sentence features and sentential context (JX, RX, QL, XW), pp. 2455–2458.
CIKM-2012-YinPZH #multi #summary: Query-focused multi-document summarization based on query-sensitive feature space (WY, YP, FZ, LH), pp. 1652–1656.
CIKM-2012-ZhuYCQ #approach #classification #feature model #graph: Graph classification: a diversified discriminative feature selection approach (YZ, JXY, HC, LQ), pp. 205–214.
ICML-2012-DanylukA #feature model #probability: Feature Selection via Probabilistic Outputs (APD, NA), p. 127.
ICML-2012-DuanXT #adaptation #learning: Learning with Augmented Features for Heterogeneous Domain Adaptation (LD, DX, IWT), p. 89.
ICML-2012-FarabetCNL #learning #multi #parsing: Scene parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers (CF, CC, LN, YL), p. 241.
ICML-2012-GoodfellowCB #learning #scalability: Large-Scale Feature Learning With Spike-and-Slab Sparse Coding (IJG, ACC, YB), p. 180.
ICML-2012-JawanpuriaN #learning: A Convex Feature Learning Formulation for Latent Task Structure Discovery (PJ, JSN), p. 199.
ICML-2012-KoepkeB #performance #predict: Fast Prediction of New Feature Utility (HAK, MB), p. 130.
ICML-2012-LeRMDCCDN #learning #scalability #using: Building high-level features using large scale unsupervised learning (QVL, MR, RM, MD, GC, KC, JD, AYN), p. 69.
ICML-2012-Memisevic #learning #multi #on the: On multi-view feature learning (RM), p. 140.
ICML-2012-ZhaiTTO: Discovering Support and Affiliated Features from Very High Dimensions (YZ, MT, IWT, YSO), p. 226.
ICML-2012-Zhu #feature model #modelling #parametricity #predict: Max-Margin Nonparametric Latent Feature Models for Link Prediction (JZ), p. 154.
ICPR-2012-0007B #classification #feature model #image #kernel #multi: Multiple local kernel integrated feature selection for image classification (YS, BB), pp. 2230–2233.
ICPR-2012-AiDHC #analysis #component #feature model #independence #multi: Multiple feature selection and fusion based on generalized N-dimensional independent component analysis (DA, GD, XHH, YWC), pp. 971–974.
ICPR-2012-AtupelageNYAHS #multi: Multifractal feature descriptor for grading Hepatocellular carcinoma (CA, HN, MY, TA, AH, MS), pp. 129–132.
ICPR-2012-AyechZ #clustering #feature model #image #modelling #segmentation #statistics: Terahertz image segmentation based on K-harmonic-means clustering and statistical feature extraction modeling (MWA, DZ), pp. 222–225.
ICPR-2012-BaiZX #detection #linear #multi: Multi scale multi structuring element top-hat transform for linear feature detection (XB, FZ, BX), pp. 1920–1923.
ICPR-2012-BeinruckerDB #feature model: Early stopping for mutual information based feature selection (AB, UD, GB), pp. 975–978.
ICPR-2012-CataldoBFM #classification #image: Applying textural features to the classification of HEp-2 cell patterns in IIF images (SDC, AB, EF, EM), pp. 3349–3352.
ICPR-2012-ChangWCYH #assessment #image #quality: Sparse feature fidelity for image quality assessment (HwC, MhW, SqC, HY, ZjH), pp. 1619–1622.
ICPR-2012-ChengLWTCBWS #detection: Peripapillary atrophy detection by biologically inspired feature (JC, JL, DWKW, NMT, CYlC, MB, TYW, SMS), pp. 53–56.
ICPR-2012-ChenH0N #classification #documentation: Structured document classification by matching local salient features (SC, YH, JS, SN), pp. 653–656.
ICPR-2012-ChumM #estimation: Homography estimation from correspondences of local elliptical features (OC, JM), pp. 3236–3239.
ICPR-2012-CoustatyUO #image: Extraction of light and specific features for historical image indexing and matching (MC, SU, JMO), pp. 1326–1329.
ICPR-2012-DahmBCG #detection #morphism: Topological features and iterative node elimination for speeding up subgraph isomorphism detection (ND, HB, TC, YG), pp. 1164–1167.
ICPR-2012-FernandezT #documentation #segmentation #using: Document segmentation using Relative Location Features (FCF, ORT), pp. 1562–1565.
ICPR-2012-GhoshC #analysis #automation #classification: Feature analysis for automatic classification of HEp-2 florescence patterns : Computer-Aided Diagnosis of Auto-immune diseases (SG, VC), pp. 174–177.
ICPR-2012-GlazerLM #detection: Feature shift detection (AG, ML, SM), pp. 1383–1386.
ICPR-2012-GonfausGGRG #classification #geometry #using: Edge classification using photo-geometric features (JMG, TG, AG, FXR, JG), pp. 1497–1500.
ICPR-2012-GossowWB #invariant: Distinctive texture features from perspective-invariant keypoints (DG, DW, MB), pp. 2764–2767.
ICPR-2012-GutmannH #architecture #feature model #image #learning: Learning a selectivity-invariance-selectivity feature extraction architecture for images (MG, AH), pp. 918–921.
ICPR-2012-HesseGGE #multi #recognition #using: Multi-view facial expression recognition using local appearance features (NH, TG, HG, HKE), pp. 3533–3536.
ICPR-2012-HidoM #feature model #predict: Temporal feature selection for time-series prediction (SH, TM), pp. 3557–3560.
ICPR-2012-HouHZQ #named #paradigm #retrieval: Bag-of-feature-graphs: A new paradigm for non-rigid shape retrieval (TH, XH, MZ, HQ), pp. 1513–1516.
ICPR-2012-HuangLC #clustering #feature model #kernel #multi #self: Cluster-dependent feature selection by multiple kernel self-organizing map (KCH, YYL, JZC), pp. 589–592.
ICPR-2012-HuangLT #invariant #learning #recognition: Learning modality-invariant features for heterogeneous face recognition (LH, JL, YPT), pp. 1683–1686.
ICPR-2012-JensenED #classification #feature model: Classification of kinematic golf putt data with emphasis on feature selection (UJ, BE, FD), pp. 1735–1738.
ICPR-2012-JiangFZT #detection #random: Active Shape Model with random forest for facial features detection (WJ, YF, ZZ, YT), pp. 593–596.
ICPR-2012-JungN #modelling #refinement: Model-based feature refinement by ellipsoidal face tracking (SUJ, MSN), pp. 1209–1212.
ICPR-2012-KannalaR #image #named #statistics: BSIF: Binarized statistical image features (JK, ER), pp. 1363–1366.
ICPR-2012-KawaiMHIY #identification #using: Person re-identification using view-dependent score-level fusion of gait and color features (RK, YM, CH, HI, YY), pp. 2694–2697.
ICPR-2012-KemmlerD: Finding discriminative features for Raman spectroscopy (MK, JD), pp. 1823–1826.
ICPR-2012-KisilevFWTN #image: DFlow and DField: New features for capturing object and image relationships (PK, DF, EW, AT, YN), pp. 3590–3593.
ICPR-2012-KunchevaF #detection #feature model #multi #streaming: PCA feature extraction for change detection in multidimensional unlabelled streaming data (LIK, WJF), pp. 1140–1143.
ICPR-2012-LankinenKK #categorisation #comparison #detection #visual notation: A comparison of local feature detectors and descriptors for visual object categorization by intra-class repeatability and matching (JL, VK, JKK), pp. 780–783.
ICPR-2012-LeiLL #analysis #feature model #linear #performance #recognition: Efficient feature selection for linear discriminant analysis and its application to face recognition (ZL, SL, SZL), pp. 1136–1139.
ICPR-2012-LiangYCJ #evaluation #representation: Evaluation of local feature descriptors and their combination for pedestrian representation (JL, QY, JC, JJ), pp. 2496–2499.
ICPR-2012-LiSY #detection #invariant: A Fully Affine Invariant Feature detector (WL, ZS, JY), pp. 2768–2771.
ICPR-2012-LiuC #3d: 3D tracking of deformable surface by propagating feature correspondences (YL, YQC), pp. 2202–2205.
ICPR-2012-LiuKWJ #recognition: Action recognition with discriminative mid-level features (CL, YK, XW, YJ), pp. 3366–3369.
ICPR-2012-LiuSZ #feature model #graph: Sparsity Score: A new filter feature selection method based on graph (ML, DS, DZ), pp. 959–962.
ICPR-2012-LiuW12a #feature model #kernel: Unsupervised discriminative feature selection in a kernel space via L2, 1-norm minimization (YL, YW), pp. 1205–1208.
ICPR-2012-LiuXAR #geometry #recognition #using: Hand posture recognition using finger geometric feature (LL, JX, HA, XR), pp. 565–568.
ICPR-2012-LiVBB #clustering #learning #using: Feature learning using Generalized Extreme Value distribution based K-means clustering (ZL, OV, HB, RB), pp. 1538–1541.
ICPR-2012-LiXLL #independence #recognition: Combination of global and local baseline-independent features for offline Arabic handwriting recognition (NL, XX, WL, KML), pp. 713–716.
ICPR-2012-LiYLKZL #classification #multi #using: Multiclass boosting SVM using different texture features in HEp-2 cell staining pattern classification (KL, JY, ZL, XK, RZ, WL), pp. 170–173.
ICPR-2012-Lotte #classification: A new feature and associated optimal spatial filter for EEG signal classification: Waveform Length (FL), pp. 1302–1305.
ICPR-2012-MartelliCBTM #detection #paradigm #similarity: Joining feature-based and similarity-based pattern description paradigms for object detection (SM, MC, LB, DT, VM), pp. 2702–2705.
ICPR-2012-MiaoLZ #fault #feature model #predict: Cost-sensitive feature selection with application in software defect prediction (LM, ML, DZ), pp. 967–970.
ICPR-2012-MiksikM #detection #evaluation #performance: Evaluation of local detectors and descriptors for fast feature matching (OM, KM), pp. 2681–2684.
ICPR-2012-MoZW #classification #learning: Enhancing cross-view object classification by feature-based transfer learning (YM, ZZ, YW), pp. 2218–2221.
ICPR-2012-NayefAB #learning: Learning feature weights of symbols, with application to symbol spotting (NN, MZA, TMB), pp. 2371–2374.
ICPR-2012-NguyenFMO #image #performance #retrieval: Mapping high dimensional features onto Hilbert curve: Applying to fast image retrieval (GN, PF, RM, JMO), pp. 425–428.
ICPR-2012-NiigakiSM #detection #using: Circular object detection based on separability and uniformity of feature distributions using Bhattacharyya Coefficient (HN, JS, MM), pp. 2009–2012.
ICPR-2012-PanZXQ #2d #category theory #detection: Improved generic categorical object detection fusing depth cue with 2D appearance and shape features (HP, YZ, SX, KQ), pp. 1467–1470.
ICPR-2012-PinquierKLGMBGD #multi #process #recognition #smarttech: Strategies for multiple feature fusion with Hierarchical HMM: Application to activity recognition from wearable audiovisual sensors (JP, SK, LL, PG, RM, JBP, YG, JFD), pp. 3192–3195.
ICPR-2012-Schmidt-HackenbergYB #detection #image #visual notation: Visual cortex inspired features for object detection in X-ray images (LSH, MRY, TMB), pp. 2573–2576.
ICPR-2012-SlimaneZKAHI #recognition: New features for complex Arabic fonts in cascading recognition system (FS, OZ, SK, AMA, JH, RI), pp. 738–741.
ICPR-2012-TangHW #detection #multi #recognition: Hand-dorsa vein recognition based on multi-level keypoint detection and local feature matching (YT, DH, YW), pp. 2837–2840.
ICPR-2012-TanK #identification #image: Human identification from at-a-distance images by simultaneously exploiting iris and periocular features (CWT, AK), pp. 553–556.
ICPR-2012-TanLZ #dataset: The dataset system of Economic Dispute handwritten (DSEDH) based on stroke shape and structure features (JT, JHL, XXZ), pp. 661–664.
ICPR-2012-VieiraLSC #distance #invariant #matrix: Distance matrices as invariant features for classifying MoCap data (AWV, TL, WRS, MFMC), pp. 2934–2937.
ICPR-2012-WakayamaDDIMT #detection #estimation #performance #visual notation: Estimation of the human performance for pedestrian detectability based on visual search and motion features (MW, DD, KD, II, HM, YT), pp. 1940–1943.
ICPR-2012-WangAG #adaptation #feature model #graph #matrix: Adaptive graph regularized Nonnegative Matrix Factorization via feature selection (JW, IA, XG), pp. 963–966.
ICPR-2012-WangCCP #detection #realtime #using: Real-time smoke detection using texture and color features (YW, TWC, RC, NTP), pp. 1727–1730.
ICPR-2012-WangSCPZ #analysis #component #feature model #named: STPCA: Sparse tensor Principal Component Analysis for feature extraction (SW, MS, YHC, EPP, CZ), pp. 2278–2281.
ICPR-2012-WangSCSW #categorisation #representation: Object categorization via sparse representation of local features (JW, XS, RC, MFS, QW), pp. 3005–3008.
ICPR-2012-WangST #feature model #linear #programming #recognition #robust: Robust regularized feature selection for iris recognition via linear programming (LW, ZS, TT), pp. 3358–3361.
ICPR-2012-WongLTYCCBW #approach #automation #graph #locality: Automatic localization of the macula in a supervised graph-based approach with contextual superpixel features (DWKW, JL, NMT, FY, XC, CMGC, MB, TYW), pp. 2063–2066.
ICPR-2012-WuHWT #classification #encoding #image: Group encoding of local features in image classification (ZW, YH, LW, TT), pp. 1505–1508.
ICPR-2012-XuCYSIL #image: Feature-aligned 4D spatiotemporal image registration (HX, PC, WY, AS, SSI, XL), pp. 2639–2642.
ICPR-2012-YamasakiC #classification #recognition #refinement: Confidence-assisted classification result refinement for object recognition featuring TopN-Exemplar-SVM (TY, TC), pp. 1783–1786.
ICPR-2012-YamashitaTHNH #detection #representation: Sparse representation of audio features for sputum detection from lung sounds (TY, ST, KH, YN, SH), pp. 2005–2008.
ICPR-2012-YangLJ #2d #3d #estimation: Face pose estimation with combined 2D and 3D HOG features (JY, WL, YJ), pp. 2492–2495.
ICPR-2012-YeD #learning #predict: Learning features for predicting OCR accuracy (PY, DSD), pp. 3204–3207.
ICPR-2012-ZhangFD #algorithm #multi #recognition: A hierarchical algorithm with multi-feature fusion for facial expression recognition (ZZ, CF, XD), pp. 2363–2366.
ICPR-2012-ZhangFWZJ #image #scalability #using: Scalable image co-segmentation using color and covariance features (SZ, WF, LW, JZ, JJ), pp. 3708–3711.
ICPR-2012-ZhangH #feature model #recognition #using: Face recognition using semi-supervised spectral feature selection (ZZ, ERH), pp. 1294–1297.
ICPR-2012-ZhangH12a #feature model #recognition: Unsupervised spectral feature selection for face recognition (ZZ, ERH), pp. 1787–1790.
ICPR-2012-ZhangLGZ #classification #feature model: An improved EEMD model for feature extraction and classification of gunshot in public places (ZZ, WL, WG, JZ), pp. 1517–1520.
ICPR-2012-ZhangWBZCZ #detection #feature model: Object detection via foreground contour feature selection and part-based shape model (HZ, JW, XB, JZ, JC, HZ), pp. 2524–2527.
ICPR-2012-ZhangWN #detection #feature model #student: Bayesian feature selection and model detection for student’s t-mixture distributions (HZ, QMJW, TMN), pp. 1631–1634.
ICPR-2012-ZhaoXY #learning #network #speech: Unsupervised Tibetan speech features Learning based on Dynamic Bayesian Networks (YZ, XX, GY), pp. 2319–2322.
ICPR-2012-ZhouWXZM #learning #recognition: Learning weighted features for human action recognition (WZ, CW, BX, ZZ, LM), pp. 1160–1163.
KDD-2012-ChengZAMZZN #multi #predict: Multimedia features for click prediction of new ads in display advertising (HC, RvZ, JA, EM, RZ, YZ, VN), pp. 777–785.
KDD-2012-GongYZ #learning #multi #robust: Robust multi-task feature learning (PG, JY, CZ), pp. 895–903.
KDD-2012-TangL #feature model #social #social media: Unsupervised feature selection for linked social media data (JT, HL), pp. 904–912.
KDD-2012-WoznicaNK #feature model #mining #robust: Model mining for robust feature selection (AW, PN, AK), pp. 913–921.
KDD-2012-YangYLSWY #graph: Feature grouping and selection over an undirected graph (SY, LY, YCL, XS, PW, JY), pp. 922–930.
KDD-2012-YuDSW #feature model #mining #streaming: Mining emerging patterns by streaming feature selection (KY, WD, DAS, XW), pp. 60–68.
KDIR-2012-IkebeKT #learning #predict #smarttech #using: Friendship Prediction using Semi-supervised Learning of Latent Features in Smartphone Usage Data (YI, MK, HT), pp. 199–205.
KEOD-2012-MykowieckaM #clustering: Clustering of Medical Terms based on Morpho-syntactic Features (AM, MM), pp. 214–219.
MLDM-2012-StaroszczykOM #analysis #comparative #feature model #recognition: Comparative Analysis of Feature Selection Methods for Blood Cell Recognition in Leukemia (TS, SO, TM), pp. 467–481.
SEKE-2012-GaoKN #feature model #metric: Stability of Filter-Based Feature Selection Methods for Imbalanced Software Measurement Data (KG, TMK, AN), pp. 74–79.
SEKE-2012-ShenHTGZ #feature model #logic #modelling #verification: Feature modeling and Verification based on Description Logics (GS, ZH, CT, QG, WZ), pp. 422–425.
SIGIR-2012-FangHC #graph: Confidence-aware graph regularization with heterogeneous pairwise features (YF, BJPH, KCCC), pp. 951–960.
SIGIR-2012-HongLYZZ #automation #novel #what: What reviews are satisfactory: novel features for automatic helpfulness voting (YH, JL, JMY, QZ, GZ), pp. 495–504.
SIGIR-2012-LiebermanS #adaptation #streaming: Adaptive context features for toponym resolution in streaming news (MDL, HS), pp. 731–740.
SIGIR-2012-TanGS #exclamation #identification: $100, 000 prize jackpot. call now!: identifying the pertinent features of SMS spam (HT, NG, MS), pp. 1175–1176.
ECMFA-2012-RathHV #emf #query: Derived Features for EMF by Integrating Advanced Model Queries (IR, ÁH, DV), pp. 102–117.
MoDELS-2012-AranegaEM #feature model #model transformation #using: Using Feature Model to Build Model Transformation Chains (VA, AE, SM), pp. 562–578.
MoDELS-2012-SchroeterLW #feature model #modelling #multi: Multi-perspectives on Feature Models (JS, ML, TW), pp. 252–268.
MoDELS-2012-AranegaEM #feature model #model transformation #using: Using Feature Model to Build Model Transformation Chains (VA, AE, SM), pp. 562–578.
MoDELS-2012-SchroeterLW #feature model #modelling #multi: Multi-perspectives on Feature Models (JS, ML, TW), pp. 252–268.
TOOLS-EUROPE-2012-OlszakBJV #detection #quantifier: Detection of Seed Methods for Quantification of Feature Confinement (AO, EB, BNJ, JV), pp. 252–268.
GPCE-2012-RysselPK #feature model #modelling #reasoning: Reasoning of feature models from derived features (UR, JP, KK), pp. 21–30.
POPL-2012-Moore #proving #theorem proving: Meta-level features in an industrial-strength theorem prover (JSM), pp. 425–426.
RE-2012-AroraSR #feature model #interactive #nondeterminism: Resolving uncertainty in automotive feature interactions (SA, PS, SR), pp. 21–30.
RE-2012-LiZ0 #configuration management #feature model #modelling #named: MbFM: A matrix-based tool for modeling and configuring feature models (LL, HZ, WZ), pp. 325–326.
RE-2012-ShakerAW #feature model #modelling #requirements: A feature-oriented requirements modelling language (PS, JMA, SW), pp. 151–160.
RE-2012-Yi0ZJM #constraints #feature model #mining #modelling: Mining binary constraints in the construction of feature models (LY, WZ, HZ, ZJ, HM), pp. 141–150.
RE-2012-YiZ0J #collaboration #feature model #modelling #named: CoFM: An environment for collaborative feature modeling (LY, HZ, WZ, ZJ), pp. 317–318.
REFSQ-2012-FrickerS #case study #industrial #release planning: Release Planning with Feature Trees: Industrial Case (SF, SS), pp. 288–305.
SAC-2012-AvalhaisSRT #difference #image #retrieval #search-based: Image retrieval employing genetic dissimilarity weighting and feature space transformation functions (LPSA, SFdS, JFRJ, AJMT), pp. 1012–1017.
SAC-2012-CunhaSAP #summary #video: Rushes video summarization based on spatio-temporal features (TOC, FGHdS, AdAA, GLP), pp. 45–50.
SAC-2012-HuMB12a #clustering #documentation: Enhancing semi-supervised document clustering with feature supervision (YH, EEM, JB), pp. 929–936.
SAC-2012-NunesCM #learning #network #similarity #social: Resolving user identities over social networks through supervised learning and rich similarity features (AN, PC, BM), pp. 728–729.
ICSE-2012-NovaisNLCDGM #comprehension #evolution #industrial #interactive #on the #visualisation: On the proactive and interactive visualization for feature evolution comprehension: An industrial investigation (RLN, CN, CANL, EC, FD, AG, MGM), pp. 1044–1053.
ICSE-2012-OuelletMSG #feature model: Locating features in dynamically configured avionics software (MO, EM, NS, MG), pp. 1453–1454.
ICSE-2012-SiegmundKKABRS #automation #detection #performance #predict: Predicting performance via automated feature-interaction detection (NS, SSK, CK, SA, DSB, MR, GS), pp. 167–177.
PLEASE-2012-AcherMHCL #feature model #modelling #tool support: Languages and tools for managing feature models (MA, RM, PH, PC, PL), pp. 25–28.
PLEASE-2012-QuintonDHMC #feature model #modelling #using: Using feature modelling and automations to select among cloud solutions (CQ, LD, PH, SM, EC), pp. 17–20.
PLEASE-2012-ShimbaraWKKO #testing: Feature-analysis-based selection method for system configuration for system testing (DS, HW, SK, MK, HO), pp. 61–64.
SPLC-2012-AndersenCSW #feature model #modelling #performance #synthesis: Efficient synthesis of feature models (NA, KC, SS, AW), pp. 106–115.
SPLC-2012-BragaJBL #certification #feature model #modelling #product line: Incorporating certification in feature modelling of an unmanned aerial vehicle product line (RTVB, OTJ, KRLJCB, JL), pp. 249–258.
SPLC-2012-El-SharkawyDS #analysis #feature model #modelling: From feature models to decision models and back again an analysis based on formal transformations (SES, SD, KS), pp. 126–135.
SPLC-2012-GillainFHJS #optimisation: Product portfolio scope optimization based on features and goals (JG, SF, PH, IJ, MS), pp. 161–170.
SPLC-2012-HofmanSPKB #feature model #modelling #product line: Domain specific feature modeling for software product lines (PH, TS, TP, MK, AB), pp. 229–238.
SPLC-2012-JohansenHF #algorithm #array #feature model #generative #modelling #scalability: An algorithm for generating t-wise covering arrays from large feature models (MFJ, ØH, FF), pp. 46–55.
SPLC-2012-NunesGLL #evolution #heuristic #product line: History-sensitive heuristics for recovery of features in code of evolving program families (CN, AG, CJPdL, JL), pp. 136–145.
SPLC-2012-SeidlHA #co-evolution #modelling #product line: Co-evolution of models and feature mapping in software product lines (CS, FH, UA), pp. 76–85.
SPLC-2012-SoltaniAGHB #automation #feature model #non-functional #requirements: Automated planning for feature model configuration based on functional and non-functional requirements (SS, MA, DG, MH, EB), pp. 56–65.
OSDI-2012-BelayBMTMK #cpu #named: Dune: Safe User-level Access to Privileged CPU Features (AB, AB, AJM, DT, DM, CK), pp. 335–348.
ICLP-2012-BacciCFV #automation #functional #logic #specification #synthesis: The additional difficulties for the automatic synthesis of specifications posed by logic features in functional-logic languages (GB, MC, MAF, AV), pp. 144–153.
ECSA-2011-AcherCCMDL #architecture #feature model #modelling #reverse engineering: Reverse Engineering Architectural Feature Models (MA, AC, PC, PM, LD, PL), pp. 220–235.
ECSA-2011-GamezFA #architecture #feature model #modelling: Autonomic Computing Driven by Feature Models and Architecture in FamiWare (NG, LF, MAA), pp. 164–179.
WICSA-2011-Abu-MatarG #architecture #variability: Feature Based Variability for Service Oriented Architectures (MAM, HG), pp. 302–309.
WICSA-2011-Kamath #architecture: Capabilities and Features: Linking Business and Application Architectures (SK), pp. 12–21.
ASE-2011-AcherCLF #feature model #modelling #slicing: Slicing feature models (MA, PC, PL, RBF), pp. 424–427.
ASE-2011-AcherCLF11a #feature model #modelling: Decomposing feature models: language, environment, and applications (MA, PC, PL, RBF), pp. 600–603.
ASE-2011-ApelSWRB #detection #feature model #interactive #using #verification: Detection of feature interactions using feature-aware verification (SA, HS, PW, AvR, DB), pp. 372–375.
ASE-2011-PohlLP #algorithm #analysis #automation #comparison #feature model #modelling #performance: A performance comparison of contemporary algorithmic approaches for automated analysis operations on feature models (RP, KL, KP), pp. 313–322.
ASE-2011-RasoolM #design pattern #detection #flexibility: Flexible design pattern detection based on feature types (GR, PM), pp. 243–252.
ASE-2011-SoltaniAHGB #automation #feature model: Automated planning for feature model configuration based on stakeholders’ business concerns (SS, MA, MH, DG, EB), pp. 536–539.
CASE-2011-BoemPFP #clustering #distance #multi #using: Multi-feature trajectory clustering using Earth Mover’s Distance (FB, FAP, GF, TP), pp. 310–315.
CASE-2011-ColP #detection #performance #recursion: Fast and accurate object detection by means of recursive monomial feature elimination and cascade of SVM (LDC, FAP), pp. 304–309.
CASE-2011-SenoussiCDZ #detection #fault #feature model #process: Feature selection for fault detection systems: Application to the Tennessee Eastman Process (HS, BCM, MD, NZ), pp. 189–194.
DAC-2011-ClemonsJPSA #embedded #feature model #named: EFFEX: an embedded processor for computer vision based feature extraction (JC, AJ, RP, SS, TMA), pp. 1020–1025.
DAC-2011-KadryMGAK #approach #challenge #design #effectiveness #verification: Facing the challenge of new design features: an effective verification approach (WK, RM, AG, EA, CAK), pp. 842–847.
DATE-2011-ChenO #analysis #fault #image #statistics: Diagnosing scan chain timing faults through statistical feature analysis of scan images (MC, AO), pp. 185–190.
DATE-2011-FerentD #automation #design #similarity: A symbolic technique for automated characterization of the uniqueness and similarity of analog circuit design features (CF, AD), pp. 1212–1217.
DRR-2011-BockholtCM #documentation #image #retrieval #segmentation: Document image retrieval with morphology-based segmentation and features combination (TCB, GDCC, CABM), pp. 1–10.
DRR-2011-FanSNMH #feature model #recognition: Natural scene logo recognition by joint boosting feature selection in salient regions (WF, JS, SN, AM, YH), pp. 1–10.
DRR-2011-LiuZ #image #mobile #using: Segmenting texts from outdoor images taken by mobile phones using color features (ZL, HZ), pp. 1–10.
DRR-2011-SiddiqiKV #analysis #identification: Feature relevance analysis for writer identification (IS, KK, NV), pp. 1–10.
HT-2011-WoenselCT #approach #on the fly: A generic approach for on-the-fly adding of context-aware features to existing websites (WVW, SC, ODT), pp. 143–152.
ICDAR-2011-AbediF #analysis #documentation #image #locality #string #using: Localization of Digit Strings in Farsi/Arabic Document Images Using Structural Features and Syntactical Analysis (AA, KF), pp. 728–733.
ICDAR-2011-AlmazanFV #feature model #recognition: A Non-rigid Feature Extraction Method for Shape Recognition (JA, AF, EV), pp. 987–991.
ICDAR-2011-AtanasiuLV #novel #retrieval #using: Writer Retrieval — Exploration of a Novel Biometric Scenario Using Perceptual Features Derived from Script Orientation (VA, LLS, NV), pp. 628–632.
ICDAR-2011-ChaabouniBKAA11a #feature model #identification #online: Combining of Off-line and On-line Feature Extraction Approaches for Writer Identification (AC, HB, MK, AMA, HEA), pp. 1299–1303.
ICDAR-2011-ChoSLK #multi: Scene Text Extraction by Superpixel CRFs Combining Multiple Character Features (MSC, JHS, SL, JHK), pp. 1034–1038.
ICDAR-2011-CoatesCCSSWWN #detection #image #learning #recognition: Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning (AC, BC, CC, SS, BS, TW, DJW, AYN), pp. 440–445.
ICDAR-2011-GaoWJ #2d #optimisation #recognition: A New Feature Optimization Method Based on Two-Directional 2DLDA for Handwritten Chinese Character Recognition (XG, WW, LJ), pp. 232–236.
ICDAR-2011-GarzSD #analysis #layout #using: Layout Analysis for Historical Manuscripts Using Sift Features (AG, RS, MD), pp. 508–512.
ICDAR-2011-GatosKP #adaptation #recognition #word: Adaptive Zoning Features for Character and Word Recognition (BG, ALK, AP), pp. 1160–1164.
ICDAR-2011-HebertPN #multi: Continuous CRF with Multi-scale Quantization Feature Functions Application to Structure Extraction in Old Newspaper (DH, TP, SN), pp. 493–497.
ICDAR-2011-HuZ #online #recognition #using: HMM-Based Recognition of Online Handwritten Mathematical Symbols Using Segmental K-Means Initialization and a Modified Pen-Up/Down Feature (LH, RZ), pp. 457–462.
ICDAR-2011-IwamuraKK #image #multi #recognition #using: Recognition of Multiple Characters in a Scene Image Using Arrangement of Local Features (MI, TK, KK), pp. 1409–1413.
ICDAR-2011-JamilSAR #image #locality #video: Edge-Based Features for Localization of Artificial Urdu Text in Video Images (AJ, IS, FA, AR), pp. 1120–1124.
ICDAR-2011-LouradourK #categorisation #documentation #feature model #image #performance: Sample-Dependent Feature Selection for Faster Document Image Categorization (JL, CK), pp. 309–313.
ICDAR-2011-LuangvilayZN #online: An On-line Handwritten Text Search Method Based on Directional Feature Matching (PL, BZ, MN), pp. 683–686.
ICDAR-2011-NatarajanBPKSN #recognition: Baseline Dependent Percentile Features for Offline Arabic Handwriting Recognition (PN, DB, RP, MK, KS, PN), pp. 329–333.
ICDAR-2011-NguyenB #2d #feature model #verification: An Application of the 2D Gaussian Filter for Enhancing Feature Extraction in Off-line Signature Verification (VN, MB), pp. 339–343.
ICDAR-2011-ParodiGB #approach #feature model #invariant #verification: A Circular Grid-Based Rotation Invariant Feature Extraction Approach for Off-line Signature Verification (MP, JCG, AB), pp. 1289–1293.
ICDAR-2011-Saund #approach #graph #image #maintenance: A Graph Lattice Approach to Maintaining Dense Collections of Subgraphs as Image Features (ES), pp. 1069–1074.
ICDAR-2011-SimistiraPSK #segmentation #word: Enhancing Handwritten Word Segmentation by Employing Local Spatial Features (FS, VP, TS, VK), pp. 1314–1318.
ICDAR-2011-UchidaSF #generative: A Generative Model for Handwritings Based on Enhanced Feature Desynchronization (SU, TS, YF), pp. 589–593.
ICDAR-2011-VinelDA #feature model #linear #optimisation #random: Joint Optimization of Hidden Conditional Random Fields and Non Linear Feature Extraction (AV, TMTD, TA), pp. 513–517.
ICDAR-2011-XuDPL #grid #independence #recognition: An Improved Method Based on Weighted Grid Micro-structure Feature for Text-Independent Writer Recognition (LX, XD, LP, XL), pp. 638–642.
CSMR-2011-AndradeRGSRB #flexibility #implementation: Assessing Idioms for Implementing Features with Flexible Binding Times (RA, MR, VG, LS, HR, PB), pp. 231–240.
ICPC-2011-DitGPA #feature model #identifier #question: Can Better Identifier Splitting Techniques Help Feature Location? (BD, LG, DP, GA), pp. 11–20.
ICPC-2011-JurgensFHDVP #evolution #feature model #profiling: Feature Profiling for Evolving Systems (EJ, MF, MH, FD, RV, KHP), pp. 171–180.
ICSM-2011-WangPXZ #case study #feature model #process: An exploratory study of feature location process: Distinct phases, recurring patterns, and elementary actions (JW, XP, ZX, WZ), pp. 213–222.
ICSM-2011-YousefiS #distributed #identification #mining: Identifying distributed features in SOA by mining dynamic call trees (AY, KS), pp. 73–82.
MSR-2011-CallauRTR #developer #how #programming language #smalltalk: How developers use the dynamic features of programming languages: the case of smalltalk (OC, RR, ÉT, DR), pp. 23–32.
MSR-2011-ParninBM #how #java: Java generics adoption: how new features are introduced, championed, or ignored (CP, CB, ERMH), pp. 3–12.
WCRE-2011-HaslingerLE #feature model #modelling #reverse engineering #set #source code: Reverse Engineering Feature Models from Programs’ Feature Sets (ENH, RELH, AE), pp. 308–312.
WCRE-2011-OlszakJ #comprehension #legacy: Understanding Legacy Features with Featureous (AO, BNJ), pp. 435–436.
WCRE-2011-OlszakRJ #java #runtime: Meta-Level Runtime Feature Awareness for Java (AO, MR, BNJ), pp. 271–274.
WCRE-2011-PosnettHD #fault #question: Got Issues? Do New Features and Code Improvements Affect Defects? (DP, AH, PTD), pp. 211–215.
SEFM-2011-MuscheviciPC #composition #modelling #product line: Modular Modelling of Software Product Lines with Feature Nets (RM, JP, DC), pp. 318–333.
AGTIVE-2011-RungeET #algebra #graph transformation #specification: AGG 2.0 — New Features for Specifying and Analyzing Algebraic Graph Transformations (OR, CE, GT), pp. 81–88.
DHM-2011-RupprechtHB #automation: Automatic Face Feature Points Extraction (DR, SH, RB), pp. 186–194.
DUXU-v2-2011-WatanabeYHA #user interface #web: Study of User Interface for Browsing Web Contents That Considers the Cognitive Features of Older Users (MW, SY, RH, YA), pp. 60–67.
HCD-2011-NazemiBK #graph #taxonomy #visual notation #visualisation: User-Oriented Graph Visualization Taxonomy: A Data-Oriented Examination of Visual Features (KN, MB, AK), pp. 576–585.
HIMI-v1-2011-MurakamiK #music #parametricity #process: Auditory Feature Parameters for Music Based on Human Auditory Processes (MM, TK), pp. 612–617.
IDGD-2011-ChenCC11b #identification #user interface: Identifying the Features of Friendly User Interfaces from Emotional Perspectives (LCC, PYC, YMC), pp. 293–301.
IDGD-2011-YehL #design: Applying Local Culture Features into Creative Craft Products Design (MLY, PHL), pp. 114–122.
OCSC-2011-RahimifarS #chat #persistent: Features to Support Persistent Chat Conversation (MR, SSS), pp. 261–266.
OCSC-2011-TanT #design #perspective: Impact of Blog Design Features on Blogging Satisfaction: An Impression Management Perspective (WKT, HHT), pp. 130–139.
ICEIS-v1-2011-MasadaSO #clustering #documentation #feature model #string: Documents as a Bag of Maximal Substrings — An Unsupervised Feature Extraction for Document Clustering (TM, YS, KO), pp. 5–13.
ICEIS-v1-2011-SantosP #data mining #mining #preprocessor #ubiquitous: Enabling Ubiquitous Data Mining in Intensive Care — Features Selection and Data Pre-processing (MS, FP), pp. 261–266.
ICEIS-v3-2011-XiongNF #component #composition #feature model #research: Research on Component Composition based on Feature Model (LRX, ZN, JF), pp. 214–222.
ICEIS-v4-2011-DavisC11a #data transformation #logic #metadata #modelling: Variant Logic Meta-data Management for Model Driven Applications — Allows Unlimited End User Configuration and Customisation of All Meta-data EIS Application Features (JD, EC), pp. 395–400.
CIKM-2011-Ando #encoding #relational #using: Latent feature encoding using dyadic and relational data (SA), pp. 2201–2204.
CIKM-2011-BanerjeeC #distributed #feature model #privacy #using: Privacy preserving feature selection for distributed data using virtual dimension (MB, SC), pp. 2281–2284.
CIKM-2011-ChengKGSH #automation #generative: Automated feature generation from structured knowledge (WC, GK, TG, DHS, RH), pp. 1395–1404.
CIKM-2011-GuH #feature model #network #towards: Towards feature selection in network (QG, JH), pp. 1175–1184.
CIKM-2011-GuLH #correlation #feature model #multi: Correlated multi-label feature selection (QG, ZL, JH), pp. 1087–1096.
CIKM-2011-IslamABR #experience #visual notation #web: Tightly coupling visual and linguistic features for enriching audio-based web browsing experience (MAI, FA, YB, IVR), pp. 2085–2088.
CIKM-2011-LeeLSY #difference #robust #symmetry #video: Robust video fingerprinting based on hierarchical symmetric difference feature (JL, SL, YS, WY), pp. 2089–2092.
CIKM-2011-LiuCZH #learning #random: Learning conditional random fields with latent sparse features for acronym expansion finding (JL, JC, YZ, YH), pp. 867–872.
CIKM-2011-LiuWZ #clustering #feature model #using: Feature selection using hierarchical feature clustering (HL, XW, SZ), pp. 979–984.
CIKM-2011-TariqK #feature model #performance: Fast supervised feature extraction by term discrimination information pooling (AT, AK), pp. 2233–2236.
CIKM-2011-WangHJT #categorisation #image #learning #metric #multi #performance: Efficient lp-norm multiple feature metric learning for image categorization (SW, QH, SJ, QT), pp. 2077–2080.
CIKM-2011-XuSPZ #kernel #named #performance: TAKES: a fast method to select features in the kernel space (YX, FS, WP, JZ), pp. 683–692.
ECIR-2011-Carrillo-de-AlbornozPGD #analysis #bibliography #mining #rating #sentiment: A Joint Model of Feature Mining and Sentiment Analysis for Product Review Rating (JCdA, LP, PG, AD), pp. 55–66.
ECIR-2011-GeraniKCC #retrieval #using: Personal Blog Retrieval Using Opinion Features (SG, MK, MJC, FC), pp. 747–750.
ECIR-2011-JagarlamudiB #feature model #similarity: Fractional Similarity: Cross-Lingual Feature Selection for Search (JJ, PNB), pp. 226–237.
ECIR-2011-KadarI #adaptation #categorisation: Domain Adaptation for Text Categorization by Feature Labeling (CK, JI), pp. 424–435.
ECIR-2011-MoshfeghiJ #collaboration #recommendation: Role of Emotional Features in Collaborative Recommendation (YM, JMJ), pp. 738–742.
ECIR-2011-NeumayerMN #categorisation #feature model: Combination of Feature Selection Methods for Text Categorisation (RN, RM, KN), pp. 763–766.
ICML-2011-ChenWC #automation #composition: Automatic Feature Decomposition for Single View Co-training (MC, KQW, YC), pp. 953–960.
ICML-2011-GeramifardDRRH #dependence #online: Online Discovery of Feature Dependencies (AG, FD, JR, NR, JPH), pp. 881–888.
ICML-2011-GuanDJ #feature model #probability: A Unified Probabilistic Model for Global and Local Unsupervised Feature Selection (YG, JGD, MIJ), pp. 1073–1080.
ICML-2011-JiangR #feature model: Eigenvalue Sensitive Feature Selection (YJ, JR), pp. 89–96.
ICML-2011-KangGS #learning #multi: Learning with Whom to Share in Multi-task Feature Learning (ZK, KG, FS), pp. 521–528.
ICML-2011-Reyzin #predict: Boosting on a Budget: Sampling for Feature-Efficient Prediction (LR), pp. 529–536.
ICML-2011-RifaiVMGB #feature model: Contractive Auto-Encoders: Explicit Invariance During Feature Extraction (SR, PV, XM, XG, YB), pp. 833–840.
ICML-2011-SaxeKCBSN #learning #on the #random: On Random Weights and Unsupervised Feature Learning (AMS, PWK, ZC, MB, BS, AYN), pp. 1089–1096.
ICML-2011-SmallWBT #learning: The Constrained Weight Space SVM: Learning with Ranked Features (KS, BCW, CEB, TAT), pp. 865–872.
ICML-2011-ZhongK #automation #modelling #performance: Efficient Sparse Modeling with Automatic Feature Grouping (WZ, JTK), pp. 9–16.
KDD-2011-ChenRT #adaptation #detection #incremental #learning: Detecting bots via incremental LS-SVM learning with dynamic feature adaptation (FC, SR, PNT), pp. 386–394.
KDD-2011-HendersonGLAETF #graph #mining #recursion #using: It’s who you know: graph mining using recursive structural features (KH, BG, LL, LA, TER, HT, CF), pp. 663–671.
KDD-2011-KongFY #classification #graph: Dual active feature and sample selection for graph classification (XK, WF, PSY), pp. 654–662.
KDD-2011-PereiraB #classification #functional #using: Classification of functional magnetic resonance imaging data using informative pattern features (FP, MB), pp. 940–946.
KDD-2011-ScellatoNM #network #predict #social: Exploiting place features in link prediction on location-based social networks (SS, AN, CM), pp. 1046–1054.
KDD-2011-ZhuLCX #performance #topic: Conditional topical coding: an efficient topic model conditioned on rich features (JZ, NL, NC, EPX), pp. 475–483.
KDIR-2011-AliDKB #classification #image: Bio-inspired Bags-of-features for Image Classification (WBHA, ED, PK, MB), pp. 277–281.
KDIR-2011-AlvarezCLP #web: The Spanish Web in Numbers — Main Features of the Spanish Hidden Web (MÁ, FC, RLG, VMP), pp. 371–374.
KDIR-2011-BorcheninovO #embedded #programming #search-based #symbolic computation: Genetic Programming with Embedded Features of Symbolic Computations (YVB, YSO), pp. 476–479.
KDIR-2011-DoquireV #approach #category theory #feature model #hybrid: An Hybrid Approach to Feature Selection for Mixed Categorical and Continuous Data (GD, MV), pp. 394–401.
KDIR-2011-FerreiraF #array: Feature Discretization and Selection in Microarray Data (AJF, MATF), pp. 465–469.
KDIR-2011-GilliesSPW #feature model #ontology #simulation: Gene Ontology based Simulation for Feature Selection (CEG, MRS, NVP, GDW), pp. 294–302.
KDIR-2011-HagenauLN #feature model #predict: Impact of Feature Selection and Feature Types on Financial Stock Price Prediction (MH, ML, DN), pp. 303–308.
KDIR-2011-PaliwalP #clustering #documentation #proximity: Utilizing Term Proximity based Features to Improve Text Document Clustering (SP, VP), pp. 537–544.
KEOD-2011-Kral #recognition: Features for Named Entity Recognition in Czech Language (PK), pp. 437–441.
KMIS-2011-SchauerZM #analysis #collaboration #enterprise #open source #tool support: A Feature-based Analysis of Open Source Tools for Enterprise 2.0 — Open Source Tools for Team Collaboration in SMEs (BS, MZ, RM), pp. 57–66.
RecSys-2011-SekoYMM #behaviour #recommendation #representation #using: Group recommendation using feature space representing behavioral tendency and power balance among members (SS, TY, MM, SyM), pp. 101–108.
SEKE-2011-KimLZKLS #approach #configuration management #modelling #privacy: A Feature-Based Modeling Approach to Configuring Privacy and Temporality in RBAC (SK, YTL, YZ, DKK, LL, VS), pp. 666–671.
SEKE-2011-PossompesDHT #design #diagrams #feature model #implementation #uml: Design of a UML profile for feature diagrams and its tooling implementation (TP, CD, MH, CT), pp. 693–698.
SEKE-2011-ReformatP #approach #evaluation #feature model: Criteria of Human Software Evaluation: Feature Selection Approach (MR, SP), pp. 71–76.
SEKE-2011-ZaatarHH #approach #identification #implementation #product line: An Approach for Identifying and Implementing Aspectual Features inSoftware Product Lines (MAZ, HSH, AEFH), pp. 722–728.
SIGIR-2011-BelemMPAG #multi #recommendation: Associative tag recommendation exploiting multiple textual features (FB, EFM, TP, JMA, MAG), pp. 1033–1042.
SIGIR-2011-GaoZLLW #feedback #learning: Learning features through feedback for blog distillation (DG, RZ, WL, RYKL, KFW), pp. 1085–1086.
SIGIR-2011-GengLWWS #assessment #feature model #quality #statistics #web: Statistical feature extraction for cross-language web content quality assessment (GG, XL, LMW, WW, SS), pp. 1129–1130.
SIGIR-2011-JinY #classification #feature model #image #multi: Integrating hierarchical feature selection and classifier training for multi-label image annotation (CJ, CY), pp. 515–524.
SIGIR-2011-MoshfeghiPJ #collaboration #semantics #using: Handling data sparsity in collaborative filtering using emotion and semantic based features (YM, BP, JMJ), pp. 625–634.
SIGIR-2011-OchiOO #predict #rating #using #word: Rating prediction using feature words extracted from customer reviews (MO, MO, RO), pp. 1205–1206.
MoDELS-2011-JohansenHF #combinator #feature model #modelling #product line #testing: Properties of Realistic Feature Models Make Combinatorial Testing of Product Lines Feasible (MFJ, ØH, FF), pp. 638–652.
MoDELS-2011-JohansenHF #combinator #feature model #modelling #product line #testing: Properties of Realistic Feature Models Make Combinatorial Testing of Product Lines Feasible (MFJ, ØH, FF), pp. 638–652.
PLATEAU-2011-SadowskiK #case study #evaluation #heuristic #parallel #programming language: Heuristic evaluation of programming language features: two parallel programming case studies (CS, SK), pp. 9–14.
GPCE-2011-BatoryHK #composition #feature model #interactive: Feature interactions, products, and composition (DSB, PH, JK), pp. 13–22.
GPCE-2011-RibeiroQBTBS #dependence #maintenance #on the #product line: On the impact of feature dependencies when maintaining preprocessor-based software product lines (MR, FQ, PB, TT, CB, SS), pp. 23–32.
RE-2011-BoutkovaH #automation #identification #specification: Semi-automatic identification of features in requirement specifications (EB, FH), pp. 313–318.
RE-2011-FitzgeraldLF #feature model #predict: Early failure prediction in feature request management systems (CF, EL, AF), pp. 229–238.
RE-2011-Regnell #evolution #mobile #problem #scalability: Large-scale feature evolution: Problems and solutions from the mobile domain (BR), p. 323.
SAC-2011-AcherCLF #domain-specific language #feature model #modelling: A domain-specific language for managing feature models (MA, PC, PL, RBF), pp. 1333–1340.
SAC-2011-EbraertSJ #design #diagrams #feature model #implementation: Change-based FODA diagrams: bridging the gap between feature-oriented design and implementation (PE, QDS, DJ), pp. 1345–1352.
SAC-2011-HeinenE #incremental #modelling #using: Incremental feature-based mapping from sonar data using Gaussian mixture models (MRH, PME), pp. 1370–1375.
SAC-2011-HuMB #clustering #documentation #feature model #interactive: Interactive feature selection for document clustering (YH, EEM, JB), pp. 1143–1150.
SAC-2011-KusamaI #music #named #user interface: MusCat: a music browser featuring abstract pictures and zooming user interface (KK, TI), pp. 1222–1228.
SAC-2011-LargeronMG #categorisation #feature model: Entropy based feature selection for text categorization (CL, CM, MG), pp. 924–928.
ESEC-FSE-2011-CostacheKK #design #implementation #process #validation: Design and validation of feature-based process model tailoring: a sample implementation of PDE (DC, GK, MK), pp. 464–467.
GTTSE-2011-KastnerA #development #feature model: Feature-Oriented Software Development (CK, SA), pp. 346–382.
ICSE-2011-ApelB #case study #product line: Feature cohesion in software product lines: an exploratory study (SA, DB), pp. 421–430.
ICSE-2011-CataldoH #analysis #development #empirical #feature model #integration: Factors leading to integration failures in global feature-oriented development: an empirical analysis (MC, JDH), pp. 161–170.
ICSE-2011-DumitruGHCMCM #mining #on-demand #recommendation: On-demand feature recommendations derived from mining public product descriptions (HD, MG, NH, JCH, BM, CCH, MM), pp. 181–190.
ICSE-2011-OlivetoGBPL #identification #smell: Identifying method friendships to remove the feature envy bad smell (RO, MG, GB, DP, ADL), pp. 820–823.
ICSE-2011-PengXTYZ #feature model: Iterative context-aware feature location (XP, ZX, XT, YY, WZ), pp. 900–903.
ICSE-2011-SheLBWC #feature model #modelling #reverse engineering: Reverse engineering feature models (SS, RL, TB, AW, KC), pp. 461–470.
ICSE-2011-StengelFAFKD #development #feature model #infinity #interface: View infinity: a zoomable interface for feature-oriented software development (MS, MF, SA, JF, CK, RD), pp. 1031–1033.
SLE-2011-KaminskiW #attribute grammar #functional #programming language: Integrating Attribute Grammar and Functional Programming Language Features (TK, EVW), pp. 263–282.
PLEASE-2011-SunCGW #approach #feature model #using: Supporting feature model configuration using a demonstration-based approach (YS, HC, JGG, JW), pp. 55–59.
SPLC-2011-AbbasiHH11a #tool support #workflow: A Toolset for Feature-Based Configuration Workflows (EKA, AH, PH), pp. 65–69.
SPLC-2011-KatoY #cumulative #feature model #interactive #product line: Variation Management for Software Product Lines with Cumulative Coverage of Feature Interactions (SK, NY), pp. 140–149.
SPLC-2011-Lopez-HerrejonME #case study #feature model #refactoring #requirements: From Requirements to Features: An Exploratory Study of Feature-Oriented Refactoring (RELH, LMM, AE), pp. 181–190.
SPLC-2011-ThumKES #feature model #modelling: Abstract Features in Feature Modeling (TT, CK, SE, NS), pp. 191–200.
SPLC-2011-ThurimellaJ #feature model #plugin: Metadoc Feature Modeler: A Plug-in for IBM Rational DOORS (AKT, DJ), pp. 313–322.
SPLC-2011-WendeAZK #development #modelling: Feature-Based Customisation of Tool Environments for Model-Driven Software Development (CW, UA, SZ, HK), pp. 45–54.
CBSE-2010-EichbergKMM #component #composition #feature model #modelling #using: Component Composition Using Feature Models (ME, KK, RM, MM), pp. 200–215.
ECSA-2010-ParraCBD #architecture #composition: Feature-Based Composition of Software Architectures (CAP, AC, XB, LD), pp. 230–245.
ASE-2010-RatanotayanonCS #feature model #transitive #using: Using transitive changesets to support feature location (SR, HJC, SES), pp. 341–344.
DATE-2010-RathiDGCV #distance #feature model #gpu #implementation: A GPU based implementation of Center-Surround Distribution Distance for feature extraction and matching (AR, MD, WG, RTC, NV), pp. 172–177.
DocEng-2010-KarolHHA #documentation #feature model #modelling #product line #using: Using feature models for creating families of documents (SK, MH, FH, UA), pp. 259–262.
DocEng-2010-NamaneSM #feature model #matrix #recognition #using: Degraded dot matrix character recognition using CSM-based feature extraction (AN, EHS, PM), pp. 207–210.
DRR-2010-KnoblockCCGMS #approach: A general approach to discovering, registering, and extracting features from raster maps (CAK, CCC, YYC, AG, MM, CS), pp. 1–10.
DRR-2010-Obafemi-AjayiAF #documentation #learning: Learning shape features for document enhancement (TOA, GA, OF), pp. 1–10.
DRR-2010-OhL #evaluation #feature model #optimisation #recognition: Ant colony optimization with selective evaluation for feature selection in character recognition (ISO, JSL), pp. 1–10.
DRR-2010-YouADRGT #image #multimodal #retrieval #using: Biomedical article retrieval using multimodal features and image annotations in region-based CBIR (DY, SA, DDF, MMR, VG, GRT), pp. 1–10.
SIGMOD-2010-CuiTZZ #multi #social #social media: Multiple feature fusion for social media applications (BC, AKHT, CZ, ZZ), pp. 435–446.
ICPC-2010-ChenR #case study #dependence #feature model #graph #using: Case Study of Feature Location Using Dependence Graph, after 10 Years (KC, VR), pp. 1–3.
ICPC-2010-OlszakJ #analysis #java #named: Featureous: A Tool for Feature-Centric Analysis of Java Software (AO, BNJ), pp. 44–45.
ICPC-2010-RatanotayanonCS #data flow #empirical #repository: My Repository Runneth Over: An Empirical Study on Diversifying Data Sources to Improve Feature Search (SR, HJC, SES), pp. 206–215.
ICPC-2010-RevelleDP #data fusion #feature model #mining #using #web: Using Data Fusion and Web Mining to Support Feature Location in Software (MR, BD, DP), pp. 14–23.
ICSM-2010-BhattacharyaN #debugging #fine-grained #graph #incremental #learning #multi: Fine-grained incremental learning and multi-feature tossing graphs to improve bug triaging (PB, IN), pp. 1–10.
ICSM-2010-HayashiSS #comprehension #implementation #interactive #named: iFL: An interactive environment for understanding feature implementations (SH, KS, MS), pp. 1–5.
ICSM-2010-NunesGL #product line: History-sensitive recovery of product line features (CN, AG, CJPdL), pp. 1–2.
WCRE-2010-XueXJ #comprehension #evolution #product line: Understanding Feature Evolution in a Family of Product Variants (YX, ZX, SJ), pp. 109–118.
CAiSE-2010-StoermerRV #evaluation #implementation: Feature-Based Entity Matching: The FBEM Model, Implementation, Evaluation (HS, NR, NV), pp. 180–193.
CIKM-2010-BatalH #classification #predict #using: Constructing classification features using minimal predictive patterns (IB, MH), pp. 869–878.
CIKM-2010-ChatterjeeBR #clustering: Feature subspace transformations for enhancing k-means clustering (AC, SB, PR), pp. 1801–1804.
CIKM-2010-DingSBVWLC #automation #detection #embedded #feature model #framework #image #using: Automatic detection of craters in planetary images: an embedded framework using feature selection and boosting (WD, TFS, LPCB, RV, YW, ZL, TC), pp. 749–758.
CIKM-2010-FeiQH #feature model: Regularization and feature selection for networked features (HF, BQ, JH), pp. 1893–1896.
CIKM-2010-He #classification #learning #sentiment: Learning sentiment classification model from labeled features (YH), pp. 1685–1688.
CIKM-2010-KaliciakSWP #hybrid #image #novel #retrieval: Novel local features with hybrid sampling technique for image retrieval (LK, DS, NW, JP), pp. 1557–1560.
CIKM-2010-KatoOOT: Search as if you were in your home town: geographic search by regional context and dynamic feature-space selection (MPK, HO, SO, KT), pp. 1541–1544.
CIKM-2010-KobdaniSBKH #natural language #re-engineering #relational: Relational feature engineering of natural language processing (HK, HS, AB, WK, GH), pp. 1705–1708.
CIKM-2010-LiuXCY #classification #feature model #multi: Orientation distance-based discriminative feature extraction for multi-class classification (BL, YX, LC, PSY), pp. 909–918.
CIKM-2010-NguyenKPT #image #topic: A feature-word-topic model for image annotation (CTN, NK, XHP, TT), pp. 1481–1484.
CIKM-2010-YangKL #feature model #learning #multi #online: Online learning for multi-task feature selection (HY, IK, MRL), pp. 1693–1696.
CIKM-2010-ZhaoJHSYL #modelling #ranking: Context modeling for ranking and tagging bursty features in text streams (WXZ, JJ, JH, DS, HY, XL), pp. 1769–1772.
ICML-2010-BoureauPL #analysis #recognition #visual notation: A Theoretical Analysis of Feature Pooling in Visual Recognition (YLB, JP, YL), pp. 111–118.
ICML-2010-GaudelS #feature model #game studies: Feature Selection as a One-Player Game (RG, MS), pp. 359–366.
ICML-2010-MasaeliFD #feature model #reduction: From Transformation-Based Dimensionality Reduction to Feature Selection (MM, GF, JGD), pp. 751–758.
ICML-2010-PetrikTPZ #approximate #feature model #linear #markov #process #source code #using: Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes (MP, GT, RP, SZ), pp. 871–878.
ICML-2010-TanWT #dataset #feature model #learning: Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets (MT, LW, IWT), pp. 1047–1054.
ICML-2010-WuYWD #feature model #online #streaming: Online Streaming Feature Selection (XW, KY, HW, WD), pp. 1159–1166.
ICPR-2010-AbergW #3d #algorithm #clustering: A Memetic Algorithm for Selection of 3D Clustered Features with Applications in Neuroscience (MBÅ, JW), pp. 1076–1079.
ICPR-2010-AdamsWDMBG #feature model #less is more #recognition: Genetic-Based Type II Feature Extraction for Periocular Biometric Recognition: Less is More (JA, DLW, GVD, PEM, KSB, GG), pp. 205–208.
ICPR-2010-AlySTT #multi #recognition #robust #self #similarity #using: Robust Face Recognition Using Multiple Self-Organized Gabor Features and Local Similarity Matching (SKHA, AS, NT, RiT), pp. 2909–2912.
ICPR-2010-ArslanSATY #comparison #data access #image #multi #retrieval: Comparison of Multidimensional Data Access Methods for Feature-Based Image Retrieval (SA, AS, EA, IHT, AY), pp. 3260–3263.
ICPR-2010-AwaisM #recognition: Feature Pairs Connected by Lines for Object Recognition (MA, KM), pp. 3093–3096.
ICPR-2010-BayramogluA #image #recognition #using: Shape Index SIFT: Range Image Recognition Using Local Features (NB, AAA), pp. 352–355.
ICPR-2010-BerrettiBPAD #3d #recognition #set: A Set of Selected SIFT Features for 3D Facial Expression Recognition (SB, ADB, PP, BBA, MD), pp. 4125–4128.
ICPR-2010-BonevEGB #feature model #graph: Information-theoretic Feature Selection from Unattributed Graphs (BB, FE, DG, SB), pp. 930–933.
ICPR-2010-BouchrikaCNMT #detection #people #using: Using Gait Features for Improving Walking People Detection (IB, JNC, MSN, RM, GT), pp. 3097–3100.
ICPR-2010-BuyssensR #learning #verification: Learning Sparse Face Features: Application to Face Verification (PB, MR), pp. 670–673.
ICPR-2010-CakirC #2d #feature model #image #using: Image Feature Extraction Using 2D Mel-Cepstrum (SÇ, AEÇ), pp. 674–677.
ICPR-2010-CansizogluB #approach #multi: An Information Fusion Approach for Multiview Feature Tracking (EAC, MB), pp. 1706–1709.
ICPR-2010-CaoZGXG #image #multi: Matching Image with Multiple Local Features (YC, HZ, YG, XX, JG), pp. 519–522.
ICPR-2010-Carneiro #automation #case study #comparative #design #image: A Comparative Study on the Use of an Ensemble of Feature Extractors for the Automatic Design of Local Image Descriptors (GC), pp. 3356–3359.
ICPR-2010-ChenL #distance #recognition: Feature Space Hausdorff Distance for Face Recognition (SC, BCL), pp. 1465–1468.
ICPR-2010-ColemanSG #architecture #feature model #using: Coarse Scale Feature Extraction Using the Spiral Architecture Structure (SAC, BWS, BG), pp. 2370–2373.
ICPR-2010-CordellaSFMF #classification #performance: Combining Single Class Features for Improving Performance of a Two Stage Classifier (LPC, CDS, FF, CM, ASdF), pp. 4352–4355.
ICPR-2010-DiamantiniGP #ranking: Feature Ranking Based on Decision Border (CD, AG, DP), pp. 609–612.
ICPR-2010-DikmenH #canonical #classification #correlation: Improving Classification Accuracy by Comparing Local Features through Canonical Correlations (MD, TSH), pp. 4032–4035.
ICPR-2010-DornaikaC #classification #detection #performance #using: Efficient Object Detection and Matching Using Feature Classification (FD, FC), pp. 3073–3076.
ICPR-2010-DukkipatiYM #classification #feature model #modelling: Maximum Entropy Model Based Classification with Feature Selection (AD, AKY, MNM), pp. 565–568.
ICPR-2010-DuYXGT #identification: Wavelet Domain Local Binary Pattern Features For Writer Identification (LD, XY, HX, ZG, YYT), pp. 3691–3694.
ICPR-2010-EkbalSG #feature model #multi #optimisation #recognition #using: Feature Selection Using Multiobjective Optimization for Named Entity Recognition (AE, SS, CSG), pp. 1937–1940.
ICPR-2010-Fan #recognition: Feature-Based Partially Occluded Object Recognition (NF), pp. 3001–3004.
ICPR-2010-FangGC #estimation: Discriminant Feature Manifold for Facial Aging Estimation (HF, PWG, MC), pp. 593–596.
ICPR-2010-GajsekSM #canonical #correlation #multi #recognition #using: Multi-modal Emotion Recognition Using Canonical Correlations and Acoustic Features (RG, VS, FM), pp. 4133–4136.
ICPR-2010-GruberZWSH #optimisation: Optimization of Target Objects for Natural Feature Tracking (LG, SZ, DW, DS, TH), pp. 3607–3610.
ICPR-2010-GuoC10a #constraints: Triangle-Constraint for Finding More Good Features (XG, XC), pp. 1393–1396.
ICPR-2010-GuoZZ #multi #recognition: Feature Band Selection for Multispectral Palmprint Recognition (ZG, LZ, DZ), pp. 1136–1139.
ICPR-2010-HafnerGLUVW #classification #image #using: Endoscopic Image Classification Using Edge-Based Features (MH, AG, ML, AU, AV, FW), pp. 2724–2727.
ICPR-2010-HalderG #approach #documentation: Color Feature Based Approach for Determining Ink Age in Printed Documents (BH, UG), pp. 3212–3215.
ICPR-2010-HanCR #categorisation #image #low level: Image Categorization by Learned Nonlinear Subspace of Combined Visual-Words and Low-Level Features (XHH, YWC, XR), pp. 3037–3040.
ICPR-2010-HanerG #visual notation: Combining Foreground / Background Feature Points and Anisotropic Mean Shift For Enhanced Visual Object Tracking (SH, IYHG), pp. 3488–3491.
ICPR-2010-HassanCG #documentation #image #kernel #retrieval #using: Document Image Retrieval Using Feature Combination in Kernel Space (EH, SC, MG), pp. 2009–2012.
ICPR-2010-Hotta #classification #using #visual notation #word: Scene Classification Using Local Co-occurrence Feature in Subspace Obtained by KPCA of Local Blob Visual Words (KH), pp. 4230–4233.
ICPR-2010-InoueSSF #feature model #modelling #using: High-Level Feature Extraction Using SIFT GMMs and Audio Models (NI, TS, KS, SF), pp. 3220–3223.
ICPR-2010-IzadiS #automation #detection #image #segmentation #using: Automatic Building Detection in Aerial Images Using a Hierarchical Feature Based Image Segmentation (MI, PS), pp. 472–475.
ICPR-2010-JeffersAH: Entropy of Feature Point-Based Retina Templates (JJ, AA, KJH), pp. 213–216.
ICPR-2010-JiangWXD #classification #image: A New Biologically Inspired Feature for Scene Image Classification (AJ, CW, BX, RD), pp. 758–761.
ICPR-2010-JungO #identification #image #web: Local Binary Pattern-Based Features for Text Identification of Web Images (IJ, ISO), pp. 4320–4323.
ICPR-2010-KellyH #recognition #robust #speech: Auditory Features Revisited for Robust Speech Recognition (FK, NH), pp. 4456–4459.
ICPR-2010-KimLL #approach #probability #segmentation: A Unified Probabilistic Approach to Feature Matching and Object Segmentation (THK, KML, SUL), pp. 464–467.
ICPR-2010-KobayashiO10a #classification #image: Bag of Hierarchical Co-occurrence Features for Image Classification (TK, NO), pp. 3882–3885.
ICPR-2010-KryszczukHS #orthogonal #predict #using: Direct Printability Prediction in VLSI Using Features from Orthogonal Transforms (KK, PH, RS), pp. 2764–2767.
ICPR-2010-KuboPSS #retrieval #video: Video Retrieval Based on Tracked Features Quantization (HK, JP, HS, SS), pp. 3248–3251.
ICPR-2010-LaiJYW #feature model: Sparse Local Discriminant Projections for Feature Extraction (ZL, ZJ, JY, WKW), pp. 926–929.
ICPR-2010-Landesa-VazquezA #detection: The Role of Polarity in Haar-like Features for Face Detection (ILV, JLAC), pp. 412–415.
ICPR-2010-LariosSSMLD #identification #kernel #random: Haar Random Forest Features and SVM Spatial Matching Kernel for Stonefly Species Identification (NL, BS, LGS, GMM, JL, TGD), pp. 2624–2627.
ICPR-2010-LaunilaS #estimation #game studies: Contextual Features for Head Pose Estimation in Football Games (AL, JS), pp. 340–343.
ICPR-2010-LeECA #case study #classification: A Study of Voice Source and Vocal Tract Filter Based Features in Cognitive Load Classification (PNL, JE, EHCC, EA), pp. 4516–4519.
ICPR-2010-LeeWC #classification #linear #multi: A Discriminative and Heteroscedastic Linear Feature Transformation for Multiclass Classification (HSL, HMW, BC), pp. 690–693.
ICPR-2010-LettnerS #robust: Combining Spectral and Spatial Features for Robust Foreground-Background Separation (ML, RS), pp. 1969–1972.
ICPR-2010-LiuYZH #multi #recognition: Action Recognition by Multiple Features and Hyper-Sphere Multi-class SVM (JL, JY, YZ, XH), pp. 3744–3747.
ICPR-2010-LuoFC #recognition: A MANOVA of Major Factors of RIU-LBP Feature for Face Recognition (JL, YF, QC), pp. 1028–1031.
ICPR-2010-MatsukawaK #recognition #using: Action Recognition Using Three-Way Cross-Correlations Feature of Local Moton Attributes (TM, TK), pp. 1731–1734.
ICPR-2010-MaTW #analysis #random #using: Nonlinear Blind Source Separation Using Slow Feature Analysis with Random Features (KM, QT, JW), pp. 830–833.
ICPR-2010-MozaffariBA #classification #gender #geometry #image #using: Gender Classification Using Single Frontal Image Per Person: Combination of Appearance and Geometric Based Features (SM, HB, RA), pp. 1192–1195.
ICPR-2010-NgPS #automation #clustering #fuzzy: Automated Feature Weighting in Fuzzy Declustering-based Vector Quantization (TFN, TDP, CS), pp. 686–689.
ICPR-2010-NguyenFP #detection #towards: Towards a Generic Feature-Selection Measure for Intrusion Detection (HTN, KF, SP), pp. 1529–1532.
ICPR-2010-NishidaKOH #algorithm #using #visual notation: Visual Tracking Algorithm Using Pixel-Pair Feature (KN, TK, YO, MH), pp. 1808–1811.
ICPR-2010-OGorman #analysis #latency #speech: Latency in Speech Feature Analysis for Telepresence Event Coding (LO), pp. 4464–4467.
ICPR-2010-OReillyP #analysis #prototype #statistics: Prototype-Based Methodology for the Statistical Analysis of Local Features in Stereotypical Handwriting Tasks (CO, RP), pp. 1864–1867.
ICPR-2010-PalenichkaLZ #difference #image: Outlier-Resistant Dissimilarity Measure for Feature-based Image Matching (RMP, AL, MBZ), pp. 846–849.
ICPR-2010-ParisG #challenge #multi: Pyramidal Multi-level Features for the Robot Vision@ICPR 2010 Challenge (SP, HG), pp. 2949–2952.
ICPR-2010-Parker #classification #empirical #feature model: An Empirical Study of Feature Extraction Methods for Audio Classification (CP), pp. 4593–4596.
ICPR-2010-PaulaOBS #recognition #using: Forest Species Recognition Using Color-Based Features (PLdP, LSO, AdSBJ, RS), pp. 4178–4181.
ICPR-2010-RahimBBP #analysis #sequence: Pelvic Organs Dynamic Feature Analysis for MRI Sequence Discrimination (MR, MEB, RB, NP), pp. 2496–2499.
ICPR-2010-RahtuSH #random #using: Compressing Sparse Feature Vectors Using Random Ortho-Projections (ER, MS, JH), pp. 1397–1400.
ICPR-2010-RoyM #using #video: Crossmodal Matching of Speakers Using Lip and Voice Features in Temporally Non-overlapping Audio and Video Streams (AR, SM), pp. 4504–4507.
ICPR-2010-SakarK #analysis #canonical #correlation #feature model #hybrid: A Hybrid Method for Feature Selection Based on Mutual Information and Canonical Correlation Analysis (COS, OK), pp. 4360–4363.
ICPR-2010-SakarKSG #clustering #feature model #predict: Prediction of Protein Sub-nuclear Location by Clustering mRMR Ensemble Feature Selection (COS, OK, HS, FG), pp. 2572–2575.
ICPR-2010-SanromaAS #approach #graph #using: A Discrete Labelling Approach to Attributed Graph Matching Using SIFT Features (GS, RA, FS), pp. 954–957.
ICPR-2010-SeverskyY #3d #detection #scalability #set: Scalable Cage-Driven Feature Detection and Shape Correspondence for 3D Point Sets (LMS, LY), pp. 3557–3560.
ICPR-2010-ShahrokniGF #novel #performance #recognition: A Novel Shape Feature for Fast Region-Based Pedestrian Recognition (AS, DG, JMF), pp. 444–447.
ICPR-2010-ShenYS #learning: Learning Discriminative Features Based on Distribution (JS, WY, CS), pp. 1401–1404.
ICPR-2010-ShivakumaraPT #detection #video: New Wavelet and Color Features for Text Detection in Video (PS, TQP, CLT), pp. 3996–3999.
ICPR-2010-ShivakumaraT #classification #novel #video: Novel Edge Features for Text Frame Classification in Video (PS, CLT), pp. 3191–3194.
ICPR-2010-SoltanaACA #adaptation #algorithm #search-based #using: Adaptive Feature and Score Level Fusion Strategy Using Genetic Algorithms (WBS, MA, LC, CBA), pp. 4316–4319.
ICPR-2010-SomolGP #algorithm #feature model #problem #set: The Problem of Fragile Feature Subset Preference in Feature Selection Methods and a Proposal of Algorithmic Workaround (PS, JG, PP), pp. 4396–4399.
ICPR-2010-SongLLJ #detection #representation: A Discriminative Model for Object Representation and Detection via Sparse Features (XS, PL, LL, YJ), pp. 3077–3080.
ICPR-2010-StottingerZKH #dataset #evaluation: FeEval A Dataset for Evaluation of Spatio-temporal Local Features (JS, SZ, RK, AH), pp. 499–502.
ICPR-2010-StuhlsatzLZ #classification #feature model: Feature Extraction for Simple Classification (AS, JL, TZ), pp. 1525–1528.
ICPR-2010-SuLY #recognition: Symbol Recognition Combining Vectorial and Pixel-Level Features for Line Drawings (FS, TL, RY), pp. 1892–1895.
ICPR-2010-SunderR #image #retrieval: Iris Image Retrieval Based on Macro-features (MSS, AR), pp. 1318–1321.
ICPR-2010-TasdemirC #detection #video: Motion Vector Based Features for Content Based Video Copy Detection (KT, AEÇ), pp. 3134–3137.
ICPR-2010-TaWLBJ #recognition: Pairwise Features for Human Action Recognition (APT, CW, GL, AB, JMJ), pp. 3224–3227.
ICPR-2010-Temerinac-OttKB #evaluation: Evaluation of a New Point Clouds Registration Method Based on Group Averaging Features (MTO, MK, HB), pp. 2452–2455.
ICPR-2010-TorrentPLFSMP #approach #detection #using: Detecting Faint Compact Sources Using Local Features and a Boosting Approach (AT, MP, XL, JF, JRSS, JM, JMP), pp. 4613–4616.
ICPR-2010-TumaIP #classification #kernel #set #using: Hydroacoustic Signal Classification Using Kernel Functions for Variable Feature Sets (MT, CI, MP), pp. 1011–1014.
ICPR-2010-UchidaL #analysis #recognition: Analysis of Local Features for Handwritten Character Recognition (SU, ML), pp. 1945–1948.
ICPR-2010-VachaH #invariant #recognition: Natural Material Recognition with Illumination Invariant Textural Features (PV, MH), pp. 858–861.
ICPR-2010-WangB #automation #clustering #evaluation #fault #performance: Performance Evaluation of Automatic Feature Discovery Focused within Error Clusters (SYW, HSB), pp. 718–721.
ICPR-2010-WangLS #documentation #identification #using: Noise Tolerant Script Identification of Printed Oriental and English Documents Using a Downgraded Pixel Density Feature (NW, LL, CYS), pp. 2037–2040.
ICPR-2010-WanLJ #feature model: Feature Extraction Based on Class Mean Embedding (CME) (MW, ZL, ZJ), pp. 4174–4177.
ICPR-2010-Weinman #recognition: Typographical Features for Scene Text Recognition (JJW), pp. 3987–3990.
ICPR-2010-WongSML: Dynamic Amelioration of Resolution Mismatches for Local Feature Based Identity Inference (YW, CS, SM, BCL), pp. 1200–1203.
ICPR-2010-WuLSZ #modelling #word: Integrating ILSR to Bag-of-Visual Words Model Based on Sparse Codes of SIFT Features Representations (LW, SL, WS, XZ), pp. 4283–4286.
ICPR-2010-Xie #segmentation #set #using: Level Set Based Segmentation Using Local Feature Distribution (XX), pp. 2780–2783.
ICPR-2010-XieLJ #adaptation #visual notation: Tracking Objects with Adaptive Feature Patches for PTZ Camera Visual Surveillance (YX, LL, YJ), pp. 1739–1742.
ICPR-2010-XueJ #3d #recognition: A New Rotation Feature for Single Tri-axial Accelerometer Based 3D Spatial Handwritten Digit Recognition (YX, LJ), pp. 4218–4221.
ICPR-2010-XuV: Binary Representations of Fingerprint Spectral Minutiae Features (HX, RNJV), pp. 1212–1216.
ICPR-2010-YamakoshiHOKSSIYSM: Implicit Feature-Based Alignment System for Radiotherapy (RY, KH, HO, HK, KS, HS, YI, TY, DS, MM), pp. 2286–2289.
ICPR-2010-YangK #feature model #fourier #performance: Fast Polar and Spherical Fourier Descriptors for Feature Extraction (ZY, SiK), pp. 975–978.
ICPR-2010-YangLC: Bag of Features Tracking (FY, HL, YWC), pp. 153–156.
ICPR-2010-YangZZZ #feature model #novel #recognition #representation: Monogenic Binary Pattern (MBP): A Novel Feature Extraction and Representation Model for Face Recognition (MY, LZ, LZ, DZ), pp. 2680–2683.
ICPR-2010-Yildiz #feature model: Feature Extraction from Discrete Attributes (OTY), pp. 3915–3918.
ICPR-2010-YoonK #recognition #using: Human Action Recognition Using Segmented Skeletal Features (SMY, AK), pp. 3740–3743.
ICPR-2010-ZhangXL #detection #video: Extracting Key Sub-trajectory Features for Supervised Tactic Detection in Sports Video (YZ, CX, HL), pp. 125–128.
ICPR-2010-ZhangXW #data transformation #detection: Data Transformation of the Histogram Feature in Object Detection (RZ, BX, CW), pp. 2893–2896.
ICPR-2010-ZhaoGZ #evaluation #micropattern #performance #recognition #representation: Performance Evaluation of Micropattern Representation on Gabor Features for Face Recognition (SZ, YG, BZ), pp. 1273–1276.
ICPR-2010-ZhaoHDC #3d #automation #feature model #recognition #statistics: Automatic 3D Facial Expression Recognition Based on a Bayesian Belief Net and a Statistical Facial Feature Model (XZ, DH, ED, LC), pp. 3724–3727.
ICPR-2010-ZhaoLZZ #parallel: Parallel versus Hierarchical Fusion of Extended Fingerprint Features (QZ, FL, LZ, DZ), pp. 1132–1135.
ICPR-2010-ZhaoWSS #feature model #process #recognition: Motif Discovery and Feature Selection for CRF-based Activity Recognition (LZ, XW, GS, RS), pp. 3826–3829.
ICPR-2010-ZwengK #behaviour #image #multi #recognition #sequence #using: Unexpected Human Behavior Recognition in Image Sequences Using Multiple Features (AZ, MK), pp. 368–371.
KDD-2010-CaiZH #clustering #feature model #multi: Unsupervised feature selection for multi-cluster data (DC, CZ, XH), pp. 333–342.
KDD-2010-KongY #classification #feature model #graph: Semi-supervised feature selection for graph classification (XK, PSY), pp. 793–802.
KDD-2010-LiAZ #mining: Mining positive and negative patterns for relevance feature discovery (YL, AA, NZ), pp. 753–762.
KDD-2010-YangO #feature model #predict #probability #using: Feature selection for support vector regression using probabilistic prediction (JBY, CJO), pp. 343–352.
KDD-2010-YuHW #clustering #documentation #feature model #process: Document clustering via dirichlet process mixture model with feature selection (GY, RzH, ZW), pp. 763–772.
KDD-2010-ZhuLX #feature model #incremental #learning #markov #named #performance #random: Grafting-light: fast, incremental feature selection and structure learning of Markov random fields (JZ, NL, EPX), pp. 303–312.
KDIR-2010-NcirEB #clustering #kernel: Kernel Overlapping K-Means for Clustering in Feature Space (CEBN, NE, PB), pp. 250–255.
KDIR-2010-PalmeriniRMCV #feature model: Feature Selection for the Instrumented Timed Up and Go in Parkinson’s Disease (LP, LR, SM, LC, FV), pp. 95–99.
KDIR-2010-SiebersS #feature model: Interleaving Forward Backward Feature Selection (MS, US), pp. 454–457.
KEOD-2010-ReinosoOGH #approach #statistics #wiki: A Statistical Approach to the Impact of Featured Articles in Wikipedia (AJR, FO, JMGB, IH), pp. 420–423.
KR-2010-Poole #logic #semantics #towards: Towards a Logic of Feature-Based Semantic Science Theories (DP).
SEKE-2010-Abu-MatarGKE #architecture #feature model #modelling #variability: Feature Modeling for Service Variability Management in Service-Oriented Architectures (MAM, HG, MK, AME), pp. 468–473.
SEKE-2010-HirveMSV: Feature based Structuring and Composing of SDLC Artifacts (NH, TM, US, RV), pp. 583–586.
SEKE-2010-WangKG #classification #feature model #quality: Ensemble Feature Selection Technique for Software Quality Classification (HW, TMK, KG), pp. 215–220.
SEKE-2010-ZhangYW #question: Absent features or missing values? (WZ, YY, QW), pp. 6–11.
SIGIR-2010-GopalY #classification #multi: Multilabel classification with meta-level features (SG, YY), pp. 315–322.
SIGIR-2010-WangDL #comprehension #documentation #matrix #set: Feature subset non-negative matrix factorization and its applications to document understanding (DW, CHQD, TL), pp. 805–806.
ECMFA-2010-AcherCLF #composition #feature model: Comparing Approaches to Implement Feature Model Composition (MA, PC, PL, RBF), pp. 3–19.
MoDELS-v1-2010-WangXHZZM #approach #consistency #feature model #modelling: A Dynamic-Priority Based Approach to Fixing Inconsistent Feature Models (BW, YX, ZH, HZ, WZ, HM), pp. 181–195.
MoDELS-v2-2010-DenkerRGN #modelling #runtime: Modeling Features at Runtime (MD, JR, OG, ON), pp. 138–152.
GPCE-2010-SchulzeAK #feature model #product line: Code clones in feature-oriented software product lines (SS, SA, CK), pp. 103–112.
RE-2010-StoiberFJG #product line #refactoring #requirements #specification #weaving: Feature Unweaving: Refactoring Software Requirements Specifications into Software Product Lines (RS, SF, MJ, MG), pp. 403–404.
REFSQ-2010-HubauxHSD #multi #towards: Towards Multi-view Feature-Based Configuration (AH, PH, PYS, DD), pp. 106–112.
SAC-2010-AthanasiadisFNS #3d #geometry #optimisation: Feature-based 3D morphing based on geometrically constrained sphere mapping optimization (TA, IF, CN, VS), pp. 1258–1265.
SAC-2010-BaccianellaES #feature model: Feature selection for ordinal regression (SB, AE, FS), pp. 1748–1754.
SAC-2010-BaeAVNB #algorithm #performance #search-based: Convex onion peeling genetic algorithm: an efficient solution to map labeling of point-feature (WDB, SA, PV, SN, KYB), pp. 892–899.
SAC-2010-EbraertDMJ #feature model: Intensional changes: modularizing crosscutting features (PE, TD, TM, DJ), pp. 2176–2182.
SAC-2010-Nakajima #automation #diagrams #feature model: Semi-automated diagnosis of FODA feature diagram (SN), pp. 2191–2197.
SAC-2010-RiosBKO #documentation #evaluation #set #word: Evaluation of different feature sets in an OCR free method for word spotting in printed documents (IR, AdSBJ, ALK, LSO), pp. 52–56.
SAC-2010-RoyM #verification #visual notation: Visual processing-inspired fern-audio features for noise-robust speaker verification (AR, SM), pp. 1491–1495.
SAC-2010-SillaKK #automation #classification #hybrid #music: Improving automatic music genre classification with hybrid content-based feature vectors (CNSJ, ALK, CAAK), pp. 1702–1707.
SAC-2010-SmithH #documentation #image #retrieval #using: Document retrieval using image features (DS, RH), pp. 47–51.
SAC-2010-Sobernig #feature model #interactive #network: Feature interaction networks (SS), pp. 2360–2364.
FSE-2010-Elkhodary #adaptation #approach #feature model #self: A learning-based approach for engineering feature-oriented self-adaptive software systems (AME), pp. 345–348.
ICSE-2010-SavageRP #feature model #named: FLAT³: feature location and textual tracing tool (TS, MR, DP), pp. 255–258.
ICSE-2010-Shaker #feature model #modelling #requirements: Feature-oriented requirements modelling (PS), pp. 365–368.
SLE-2010-BakCW #metamodelling: Feature and Meta-Models in Clafer: Mixed, Specialized, and Coupled (KB, KC, AW), pp. 102–122.
SLE-2010-HubauxBHMH #case study #feature model #industrial #modelling: Evaluating a Textual Feature Modelling Language: Four Industrial Case Studies (AH, QB, HH, RM, PH), pp. 337–356.
PLEASE-2010-BotterweckPDPK #evolution #named #product line: EvoFM: feature-driven planning of product-line evolution (GB, AP, DD, AP, SK), pp. 24–31.
PLEASE-2010-KammullerRR #higher-order #variability: Feature link propagation across variability representations with Isabelle/HOL (FK, AR, MOR), pp. 48–53.
SPLC-2010-BagheriAGS #process: Stratified Analytic Hierarchy Process: Prioritization and Selection of Software Features (EB, MA, DG, SS), pp. 300–315.
SPLC-2010-BagheriNRG #configuration management #feature model #modelling #product line #requirements: Configuring Software Product Line Feature Models Based on Stakeholders’ Soft and Hard Requirements (EB, TDN, AR, DG), pp. 16–31.
SPLC-2010-BergerSLCW #product line #scalability: Feature-to-Code Mapping in Two Large Product Lines (TB, SS, RL, KC, AW), pp. 498–499.
SPLC-2010-CosmoZ #dependence #diagrams #feature model: Feature Diagrams as Package Dependencies (RDC, SZ), pp. 476–480.
SPLC-2010-DaoK #approach #component #problem #reuse: Mapping Features to Reusable Components: A Problem Frames-Based Approach (TMD, KCK), pp. 377–392.
SPLC-2010-GhanamM #execution #feature model #modelling #testing #using: Linking Feature Models to Code Artifacts Using Executable Acceptance Tests (YG, FM), pp. 211–225.
SPLC-2010-GilKM #constraints #diagrams #feature model #modelling: Sans Constraints? Feature Diagrams vs. Feature Models (JYG, SKD, IM), pp. 271–285.
SPLC-2010-GuoW #consistency #evolution #feature model #modelling #towards: Towards Consistent Evolution of Feature Models (JG, YW), pp. 451–455.
SPLC-2010-KaratasOD #constraints #feature model #finite #logic programming #modelling: Mapping Extended Feature Models to Constraint Logic Programming over Finite Domains (ASK, HO, AHD), pp. 286–299.
SPLC-2010-LeeK #feature model: Usage Context as Key Driver for Feature Selection (KL, KCK), pp. 32–46.
SPLC-2010-Nakajima #automation #diagrams #encoding #feature model: Non-clausal Encoding of Feature Diagram for Automated Diagnosis (SN), pp. 420–424.
SPLC-2010-YoshimuraAF #constraints #feature model #identification #mining: A Method to Identify Feature Constraints Based on Feature Selections Mining (KY, YA, TF), pp. 425–429.
SPLC-2010-ZhangJ #approach #feature model #hybrid #programming: A Hybrid Approach to Feature-Oriented Programming in XVCL (HZ, SJ), pp. 440–445.
ICST-2010-SeguraHBR #analysis #approach #automation #feature model #generative #modelling #testing: Automated Test Data Generation on the Analyses of Feature Models: A Metamorphic Testing Approach (SS, RMH, DB, ARC), pp. 35–44.
ICTSS-2010-LamanchaU #generative #product line #testing #using: Testing Product Generation in Software Product Lines Using Pairwise for Features Coverage (BPL, MPU), pp. 111–125.
WICSA-ECSA-2009-PerovichRB #architecture #feature model #product line: Feature model to product architectures: Applying MDE to Software Product Lines (DP, POR, MCB), pp. 201–210.
ASE-2009-ShivajiWAK #debugging #predict: Reducing Features to Improve Bug Prediction (SS, EJWJ, RA, SK), pp. 600–604.
ICDAR-2009-AgrawalD09a #approach #segmentation: Voronoi++: A Dynamic Page Segmentation Approach Based on Voronoi and Docstrum Features (MA, DSD), pp. 1011–1015.
ICDAR-2009-AssabieB #recognition #word: HMM-Based Handwritten Amharic Word Recognition with Feature Concatenation (YA, JB), pp. 961–965.
ICDAR-2009-BenjelilKMA #identification: Arabic and Latin Script Identification in Printed and Handwritten Types Based on Steerable Pyramid Features (MB, SK, RM, AMA), pp. 591–595.
ICDAR-2009-ChouaibVCT #documentation #feature model: Generic Feature Selection and Document Processing (HC, NV, FC, ST), pp. 356–360.
ICDAR-2009-DiemS #recognition #using: Recognition of Degraded Handwritten Characters Using Local Features (MD, RS), pp. 221–225.
ICDAR-2009-EmmanouilidisBP #classification #development #evaluation #locality: Development and Evaluation of Text Localization Techniques Based on Structural Texture Features and Neural Classifiers (CE, CB, NP), pp. 1270–1274.
ICDAR-2009-FornesLSB #identification #music #on the: On the Use of Textural Features for Writer Identification in Old Handwritten Music Scores (AF, JL, GS, HB), pp. 996–1000.
ICDAR-2009-HaboubiMEA #invariant #set: Invariant Primitives for Handwritten Arabic Script: A Contrastive Study of Four Feature Sets (SH, SM, NE, HEA), pp. 691–697.
ICDAR-2009-HamdaniAKA #multi #online #recognition #using: Combining Multiple HMMs Using On-line and Off-line Features for Off-line Arabic Handwriting Recognition (MH, HEA, MK, AMA), pp. 201–205.
ICDAR-2009-IbrahimKKAG #analysis #dependence #online #using #verification: On-Line Signature Verification: Directional Analysis of a Signature Using Weighted Relative Angle Partitions for Exploitation of Inter-Feature Dependencies (MTI, MJK, MAK, KSA, LG), pp. 41–45.
ICDAR-2009-KukC #documentation #image: Feature Based Binarization of Document Images Degraded by Uneven Light Condition (JGK, NIC), pp. 748–752.
ICDAR-2009-LecerfC #documentation #feature model #scalability: Scalable Feature Extraction from Noisy Documents (LL, BC), pp. 361–365.
ICDAR-2009-LiFWL #documentation #image #retrieval #sequence: Document Image Retrieval with Local Feature Sequences (JL, ZGF, YW, NL), pp. 346–350.
ICDAR-2009-LiST #identification #independence #online: Hierarchical Shape Primitive Features for Online Text-independent Writer Identification (BL, ZS, TT), pp. 986–990.
ICDAR-2009-MaHS #case study #design #markov #modelling #online #recognition: A Study of Feature Design for Online Handwritten Chinese Character Recognition Based on Continuous-Density Hidden Markov Models (LM, QH, YS), pp. 526–530.
ICDAR-2009-NguyenBL #problem #verification: Global Features for the Off-Line Signature Verification Problem (VN, MB, GL), pp. 1300–1304.
ICDAR-2009-PalWK #case study #classification #comparative #recognition #using: Comparative Study of Devnagari Handwritten Character Recognition Using Different Feature and Classifiers (UP, TW, FK), pp. 1111–1115.
ICDAR-2009-SchenkKR #online #question #recognition: Selecting Features in On-Line Handwritten Whiteboard Note Recognition: SFS or SFFS? (JS, MK, GR), pp. 1251–1254.
ICDAR-2009-SiddiqiV #recognition #set: A Set of Chain Code Based Features for Writer Recognition (IS, NV), pp. 981–985.
ICDAR-2009-TerasawaT #documentation #image #word: Slit Style HOG Feature for Document Image Word Spotting (KT, YT), pp. 116–120.
ICDAR-2009-VamvakasGP #classification #documentation #feature model #novel #recognition: A Novel Feature Extraction and Classification Methodology for the Recognition of Historical Documents (GV, BG, SJP), pp. 491–495.
ICDAR-2009-WakabayashiPKM #feature model #recognition: F-ratio Based Weighted Feature Extraction for Similar Shape Character Recognition (TW, UP, FK, YM), pp. 196–200.
ICDAR-2009-WangBA #automation #documentation #using: Document Content Extraction Using Automatically Discovered Features (SYW, HSB, CA), pp. 1076–1080.
ICDAR-2009-WangC #bound #detection #documentation #image: Logo Detection in Document Images Based on Boundary Extension of Feature Rectangles (HW, YC), pp. 1335–1339.
ICDAR-2009-WangHL #verification: A New Block Partitioned Text Feature for Text Verification (XW, LH, CL), pp. 366–370.
ICDAR-2009-ZhangJDG #named #novel #recognition: Character-SIFT: A Novel Feature for Offline Handwritten Chinese Character Recognition (ZZ, LJ, KD, XG), pp. 763–767.
ICDAR-2009-ZhuSMHN #classification #feature model: Separate Chinese Character and English Character by Cascade Classifier and Feature Selection (YZ, JS, AM, YH, SN), pp. 1191–1195.
FASE-2009-NguyenNPAN #clone detection #detection #feature model #performance: Accurate and Efficient Structural Characteristic Feature Extraction for Clone Detection (HAN, TTN, NHP, JMAK, TNN), pp. 440–455.
ICPC-2009-EdwardsWSG #feature model: Instrumenting time-sensitive software for feature location (DE, NW, SS, EG), pp. 130–137.
ICPC-2009-KimSW #configuration management #named: Kenyon-web: Reconfigurable web-based feature extractor (SK, SS, EJWJ), pp. 287–288.
ICPC-2009-RevelleP #case study #feature model: An exploratory study on assessing feature location techniques (MR, DP), pp. 218–222.
ICSM-2009-GeetD #case study #cobol #experience #feature model: Feature location in COBOL mainframe systems: An experience report (JVG, SD), pp. 361–370.
ICSM-2009-HouW #case study #eclipse #evolution: Analyzing the evolution of user-visible features: A case study with Eclipse (DH, YW), pp. 479–482.
WCRE-1999-Revelle99a #maintenance: Supporting Feature-Level Software Maintenance (MR), pp. 287–290.
WCRE-1999-YangPZ99a #concept analysis #data access #feature model #multi #semantics #using: Domain Feature Model Recovery from Multiple Applications Using Data Access Semantics and Formal Concept Analysis (YY, XP, WZ), pp. 215–224.
HCD-2009-KrohnKH #approach #design #development #web: User-Centered Design Meets Feature-Driven Development: An Integrating Approach for Developing the Web Application myPIM (TK, MCK, MH), pp. 739–748.
HCI-NIMT-2009-MurakamiK #classification #music: Study of Feature Values for Subjective Classification of Music (MM, TK), pp. 701–709.
HCI-NT-2009-AsteriadisKK #feature model #human-computer: Feature Extraction and Selection for Inferring User Engagement in an HCI Environment (SA, KK, SDK), pp. 22–29.
HIMI-DIE-2009-SrinivasSPK #classification #feature model #performance #using: Efficient Text Classification Using Best Feature Selection and Combination of Methods (MS, KPS, EVP, SAK), pp. 437–446.
HIMI-II-2009-KimMPH #performance #using #visualisation: Efficient Annotation Visualization Using Distinctive Features (SKK, SHM, JP, SYH), pp. 295–303.
HIMI-II-2009-RheeKKLC #communication: Expanding SNS Features with CE Devices: Space, Profile, Communication (YR, HK, YK, JL, IC), pp. 458–467.
OCSC-2009-ChaLHK #evaluation #using: User Reputation Evaluation Using Co-occurrence Feature and Collective Intelligence (JWC, HwL, YSH, LK), pp. 305–311.
OCSC-2009-LauK #bibliography #community #online #perspective #social: Social Features in Online Communities for Healthcare Consumers — A Review (AYSL, TMYK), pp. 682–689.
ICEIS-AIDSS-2009-ZhengZLL #case study #classification #image #multi: Study on Image Classification based on SVM and the Fusion of Multiple Features (DZ, TZ, SL, YL), pp. 80–84.
CIKM-2009-FeiH #graph #kernel: L2 norm regularized feature kernel regression for graph data (HF, JH), pp. 593–600.
CIKM-2009-FernandezL #retrieval #using: Using opinion-based features to boost sentence retrieval (RTF, DEL), pp. 1617–1620.
CIKM-2009-FigueiredoBPAGFMC #quality #web: Evidence of quality of textual features on the web 2.0 (FF, FB, HP, JMA, MAG, DFdO, ESdM, MC), pp. 909–918.
CIKM-2009-GuoZGZS #categorisation #multi #semantics: Product feature categorization with multilevel latent semantic association (HG, HZ, ZG, XZ, ZS), pp. 1087–1096.
CIKM-2009-LiaoM #documentation #re-engineering: Feature engineering on event-centric surrogate documents to improve search results (WL, IM), pp. 1629–1632.
CIKM-2009-MartineauFJP #classification #difference #problem #using #word: Improving binary classification on text problems using differential word features (JM, TF, AJ, SP), pp. 2019–2024.
CIKM-2009-PanCASD #feature model #ranking #using: Feature selection for ranking using boosted trees (FP, TC, DA, FS, GD), pp. 2025–2028.
CIKM-2009-XuFZH #feature model #orthogonal #using: To obtain orthogonal feature extraction using training data selection (YX, SF, JZ, OH), pp. 1819–1822.
CIKM-2009-YangXBHSY #case study #cumulative #generative #information retrieval #social #using: A study of information retrieval on accumulative social descriptions using the generation features (LY, SX, SB, DH, ZS, YY), pp. 721–730.
CIKM-2009-YuOH #performance #ranking: Efficient feature weighting methods for ranking (HY, JO, WSH), pp. 1157–1166.
CIKM-2009-ZhangXSYD #evaluation #learning #named: ROSE: retail outlet site evaluation by learning with both sample and feature preference (BZ, MX, JYS, WJY, JD), pp. 1397–1404.
ECIR-2009-BidokiT #documentation: Combination of Documents Features Based on Simulated Click-through Data (AMZB, JAT), pp. 538–545.
ECIR-2009-EsuliS09a #classification #encoding: Encoding Ordinal Features into Binary Features for Text Classification (AE, FS), pp. 771–775.
ECIR-2009-HalveyPHVHGJ #case study #difference #low level #metric #retrieval #using #video: Diversity, Assortment, Dissimilarity, Variety: A Study of Diversity Measures Using Low Level Features for Video Retrieval (MH, PP, DH, RV, FH, AG, JMJ), pp. 126–137.
ECIR-2009-PengO #independence #information retrieval #web: Selective Application of Query-Independent Features in Web Information Retrieval (JP, IO), pp. 375–387.
ECIR-2009-TsagkiasLR #predict: Exploiting Surface Features for the Prediction of Podcast Preference (MT, ML, MdR), pp. 473–484.
ICML-2009-BoutilierRV #elicitation #interactive #online #optimisation: Online feature elicitation in interactive optimization (CB, KR, PV), pp. 73–80.
ICML-2009-DiukLL #adaptation #feature model #learning #problem: The adaptive k-meteorologists problem and its application to structure learning and feature selection in reinforcement learning (CD, LL, BRL), pp. 249–256.
ICML-2009-HelleputteD #feature model #linear #modelling: Partially supervised feature selection with regularized linear models (TH, PD), pp. 409–416.
ICML-2009-KolterN09a #difference #feature model #learning: Regularization and feature selection in least-squares temporal difference learning (JZK, AYN), pp. 521–528.
ICML-2009-KuzelkaZ #relational: Block-wise construction of acyclic relational features with monotone irreducibility and relevancy properties (OK, FZ), pp. 569–576.
ICML-2009-WeinbergerDLSA #learning #multi #scalability: Feature hashing for large scale multitask learning (KQW, AD, JL, AJS, JA), pp. 1113–1120.
ICML-2009-XuJYLK #feature model: Non-monotonic feature selection (ZX, RJ, JY, MRL, IK), pp. 1145–1152.
ICML-2009-YuanH #feature model #learning #robust: Robust feature extraction via information theoretic learning (XY, BGH), pp. 1193–1200.
KDD-2009-FormanSR #classification #linear: Feature shaping for linear SVM classifiers (GF, MS, SR), pp. 299–308.
KDD-2009-JiYLZKY #interactive #using: Drosophila gene expression pattern annotation using sparse features and term-term interactions (SJ, LY, YXL, ZHZ, SK, JY), pp. 407–416.
KDD-2009-LoscalzoYD #feature model: Consensus group stable feature selection (SL, LY, CHQD), pp. 567–576.
KDIR-2009-SilvestreCF #category theory #clustering #modelling: Selecting Categorical Features in Model-based Clustering (CMVS, MMGSC, MATF), pp. 303–306.
MLDM-2009-JingWYX #categorisation #feature model #framework: A General Framework of Feature Selection for Text Categorization (HJ, BW, YY, YX), pp. 647–662.
MLDM-2009-LiuYZZZL #classification #scalability: A Large Margin Classifier with Additional Features (XL, JY, EZ, GZ, YZ, ML), pp. 82–95.
MLDM-2009-SeredinKM #machine learning #order #set: Selection of Subsets of Ordered Features in Machine Learning (OS, AK, VM), pp. 16–28.
RecSys-2009-BaoBT #recommendation: Stacking recommendation engines with additional meta-features (XB, LB, RT), pp. 109–116.
RecSys-2009-BoutilierRV #elicitation: Preference elicitation with subjective features (CB, KR, PV), pp. 341–344.
SEKE-2009-LinWK #algorithm #feature model #hybrid #novel: A Novel Hybrid Search Algorithm for Feature Selection (PL, HW, TMK), pp. 81–86.
SEKE-2009-Nakajima #diagrams #feature model: Constructing FODA Feature Diagrams with a GUI-based Tool (SN), pp. 20–25.
SIGIR-2009-AmbaiY #clustering #image #multi #ranking #set #visual notation: Multiclass VisualRank: image ranking method in clustered subsets based on visual features (MA, YY), pp. 732–733.
SIGIR-2009-KellyGB #comparison #interactive #query: A comparison of query and term suggestion features for interactive searching (DK, KG, EWB), pp. 371–378.
SIGIR-2009-Liu09a #information retrieval #personalisation #topic #using: Personalizing information retrieval using task features, topic knowledge, and task product (JL), p. 855.
SIGIR-2009-PunithaJG #automation #feature model #multi #query #retrieval #topic #using #video: Topic prerogative feature selection using multiple query examples for automatic video retrieval (PP, JMJ, AG), pp. 804–805.
SIGIR-2009-YangC #automation #feature model #induction #taxonomy: Feature selection for automatic taxonomy induction (HY, JC), pp. 684–685.
GPCE-2009-KastnerAK #refactoring: A model of refactoring physically and virtually separated features (CK, SA, MK), pp. 157–166.
GPCE-2009-KuhlemannBK #composition: Safe composition of non-monotonic features (MK, DSB, CK), pp. 177–186.
GPCE-2009-SanenTJ #approach #feature model #interactive #problem: Mapping problem-space to solution-space features: a feature interaction approach (FS, ET, WJ), pp. 167–176.
PPDP-2009-CodishGS #declarative #encoding #satisfiability: A declarative encoding of telecommunications feature subscription in SAT (MC, SG, PJS), pp. 255–266.
RE-2009-ClassenHH #analysis #feature model #workflow: Analysis of Feature Configuration Workflows (AC, AH, PH), pp. 381–382.
RE-2009-KauppinenSLKTD #development: From Feature Development to Customer Value Creation (MK, JS, LL, MK, HT, AMD), pp. 275–280.
RE-2009-SalinesiRDM #classification #fault #feature model #modelling #product line #towards #verification: Looking for Product Line Feature Models Defects: Towards a Systematic Classification of Verification Criteria (CS, CR, DD, RM), pp. 385–386.
RE-2009-WaldmannJ #feature model #perspective #requirements #reuse: Feature-oriented Requirements Satisfy Needs for Reuse and Systems View (BW, PJ), pp. 329–334.
RE-2009-WangZZJM #approach #case study #feature model #modelling: A Use Case Based Approach to Feature Models’ Construction (BW, WZ, HZ, ZJ, HM), pp. 121–130.
RE-2009-WnukRK #comprehension #industrial #scalability #visualisation #what: What Happened to Our Features? Visualization and Understanding of Scope Change Dynamics in a Large-Scale Industrial Setting (KW, BR, LK), pp. 89–98.
SAC-2009-EbraertVV #flexibility #reuse: Flexible features: making feature modules more reusable (PE, JV, YV), pp. 1963–1970.
SAC-2009-LeS #concept #detection #performance #visual notation: Efficient concept detection by fusing simple visual features (DDL, SS), pp. 1839–1840.
SAC-2009-LiuDSYH #algorithm #classification #image #invariant #using: A new K-View algorithm for texture image classification using rotation-invariant feature (HL, SD, ES, CY, CCH), pp. 914–921.
SAC-2009-MarquesF #documentation #using: Reconstructing strip-shredded documents using color as feature matching (MAOM, COAF), pp. 893–894.
SAC-2009-ZaidKT #feature model #modelling #semantics #web: Applying semantic web technology to feature modeling (LAZ, FK, ODT), pp. 1252–1256.
SAC-2009-ZhangCCW #clustering #image #visual notation: Revealing common sources of image spam by unsupervised clustering with visual features (CZ, WbC, XC, GW), pp. 891–892.
ICSE-2009-KastnerTSFLWA #development #feature model #framework #named: FeatureIDE: A tool framework for feature-oriented software development (CK, TT, GS, JF, TL, FW, SA), pp. 611–614.
ICSE-2009-ThumBK #feature model #modelling #reasoning: Reasoning about edits to feature models (TT, DSB, CK), pp. 254–264.
SLE-2009-AcherCLF #feature model #modelling: Composing Feature Models (MA, PC, PL, RBF), pp. 62–81.
SPLC-2009-Fernandez-AmorosGS #diagrams #feature model #modelling #product line: Inferring information from feature diagrams to product line economic models (DFA, RHG, JACS), pp. 41–50.
SPLC-2009-HartmannTM #feature model #independence #modelling: Supplier independent feature modelling (HH, TT, AAJM), pp. 191–200.
SPLC-2009-HubauxCH #feature model #formal method #modelling #workflow: Formal modelling of feature configuration workflows (AH, AC, PH), pp. 221–230.
SPLC-2009-KastnerARRBS #analysis #case study #on the #problem: On the impact of the optional feature problem: analysis and case studies (CK, SA, SSuR, MR, DSB, GS), pp. 181–190.
SPLC-2009-MendoncaWC #analysis #feature model #modelling #satisfiability: SAT-based analysis of feature models is easy (MM, AW, KC), pp. 231–240.
SPLC-2009-TunBCHH #approach #feature model #requirements: Relating requirements and feature configurations: a systematic approach (TTT, QB, AC, AH, PH), pp. 201–210.
SPLC-2009-WestonCR #composition #feature model #framework #modelling #natural language #requirements #semantics: A framework for constructing semantically composable feature models from natural language requirements (NW, RC, AR), pp. 211–220.
SPLC-2009-WhiteDSB #automation #feature model #multi #problem #reasoning: Automated reasoning for multi-step feature model configuration problems (JW, BD, DCS, DB), pp. 11–20.
CC-2009-KnightsMSMD #hardware #optimisation: Blind Optimization for Exploiting Hardware Features (DK, TM, PFS, MCM, AD), pp. 251–265.
CGO-2009-LeatherBO #automation #compilation #generative #machine learning #optimisation: Automatic Feature Generation for Machine Learning Based Optimizing Compilation (HL, EVB, MFPO), pp. 81–91.
HPDC-2009-LiSDZ #parallel #performance #predict: Performance prediction based on hierarchy parallel features captured in multi-processing system (JL, FS, ND, QZ), pp. 63–64.
ECSA-2008-DamaseviciusST #component #design #diagrams #feature model #generative #metaprogramming #ontology #using: Domain Ontology-Based Generative Component Design Using Feature Diagrams and Meta-programming Techniques (RD, VS, JT), pp. 338–341.
ASE-2008-Dominguez #detection #feature model #interactive: Feature Interaction Detection in the Automotive Domain (ALJD), pp. 521–524.
ASE-2008-GeW #feature model #framework #generative #modelling #named: Rhizome: A Feature Modeling and Generation Platform (GG, EJWJ), pp. 375–378.
CASE-2008-SunWHRW #case study #effectiveness #identification #monitoring #set: Identification of feature set for effective tool condition monitoring — a case study in titanium machining (JS, YSW, GSH, MR, ZW), pp. 273–278.
DATE-2008-MucciVMGDGKSCC #adaptation #array #configuration management #implementation #parallel #pipes and filters: Implementation of Parallel LFSR-based Applications on an Adaptive DSP featuring a Pipelined Configurable Gate Array (CM, LV, IM, DG, AD, SG, JK, AS, LC, FC), pp. 1444–1449.
DRR-2008-HottaF #recognition #synthesis: Line-touching character recognition based on dynamic reference feature synthesis (YH, KF), p. 68150.
HT-2008-BatemanGN #in the cloud #visual notation: Seeing things in the clouds: the effect of visual features on tag cloud selections (SB, CG, MAN), pp. 193–202.
FASE-2008-ClassenHS #perspective #requirements #what: What’s in a Feature: A Requirements Engineering Perspective (AC, PH, PYS), pp. 16–30.
FASE-2008-JanotaB #approach #architecture #formal method #modelling: Formal Approach to Integrating Feature and Architecture Models (MJ, GB), pp. 31–45.
CSMR-2008-AldekoaTMD #maintenance #product line: Quantifying Maintainability in Feature Oriented Product Lines (GA, ST, GSM, OD), pp. 243–247.
ICPC-2008-BohnetVD #comprehension #execution: Locating and Understanding Features of Complex Software Systems by Synchronizing Time-, Collaboration- and Code-Focused Views on Execution Traces (JB, SV, JD), pp. 268–271.
ICPC-2008-RohatgiHR #approach #dynamic analysis: An Approach for Mapping Features to Code Based on Static and Dynamic Analysis (AR, AHL, JR), pp. 236–241.
ICSM-2008-KothariBMS #algebra #development #on the #performance #using: On evaluating the efficiency of software feature development using algebraic manifolds (JK, DB, SM, AS), pp. 7–16.
WCRE-2008-Ebraert #feature model #programming: First-Class Change Objects for Feature-Oriented Programming (PE), pp. 319–322.
WCRE-2008-SobreiraM #analysis #comprehension #visual notation: A Visual Trace Analysis Tool for Understanding Feature Scattering (VS, MdAM), pp. 337–338.
SOFTVIS-2008-SensalireOT #maintenance #tool support #visualisation: Classifying desirable features of software visualization tools for corrective maintenance (MS, PO, ACT), pp. 87–90.
AdaEurope-2008-Brosgol #ada #comparison #java #object-oriented: A Comparison of the Object-Oriented Features of Ada 2005 and JavaTM (BMB), pp. 115–129.
ICEIS-AIDSS-2008-AccianiFMM #classification #feature model #search-based #statistics: Genetic Feature Selection and Statistical Classification of Voids in Concrete Structure (GA, GF, DM, DM), pp. 231–234.
CIKM-2008-ArnoldC #adaptation: Intra-document structural frequency features for semi-supervised domain adaptation (AA, WWC), pp. 1291–1300.
CIKM-2008-FeiH #classification #feature model #graph: Structure feature selection for graph classification (HF, JH), pp. 991–1000.
CIKM-2008-Forman #classification #representation #scalability: BNS feature scaling: an improved representation over tf-idf for svm text classification (GF), pp. 263–270.
CIKM-2008-FormanK #classification #feature model #performance: Extremely fast text feature extraction for classification and indexing (GF, EK), pp. 1221–1230.
CIKM-2008-LiuLNBMG #dataset #feature model #performance #preprocessor #realtime #scalability: Real-time data pre-processing technique for efficient feature extraction in large scale datasets (YL, LVL, RSN, KB, PM, CLG), pp. 981–990.
CIKM-2008-MiaoLD #integration #mining: An integration strategy for mining product features and opinions (QM, QL, RD), pp. 1369–1370.
CIKM-2008-PickensG #ad hoc #modelling #retrieval: Ranked feature fusion models for ad hoc retrieval (JP, GG), pp. 893–900.
CIKM-2008-ZhuSRH #documentation #modelling: Modeling document features for expert finding (JZ, DS, SMR, XH), pp. 1421–1422.
ICML-2008-DekelS #learning: Learning to classify with missing and corrupted features (OD, OS), pp. 216–223.
ICML-2008-LiangDK #compilation: Structure compilation: trading structure for features (PL, HDI, DK), pp. 592–599.
ICML-2008-ParrLTPL #analysis #approximate #feature model #learning #linear #modelling: An analysis of linear models, linear value-function approximation, and feature selection for reinforcement learning (RP, LL, GT, CPW, MLL), pp. 752–759.
ICML-2008-RaykarKBDR #automation #feature model #induction #learning #multi: Bayesian multiple instance learning: automatic feature selection and inductive transfer (VCR, BK, JB, MD, RBR), pp. 808–815.
ICML-2008-SeldinT #category theory #classification #clustering #multi: Multi-classification by categorical features via clustering (YS, NT), pp. 920–927.
ICML-2008-VincentLBM #robust: Extracting and composing robust features with denoising autoencoders (PV, HL, YB, PAM), pp. 1096–1103.
ICML-2008-WangYQZ #analysis #component #composition #feature model: Dirichlet component analysis: feature extraction for compositional data (HYW, QY, HQ, HZ), pp. 1128–1135.
ICPR-2008-BarratT #effectiveness #image #network #retrieval #semantics #using #visual notation: Visual features with semantic combination using Bayesian network for a more effective image retrieval (SB, ST), pp. 1–4.
ICPR-2008-BazinKDV #image #using: Improvement of feature matching in catadioptric images using gyroscope data (JCB, IK, CD, PV), pp. 1–5.
ICPR-2008-ChangFLI #clustering #detection #kernel #multi: Clustered Microcalcification detection based on a Multiple Kernel Support Vector Machine with Grouped Features (GF-SVM) (TTC, JF, HWL, HHSI), pp. 1–4.
ICPR-2008-ChenSSL #image #recognition: Representative feature chain for single gallery image face recognition (SC, CS, SS, BCL), pp. 1–4.
ICPR-2008-ChenWWM #detection #generative: GA based feature generation for training cascade object detector (QC, HW, TW, KM), pp. 1–4.
ICPR-2008-ChouaibTTCV #algorithm #classification #feature model #search-based: Feature selection combining genetic algorithm and Adaboost classifiers (HC, ORT, ST, FC, NV), pp. 1–4.
ICPR-2008-EngelC #invariant: Scale-invariant medial features based on gradient vector flow fields (DE, CC), pp. 1–4.
ICPR-2008-FakihZ: Structure from Motion: Combining features correspondences and optical flow (AHF, JSZ), pp. 1–4.
ICPR-2008-FuSHLT #image #kernel #learning #multi #set: Multiple kernel learning from sets of partially matching image features (SYF, GS, ZGH, ZzL, MT), pp. 1–4.
ICPR-2008-GehrigS #recognition: Selecting relevant features for human motion recognition (DG, TS), pp. 1–4.
ICPR-2008-GurS #detection #invariant: Non-Abelian invariant feature detection (YG, NAS), pp. 1–4.
ICPR-2008-HajOGV #automation #robust: Automatic face and facial features initialization for robust and accurate tracking (MAH, JO, JG, JV), pp. 1–4.
ICPR-2008-HanYJ #evaluation #online #using: Online feature evaluation for object tracking using Kalman Filter (ZH, QY, JJ), pp. 1–4.
ICPR-2008-HeiseleR #recognition: Local shape features for object recognition (BH, CR), pp. 1–4.
ICPR-2008-HidakaK #feature model #optimisation #using: Non-Neighboring Rectangular Feature selection using Particle Swarm Optimization (AH, TK), pp. 1–4.
ICPR-2008-KatayamaUS #coordination #online #recognition #using: A new HMM for on-line character recognition using pen-direction and pen-coordinate features (YK, SU, HS), pp. 1–4.
ICPR-2008-KazuiMMF #detection #matrix #using: Incoherent motion detection using a time-series Gram matrix feature (MK, MM, SM, HF), pp. 1–5.
ICPR-2008-Kong #evaluation #recognition: An evaluation of Gabor orientation as a feature for face recognition (AK), pp. 1–4.
ICPR-2008-KrizekKH #algorithm #feature model: Feature condensing algorithm for feature selection (PK, JK, VH), pp. 1–4.
ICPR-2008-LangerK #approach #detection #image #realtime #robust: A new hierarchical approach in robust real-time image feature detection and matching (ML, KDK), pp. 1–4.
ICPR-2008-LiCSCG #image: Hallucinating facial images and features (BL, HC, SS, XC, WG), pp. 1–4.
ICPR-2008-LiDM #feature model #learning #locality #using: Localized feature selection for Gaussian mixtures using variational learning (YL, MD, YM), pp. 1–4.
ICPR-2008-LillholmG #image #novel #recognition: Novel image feature alphabets for object recognition (ML, LDG), pp. 1–4.
ICPR-2008-LiLS #feature model #invariant #recognition: Redundant DWT based translation invariant wavelet feature extraction for face recognition (DL, HL, ZS), pp. 1–4.
ICPR-2008-LiuS08a #detection #robust #using: Robust outdoor text detection using text intensity and shape features (ZL, SS), pp. 1–4.
ICPR-2008-Lopez-Garcia #recognition: SIFT features for object recognition and tracking within the IVSEE system (FLG), pp. 1–4.
ICPR-2008-LuWC: Gaze tracking by Binocular Vision and LBP features (HL, CW, YWC), pp. 1–4.
ICPR-2008-MakiHM #image #using: Tracking features on a moving object using local image bases (AM, YH, TM), pp. 1–5.
ICPR-2008-MaWHJG #effectiveness: Effective scene matching with local feature representatives (SM, WW, QH, SJ, WG), pp. 1–4.
ICPR-2008-MengLMW #detection: Directional entropy feature for human detection (LM, LL, SM, WW), pp. 1–4.
ICPR-2008-MissaouiF: Optimal feature weighting for the discrete HMM (OM, HF), pp. 1–4.
ICPR-2008-MissaouiF08a: Optimal feature weighting for the continuous HMM (OM, HF), pp. 1–4.
ICPR-2008-OnishiTA #3d #estimation #image #using: 3D human posture estimation using the HOG features from monocular image (KO, TT, YA), pp. 1–4.
ICPR-2008-ParamanandR #geometry #higher-order #performance: Efficient geometric matching with higher-order features (CP, ANR), pp. 1–4.
ICPR-2008-ParkPBB #invariant #named: pi-SIFT: A photometric and Scale Invariant Feature Transform (JHP, KWP, SHB, MB), pp. 1–4.
ICPR-2008-RabinDG08a #comparison #distance: Circular Earth Mover’s Distance for the comparison of local features (JR, JD, YG), pp. 1–4.
ICPR-2008-ScalzoBNLT #classification #gender: Feature Fusion Hierarchies for gender classification (FS, GB, MN, LAL, AT), pp. 1–4.
ICPR-2008-SharmaCS #classification #kernel: Bag-of-features kernel eigen spaces for classification (GS, SC, JBS), pp. 1–4.
ICPR-2008-ShenCH #image #retrieval #using: Face image retrieval by using Haar features (BCS, CSC, HHH), pp. 1–4.
ICPR-2008-ShivakumaraHT #detection #performance #using #video: Efficient video text detection using edge features (PS, WH, CLT), pp. 1–4.
ICPR-2008-SpringerK #feature model: Feature selection via decision tree surrogate splits (CS, WPK), pp. 1–5.
ICPR-2008-SuZHL: Segmentation-free recognizer based on enhanced four plane feature for realistic Chinese handwriting (THS, TZ, HJH, CLL), pp. 1–4.
ICPR-2008-TaketomiSY #database #estimation #realtime #using: Real-time camera position and posture estimation using a feature landmark database with priorities (TT, TS, NY), pp. 1–4.
ICPR-2008-TeynorB08a #semantics #visual notation: Semantic grouping of visual features (AT, HB), pp. 1–4.
ICPR-2008-TsaiWY #named: CDIKP: A highly-compact local feature descriptor (YTT, QW, SY), pp. 1–4.
ICPR-2008-TsolakisFD #framework #performance #using: A framework for efficient correspondence using feature interrelations (AGT, MF, AD), pp. 1–4.
ICPR-2008-TsuchiyaF #feature model #using: A method of feature selection using contribution ratio based on boosting (MT, HF), pp. 1–4.
ICPR-2008-UedaT #locality #on the #scalability #using: On the scalability of robot localization using high-dimensional features (TU, KT), pp. 1–4.
ICPR-2008-Vega-PonsRV #algorithm #segmentation #set #using: Active contour algorithm for texture segmentation using a texture feature set (SVP, JLGR, OLV), pp. 1–4.
ICPR-2008-WangWFZ #adaptation #on the: On edge structure based adaptive observation model for facial feature tracking (XW, YW, XF, MZ), pp. 1–4.
ICPR-2008-WangWW: Harris feature vector descriptor (HFVD) (XW, FCW, ZW), pp. 1–4.
ICPR-2008-WangY #feature model #image #realtime: Feature selection for real-time image matching systems (QW, SY), pp. 1–4.
ICPR-2008-WuJP #detection #effectiveness #linear: Effective features based on normal linear structures for detecting microcalcifications in mammograms (ZQW, JJ, YP), pp. 1–4.
ICPR-2008-WuWZ: A cryptosystem based on palmprint feature (XW, KW, DZ), pp. 1–4.
ICPR-2008-XiaRH #invariant #ranking #robust #visual notation: Ranking the local invariant features for the robust visual saliencies (SX, PR, ERH), pp. 1–4.
ICPR-2008-XuZW #detection #feature model #semantics: Semantic feature extraction for accurate eye corner detection (CX, YZ, ZW), pp. 1–4.
ICPR-2008-YamashitaFLK #online: Human tracking based on Soft Decision Feature and online real boosting (TY, HF, SL, MK), pp. 1–4.
ICPR-2008-YangB08a #feature model #recognition #sketching: Feature extraction method based on cascade noise elimination for sketch recognition (JY, HB), pp. 1–4.
ICPR-2008-YangWRY #feature model: Feature Extraction base on Local Maximum Margin Criterion (WY, JW, MR, JY), pp. 1–4.
ICPR-2008-ZhangLHT #automation #classification: Boosting local feature descriptors for automatic objects classification in traffic scene surveillance (ZZ, ML, KH, TT), pp. 1–4.
KDD-2008-BoutsidisMD #analysis #component #feature model: Unsupervised feature selection for principal components analysis (CB, MWM, PD), pp. 61–69.
KDD-2008-ChenW #classification #feature model #metric #named #performance #problem: FAST: a roc-based feature selection metric for small samples and imbalanced data classification problems (XwC, MW), pp. 124–132.
KDD-2008-MadaniH #learning #on the: On updates that constrain the features’ connections during learning (OM, JH), pp. 515–523.
KDD-2008-YuDL #feature model: Stable feature selection via dense feature groups (LY, CHQD, SL), pp. 803–811.
SEKE-2008-FernandesWM #feature model #modelling #product line: Feature Modeling for Context-Aware Software Product Lines (PF, CW, LGPM), pp. 758–763.
SEKE-2008-SilvaAAMC #approach: Tailoring an Aspectual Goal-oriented Approach to Model Features (CTLLS, FMRA, JA, AMDM, JBdC), pp. 472–477.
SIGIR-2008-DruckMM #learning #using: Learning from labeled features using generalized expectation criteria (GD, GSM, AM), pp. 595–602.
SIGIR-2008-NaKKL #information retrieval #proximity: Exploiting proximity feature in bigram language model for information retrieval (SHN, JK, ISK, JHL), pp. 821–822.
SIGIR-2008-PengMO #automation #documentation #feature model #retrieval #web: Automatic document prior feature selection for web retrieval (JP, CM, IO), pp. 761–762.
GPCE-2008-ApelKL #calculus #feature model #java #programming #refinement: Feature featherweight java: a calculus for feature-oriented programming and stepwise refinement (SA, CK, CL), pp. 101–112.
GPCE-2008-KimKB #composition #feature model #interactive #on the: On the modularity of feature interactions (CHPK, CK, DSB), pp. 23–34.
GPCE-2008-MendoncaWCC #compilation #feature model #modelling #performance #scalability: Efficient compilation techniques for large scale feature models (MM, AW, KC, DDC), pp. 13–22.
REFSQ-2008-WebersTS #approach #feature model #modelling #requirements: Connecting Feature Models and AUTOSAR: An Approach Supporting Requirements Engineering in Automotive Industries (WW, CT, KS), pp. 95–108.
SAC-2008-BragaOM #estimation #feature model #optimisation #parametricity: A GA-based feature selection and parameters optimization for support vector regression applied to software effort estimation (PLB, ALIO, SRLM), pp. 1788–1792.
SAC-2008-BugattiTT #integration #query #similarity: Assessing the best integration between distance-function and image-feature to answer similarity queries (PHB, AJMT, CTJ), pp. 1225–1230.
SAC-2008-ChengHVL #image #reduction: Semi-supervised dimensionality reduction in image feature space (HC, KAH, KV, DL), pp. 1207–1211.
SAC-2008-FariaM #recognition #scalability #speech: When a mismatch can be good: large vocabulary speech recognition trained with idealized tandem features (AF, NM), pp. 1574–1577.
SAC-2008-LiG #detection #network #optimisation #using: TCM-KNN scheme for network anomaly detection using feature-based optimizations (YL, LG), pp. 2103–2109.
SAC-2008-MengleG #algorithm #ambiguity #classification #feature model #using: Using ambiguity measure feature selection algorithm for support vector machine classifier (SSRM, NG), pp. 916–920.
SAC-2008-RibeiroTT #algorithm #feature model: A new algorithm for data discretization and feature selection (MXR, AJMT, CTJ), pp. 953–954.
SAC-2008-SchreckFK #automation #multi #optimisation #towards: Towards automatic feature vector optimization for multimedia applications (TS, DWF, DAK), pp. 1197–1201.
SAC-2008-ShaoYN #classification: Strangeness-based feature weighting and classification of gene expression profiles (HS, BY, JHN), pp. 1292–1296.
SAC-2008-TakanoC #documentation #feature model #feedback: A light-weight feedback method for reconstructing a document vector space on a feature extraction model (KT, XC), pp. 1169–1170.
SAC-2008-TanWC #categorisation #performance #ranking: An efficient feature ranking measure for text categorization (ST, YW, XC), pp. 407–413.
SAC-2008-YuLLM #configuration management: Configuring features with stakeholder goals (YY, JCSdPL, AL, JM), pp. 645–649.
SAC-2008-ZhangMD #feature model #fuzzy #image #retrieval #set #using: Texture feature extraction and description using fuzzy set of main dominant directions of variable scales in content-based medical image retrieval (GZ, ZMM, LD), pp. 1760–1761.
ATEM-J-2006-HeymansSTBMC #diagrams #feature model: Evaluating formal properties of feature diagram languages (PH, PYS, JCT, YB, RM, AC), pp. 281–302.
SPLC-2008-ChoLK #approach #aspect-oriented #dependence: Feature Relation and Dependency Management: An Aspect-Oriented Approach (HC, KL, KCK), pp. 3–11.
SPLC-2008-CzarneckiSW #feature model #modelling: Sample Spaces and Feature Models: There and Back Again (KC, SS, AW), pp. 22–31.
SPLC-2008-HartmannT #diagrams #feature model #multi #product line #using #variability: Using Feature Diagrams with Context Variability to Model Multiple Product Lines for Software Supply Chains (HH, TT), pp. 12–21.
SPLC-2008-WhiteSBTC #automation #fault #feature model #modelling #product line: Automated Diagnosis of Product-Line Configuration Errors in Feature Models (JW, DCS, DB, PT, ARC), pp. 225–234.
CAV-2008-DSouzaG: Conflict-Tolerant Features (DD, MG), pp. 227–239.
ICLP-2008-CodishLS #constraints #partial order #problem: Telecommunications Feature Subscription as a Partial Order Constraint Problem (MC, VL, PJS), pp. 749–753.
ECSA-2007-LoulouKJD #architecture #design: Formal Design of Structural and Dynamic Features of Publish/Subscribe Architectural Styles (IL, AHK, MJ, KD), pp. 44–59.
ASE-2007-Gawley #automation #feature model #identification #modelling #variability: Automating the identification of variability realisation techniques from feature models (RG), pp. 555–558.
ASE-2007-LiuMPR #execution #feature model #information retrieval: Feature location via information retrieval based filtering of a single scenario execution trace (DL, AM, DP, VR), pp. 234–243.
ASE-2007-ShiriHR #analysis #feature model #interactive #maintenance #perspective: Feature interaction analysis: a maintenance perspective (MS, JH, JR), pp. 437–440.
CASE-2007-00010DAR #behaviour #feature model #realtime: A Micropositioning System with Real-Time Feature Extraction Capability for Quantifying C. elegans Locomotive Behavior (WW, YS, SJD, MA, PJR), pp. 243–248.
CASE-2007-GarciaV #automation #configuration management #feature model #visual notation: Automated Feature Selection Methodology for Reconfigurable Automated Visual Inspection Systems (HCG, JRV), pp. 542–547.
CASE-2007-YangM #approach #automation #feature model #interactive #matrix #verification: Automatic Feasibility Verification of Object Configurations: A New Approach Based on Feature Interaction Matrices (FY, MMM), pp. 686–691.
CASE-2007-ZhangBGL #feature model #hybrid #monitoring: A Hybrid Model with a Weighted Voting Scheme for Feature Selection in Machinery Condition Monitoring (KZ, ADB, FG, YL), pp. 424–429.
DAC-2007-KumarMCTH #approach #estimation #multi #performance #probability: A Probabilistic Approach to Model Resource Contention for Performance Estimation of Multi-featured Media Devices (AK, BM, HC, BDT, YH), pp. 726–731.
DATE-2007-KokkelerSKK #detection: Cyclostationary feature detection on a tiled-SoC (ABJK, GJMS, TK, JK), pp. 171–176.
DRR-2007-JoutelEBE #classification #feature model: Curvelets based feature extraction of handwritten shapes for ancient manuscripts classification (GJ, VE, SB, HE).
HT-2007-LeveringCY #classification #html #visual notation: Visual features in genre classification of html (RL, MC, LY), pp. 51–52.
HT-2007-SteinH #case study #matter #wiki: Does it matter who contributes: a study on featured articles in the german wikipedia (KS, CH), pp. 171–174.
ICDAR-2007-AbedM #comparison #feature model #preprocessor #recognition: Comparison of Different Preprocessing and Feature Extraction Methods for Offline Recognition of Handwritten ArabicWords (HEA, VM), pp. 974–978.
ICDAR-2007-AmorA #approach #multi: An Approach for Multifont Arabic Characters Features Extraction Based on Contourlet Transform (NBA, NEBA), pp. 1048–1052.
ICDAR-2007-BhardwajSSS #on the #verification: On the Use of Lexeme Features for Writer Verification (AB, AS, HS, SNS), pp. 1088–1092.
ICDAR-2007-BhattacharyaGP #online #recognition: Direction Code Based Features for Recognition of Online Handwritten Characters of Bangla (UB, BKG, SKP), pp. 58–62.
ICDAR-2007-ChouGC #classification #multi #recognition #using: Recognition of Fragmented Characters Using Multiple Feature-Subset Classifiers (CHC, CYG, FC), pp. 198–202.
ICDAR-2007-HuangSHFN #approach #difference #recognition #using: An SVM-Based High-accurate Recognition Approach for Handwritten Numerals by Using Difference Features (KH, JS, YH, KF, SN), pp. 589–593.
ICDAR-2007-ImdadBERE #identification #using: Writer Identification Using Steered Hermite Features and SVM (AI, SB, VE, CRM, HE), pp. 839–843.
ICDAR-2007-MengZSZ #documentation #image #multi #retrieval: Document Images Retrieval Based on Multiple Features Combination (GM, NZ, YS, YZ), pp. 143–147.
ICDAR-2007-MS #encoding #online #recognition: A Feature based on Encoding the Relative Position of a Point in the Character for Online Handwritten Character Recognition (DM, MKS), pp. 1014–1017.
ICDAR-2007-NguyenBML #classification #using #verification: Off-line Signature Verification Using Enhanced Modified Direction Features in Conjunction with Neural Classifiers and Support Vector Machines (VN, MB, VM, GL), pp. 734–738.
ICDAR-2007-PrasanthBSRM #online #using: Elastic Matching of Online Handwritten Tamil and Telugu Scripts Using Local Features (LP, VB, RS, GVR, DM), pp. 1028–1032.
ICDAR-2007-RanzatoL #documentation #image #invariant: A Sparse and Locally Shift Invariant Feature Extractor Applied to Document Images (MR, YL), pp. 1213–1217.
ICDAR-2007-SchlapbachB #identification #online: Fusing Asynchronous Feature Streams for On-line Writer Identification (AS, HB), pp. 103–107.
ICDAR-2007-ShimanukiKW #design: Extracting Features of Paper-made Objects Recognized from Origami Books Based on Design Knowledge (HS, JK, TW), pp. 1203–1207.
ICDAR-2007-TanakaG #using: Autonomous Text Capturing Robot Using Improved DCT Feature and Text Tracking (MT, HG), pp. 1178–1182.
ICDAR-2007-VamvakasGPS #feature model #performance #recognition #reduction: An Efficient Feature Extraction and Dimensionality Reduction Scheme for Isolated Greek Handwritten Character Recognition (GV, BG, SP, NS), pp. 1073–1077.
ICDAR-2007-XiCLWSJ07a #clustering #segmentation: Character Line Segmentation Based on Feature Clustering (YX, YC, QL, LW, FS, DJ), pp. 402–406.
ICDAR-2007-ZiaratbanFF #feature model #recognition #using: Language-Based Feature Extraction Using Template-Matching In Farsi/Arabic Handwritten Numeral Recognition (MZ, KF, FF), pp. 297–301.
CSMR-2007-GreevyGD #developer #how: How Developers Develop Features (OG, TG, SD), pp. 265–274.
CSMR-2007-KanstrenHK #case study #experience #legacy #testing: Integrating and Testing a System-Wide Feature in a Legacy System: An Experience Report (TK, MH, KK), pp. 203–212.
CSMR-2007-PengWZ #adaptation #component #evolution #feature model: A Feature-Oriented Adaptive Component Model for Dynamic Evolution (XP, YW, WZ), pp. 49–57.
ICPC-2007-KothariDSM #comprehension #convergence #evolution #implementation: Reducing Program Comprehension Effort in Evolving Software by Recognizing Feature Implementation Convergence (JK, TD, AS, SM), pp. 17–26.
ICPC-2007-LienhardGN #dependence #detection: Tracking Objects to Detect Feature Dependencies (AL, OG, ON), pp. 59–68.
ICSM-2007-FokaefsTC #identification #named #smell: JDeodorant: Identification and Removal of Feature Envy Bad Smells (MF, NT, AC), pp. 519–520.
ICSM-2007-WalkinshawRW #feature model #using: Feature Location and Extraction using Landmarks and Barriers (NW, MR, MW), pp. 54–63.
WCRE-2007-FarahL #comprehension #modelling: Temporal Exploration of Software Models: A Tool Feature to Enhance Software Understanding (HF, TCL), pp. 41–49.
SEFM-2007-ReevesS #refinement: Feature Refinement (SR, DS), pp. 371–380.
DHM-2007-LuoYZ #identification: A Method for Gene Identification by Dynamic Feature Choosing (JL, LY, XZ), pp. 678–683.
DHM-2007-XiangZ #retrieval: Motion Retrieval Based on Temporal-Spatial Features by Decision Tree (JX, HZ), pp. 224–233.
HCI-AS-2007-JiangSZF #design #feature model #interactive: An Interactive Evolutionary Design System with Feature Extraction (XJ, SS, TZ, SF), pp. 1085–1094.
HCI-MIE-2007-HuLYS #modelling: Modeling of Places Based on Feature Distribution (YH, CWL, JYY, BJS), pp. 1019–1027.
HCI-MIE-2007-JuSK #game studies #people #quote #using: “Shooting a Bird”: Game System Using Facial Feature for the Handicapped People (JJ, YS, EYK), pp. 642–648.
HCI-MIE-2007-TakashimaT #behaviour #low level #video: Sharing Video Browsing Style by Associating Browsing Behavior with Low-Level Features of Videos (AT, YT), pp. 518–526.
HIMI-IIE-2007-TaguchiAT #analysis: Information on the Causal Relationship Between Store kaizen and Store Features That Attract Customers by Covariance Structural Analysis (YT, YA, TT), pp. 973–982.
VISSOFT-2007-CosmaM #distributed #visualisation: Distributable Features View: Visualizing the Structural Characteristics of Distributed Software Systems (DCC, RM), pp. 55–62.
VISSOFT-2007-RothlisbergerGL: Feature-centric Environment (DR, OG, AL), pp. 150–151.
AdaEurope-2007-PanunzioV #analysis #metamodelling #modelling #process: A Metamodel-Driven Process Featuring Advanced Model-Based Timing Analysis (MP, TV), pp. 128–141.
CAiSE-2007-WeberRR #information management: Change Patterns and Change Support Features in Process-Aware Information Systems (BW, SR, MR), pp. 574–588.
ICEIS-AIDSS-2007-CuellarDP #algorithm #hybrid #network #problem: Problems and Features of Evolutionary Algorithms to Build Hybrid Training Methods for Recurrent Neural Networks (MPC, MD, MdCPJ), pp. 204–211.
CIKM-2007-HouleG #feature model: A correlation-based model for unsupervised feature selection (MEH, NG), pp. 897–900.
CIKM-2007-Metzler #automation #feature model #information retrieval #markov #random: Automatic feature selection in the markov random field model for information retrieval (DM), pp. 253–262.
ECIR-2007-MasegosaJJ #independence #predict: Evaluating Query-Independent Object Features for Relevancy Prediction (ARM, HJ, JMJ), pp. 283–294.
ECIR-2007-NeumayerR #classification #information retrieval #integration #music: Integration of Text and Audio Features for Genre Classification in Music Information Retrieval (RN, AR), pp. 724–727.
ECIR-2007-PanLZTC #retrieval #video: Retrieval Method for Video Content in Different Format Based on Spatiotemporal Features (XP, JL, YZ, ST, JC), pp. 728–731.
ECIR-2007-SzlavikTL #documentation #generative #xml: Feature- and Query-Based Table of Contents Generation for XML Documents (ZS, AT, ML), pp. 456–467.
ICML-2007-AndoZ #generative #learning: Two-view feature generation model for semi-supervised learning (RKA, TZ), pp. 25–32.
ICML-2007-CaoSSYC #feature model #kernel: Feature selection in a kernel space (BC, DS, JTS, QY, ZC), pp. 121–128.
ICML-2007-ChenJ #classification #feature model #set: Minimum reference set based feature selection for small sample classifications (XwC, JCJ), pp. 153–160.
ICML-2007-DavisCRP #approach #predict #process: An integrated approach to feature invention and model construction for drug activity prediction (JD, VSC, SR, DP), pp. 217–224.
ICML-2007-LeeCVK #learning #multi: Learning a meta-level prior for feature relevance from multiple related tasks (SIL, VC, DV, DK), pp. 489–496.
ICML-2007-ParrPLL #approximate #generative: Analyzing feature generation for value-function approximation (RP, CPW, LL, MLL), pp. 737–744.
ICML-2007-SongSGBB #dependence #estimation #feature model: Supervised feature selection via dependence estimation (LS, AJS, AG, KMB, JB), pp. 823–830.
ICML-2007-ZhaoL #feature model #learning: Spectral feature selection for supervised and unsupervised learning (ZZ, HL), pp. 1151–1157.
KDD-2007-ArchakGI #exclamation #mining #power of: Show me the money!: deriving the pricing power of product features by mining consumer reviews (NA, AG, PGI), pp. 56–65.
KDD-2007-ChaovalitwongseFS #classification #process: Support feature machine for classification of abnormal brain activity (WAC, YJF, RCS), pp. 113–122.
KDD-2007-DasguptaDHJM #classification #feature model: Feature selection methods for text classification (AD, PD, BH, VJ, MWM), pp. 230–239.
KDD-2007-TangWXZ #clustering #perspective: Enhancing semi-supervised clustering: a feature projection perspective (WT, HX, SZ, JW), pp. 707–716.
MLDM-2007-CaoH #feature model: Affine Feature Extraction: A Generalization of the Fukunaga-Koontz Transformation (WC, RMH), pp. 160–173.
MLDM-2007-ChengCJY #feature model: Nonlinear Feature Selection by Relevance Feature Vector Machine (HC, HC, GJ, KY), pp. 144–159.
MLDM-2007-SilvaGF #identification: One Lead ECG Based Personal Identification with Feature Subspace Ensembles (HS, HG, ALNF), pp. 770–783.
MLDM-2007-ZagorisPK #algorithm #fuzzy #reduction #self #using: Color Reduction Using the Combination of the Kohonen Self-Organized Feature Map and the Gustafson-Kessel Fuzzy Algorithm (KZ, NP, IK), pp. 703–715.
SIGIR-2007-ClarkeADW #web: The influence of caption features on clickthrough patterns in web search (CLAC, EA, STD, RWW), pp. 135–142.
SIGIR-2007-CormackHS #mobile #re-engineering: Feature engineering for mobile (SMS) spam filtering (GVC, JMGH, EPS), pp. 871–872.
SIGIR-2007-FranzX #multi #segmentation #using: Story segmentation of broadcast news in Arabic, Chinese and English using multi-window features (MF, JMX), pp. 703–704.
SIGIR-2007-GengLQL #feature model #ranking: Feature selection for ranking (XG, TYL, TQ, HL), pp. 407–414.
SIGIR-2007-HeCL #detection: Analyzing feature trajectories for event detection (QH, KC, EPL), pp. 207–214.
SIGIR-2007-RaghavanA #algorithm #feedback #interactive: An interactive algorithm for asking and incorporating feature feedback into support vector machines (HR, JA), pp. 79–86.
MoDELS-2007-JayaramanWEG #analysis #composition #detection #feature model #interactive #product line #using: Model Composition in Product Lines and Feature Interaction Detection Using Critical Pair Analysis (PKJ, JW, AME, HG), pp. 151–165.
MoDELS-2007-JayaramanWEG #analysis #composition #detection #feature model #interactive #product line #using: Model Composition in Product Lines and Feature Interaction Detection Using Critical Pair Analysis (PKJ, JW, AME, HG), pp. 151–165.
TOOLS-EUROPE-2007-HundtMPS #feature model #product line: Improving Alignment of Crosscutting Features with Code in Product Line Engineering (CH, KM, CP, DS), pp. 417–436.
RE-2007-DorrHKLA #user satisfaction: Built-in User Satisfaction — Feature Appraisal and Prioritization with AMUSE (JD, SH, DK, DL, PA), pp. 101–110.
REFSQ-2007-Poppleton #development #feature model #specification #towards: Towards Feature-Oriented Specification and Development with Event-B (MP), pp. 367–381.
SAC-2007-QiT #array #feature model #ontology: Integrating gene ontology into discriminative powers of genes for feature selection in microarray data (JQ, JT), pp. 430–434.
SAC-2007-TsengSWL #image #visual notation #web: Web image annotation by fusing visual features and textual information (VST, JHS, BWW, YML), pp. 1056–1060.
SAC-2007-UbayashiN #feature model #modelling: Context-aware feature-oriented modeling with an aspect extension of VDM (NU, SN), pp. 1269–1274.
GTTSE-2007-SeguraBCT #automation #feature model #graph transformation #modelling #using: Automated Merging of Feature Models Using Graph Transformations (SS, DB, ARC, PT), pp. 489–505.
ICSE-2007-KojarskiL #aspect-oriented #feature model #framework #identification #interactive #multi: Identifying Feature Interactions in Multi-Language Aspect-Oriented Frameworks (SK, DHL), pp. 147–157.
ICSE-2007-TrujilloBD #case study #development #modelling: Feature Oriented Model Driven Development: A Case Study for Portlets (ST, DSB, OD), pp. 44–53.
SPLC-2007-BragancaM #automation #case study #diagrams #feature model #modelling #product line: Automating Mappings between Use Case Diagrams and Feature Models for Software Product Lines (AB, RJM), pp. 3–12.
SPLC-2007-CzarneckiW #diagrams #feature model #logic: Feature Diagrams and Logics: There and Back Again (KC, AW), pp. 23–34.
SPLC-2007-JanotaK #feature model #higher-order #logic #modelling #reasoning: Reasoning about Feature Models in Higher-Order Logic (MJ, JRK), pp. 13–22.
SPLC-2007-KastnerAB #aspectj #case study #implementation #using: A Case Study Implementing Features Using AspectJ (CK, SA, DSB), pp. 223–232.
ASE-2006-Dhungana #architecture #modelling #product line #variability: Integrated Variability Modeling of Features and Architecture in Software Product Line Engineering (DD), pp. 327–330.
CASE-2006-YoungSB #implementation #interactive: Implementing Bubblegrams: The Use of Haar-Like Features for Human-Robot Interaction (JEY, ES, JEB), pp. 298–303.
DocEng-2006-Ruiz-RicoGR #automation #feature model #named #ranking: NEWPAR: an automatic feature selection and weighting schema for category ranking (FRR, JLVG, MCRS), pp. 128–137.
DRR-2006-KhanAC #automation: Address block features for image-based automated mail orientation (MSK, HBA, WTC).
DRR-2006-Sun #fuzzy: HCCR by contour-based elastic mesh fuzzy feature (LS).
DRR-2006-WangZXWG #feature model #image #recognition #robust: Robust feature extraction for character recognition based on binary images (LW, LZ, YX, ZW, HG).
SIGMOD-2006-ShenSN #database #multi #music #named: InMAF: indexing music databases via multiple acoustic features (JS, JS, AHHN), pp. 778–780.
VLDB-2006-0002OIA #documentation #named #xml: FIX: Feature-based Indexing Technique for XML Documents (NZ, MTÖ, IFI, AA), pp. 259–270.
ICPC-2006-PoshyvanykMRGA #identification #probability #ranking #semantics: Combining Probabilistic Ranking and Latent Semantic Indexing for Feature Identification (DP, AM, VR, YGG, GA), pp. 137–148.
ICSM-2006-JiangGSEW #comprehension #industrial: Software Feature Understanding in an Industrial Setting (MJ, MG, SS, DE, NW), pp. 66–67.
ICSM-2006-NgoT #fault #maintenance: A Method to Aid Recovery and Maintenance of the Input Error Correction Features (MNN, HBKT), pp. 360–369.
WCRE-2006-KothariDMS #canonical #on the: On Computing the Canonical Features of Software Systems (JK, TD, SM, AS), pp. 93–102.
FM-2006-AiguierBG #interactive #specification #static analysis: Feature Specification and Static Analysis for Interaction Resolution (MA, KB, PLG), pp. 364–379.
FM-2006-HofnerKM #algebra: Feature Algebra (PH, RK, BM), pp. 300–315.
CHI-2006-KramerOF #communication #using: Using linguistic features to measure presence in computer-mediated communication (ADIK, LMO, SRF), pp. 913–916.
SOFTVIS-2006-BohnetD #feature model #graph #visual notation: Visual exploration of function call graphs for feature location in complex software systems (JB, JD), pp. 95–104.
ICEIS-ISAS-2006-RoubtsovaR #requirements #reuse: A Feature Computation Tree Model to Specify Requirements and Reuse (EER, SAR), pp. 118–125.
CIKM-2006-AssfalgBK #3d #classification #kernel #named #string: 3DString: a feature string kernel for 3D object classification on voxelized data (JA, KMB, HPK), pp. 198–207.
CIKM-2006-LuPLA #feature model #identification #machine learning #query: Coupling feature selection and machine learning methods for navigational query identification (YL, FP, XL, NA), pp. 682–689.
CIKM-2006-OlssonO #classification: Combining feature selectors for text classification (JSO, DWO), pp. 798–799.
ECIR-2006-WilkinsFGS #automation #multi: Automatic Determination of Feature Weights for Multi-feature CBIR (PW, PF, CG, AFS), pp. 527–530.
ECIR-2006-ZhangDC #detection: Combining Short and Long Term Audio Features for TV Sports Highlight Detection (BZ, WD, LC), pp. 472–475.
ICML-2006-GlobersonR #learning #robust: Nightmare at test time: robust learning by feature deletion (AG, STR), pp. 353–360.
ICML-2006-GorurJR #infinity: A choice model with infinitely many latent features (DG, FJ, CER), pp. 361–368.
ICML-2006-RossOZ: Combining discriminative features to infer complex trajectories (DAR, SO, RSZ), pp. 761–768.
ICML-2006-ShengL #algorithm #testing: Feature value acquisition in testing: a sequential batch test algorithm (VSS, CXL), pp. 809–816.
ICML-2006-SinghiL #bias #classification #learning #set: Feature subset selection bias for classification learning (SKS, HL), pp. 849–856.
ICML-2006-SongE #human-computer #interface #learning: Classifying EEG for brain-computer interfaces: learning optimal filters for dynamical system features (LS, JE), pp. 857–864.
ICML-2006-SunL: Iterative RELIEF for feature weighting (YS, JL), pp. 913–920.
ICML-2006-VeeramachaneniOA #detection: Active sampling for detecting irrelevant features (SV, EO, PA), pp. 961–968.
ICPR-v1-2006-ArzhaevaGT #classification #detection #distance #image: Image Classification from Generalized Image Distance Features: Application to Detection of Interstitial Disease in Chest Radiographs (YA, BvG, DMJT), pp. 367–370.
ICPR-v1-2006-BabaMA #geometry #using: A Unified Camera Calibration Using Geometry and Blur of Feature Points (MB, MM, NA), pp. 816–819.
ICPR-v1-2006-BauckhageK #detection #multi #performance: Fast, Illumination Insensitive Face Detection Based on Multilinear Techniques and Curvature Features (CB, TK), pp. 507–510.
ICPR-v1-2006-ChengZS #detection: Boosted Gabor Features Applied to Vehicle Detection (HC, NZ, CS), pp. 662–666.
ICPR-v1-2006-ChowdhuryGWM #detection #feature model: Note on Feature Selection for Polyp Detection in CT Colonography (TAC, OG, PFW, AAM), pp. 1017–1021.
ICPR-v1-2006-FuCLR #classification #feature model #image: Boosted Band Ratio Feature Selection for Hyperspectral Image Classification (ZF, TC, NL, ARK), pp. 1059–1062.
ICPR-v1-2006-GaoWFZ #recognition #using: Face Recognition Using Most Discriminative Local and Global Features (YG, YW, XF, XZ), pp. 351–354.
ICPR-v1-2006-HanXG #clustering #segmentation #video: Video Foreground Segmentation Based on Sequential Feature Clustering (MH, WX, YG), pp. 492–496.
ICPR-v1-2006-LangsPDRB #feature model #modelling: Active Feature Models (GL, PP, RD, MR, HB), pp. 417–420.
ICPR-v1-2006-LiHWW #behaviour #image #modelling #recognition: Behavior Modeling and Recognition Based on Space-Time Image Features (HL, ZH, YW, FW), pp. 243–246.
ICPR-v1-2006-LoY #detection #multi: Shadow Detection by Integrating Multiple Features (KHL, MTY), pp. 743–746.
ICPR-v1-2006-MicheloniF: Focusing on Target’s Features while Tracking (CM, GLF), pp. 836–839.
ICPR-v1-2006-MoritaniHS #feature model #realtime: Real-Time Object Tracking without Feature Extraction (TM, SH, KS), pp. 747–750.
ICPR-v1-2006-NieseAM #estimation #feature model: A Stereo and Color-based Method for Face Pose Estimation and Facial Feature Extraction (RN, AAH, BM), pp. 299–302.
ICPR-v1-2006-SunSM #classification #simulation: The Role of Featural and Configural Information in Face Classification A Simulation of the Expertise Hypothesis (YS, NS, MM), pp. 1166–1170.
ICPR-v1-2006-TongJ #multi #probability: Multiview Facial Feature Tracking with a Multi-modal Probabilistic Model (YT, QJ), pp. 307–310.
ICPR-v1-2006-TongWZJ #multi #using: Facial Feature Tracking using a Multi-State Hierarchical Shape Model under Varying Face Pose and Facial Expression (YT, YW, ZZ, QJ), pp. 283–286.
ICPR-v1-2006-WeiB #data analysis #segmentation #statistics #using: Unsupervised Segmentation Using Gabor Wavelets and Statistical Features in LIDAR Data Analysis (HW, MB), pp. 667–670.
ICPR-v1-2006-WuNC #feature model #locality: Biologically Inspired Hierarchical Model for Feature Extraction and Localization (LW, PN, LNC), pp. 259–262.
ICPR-v1-2006-XuS #robust: A Robust and Accurate Method for Pupil Features Extra (ZX, PS), pp. 437–440.
ICPR-v1-2006-YangZJY #analysis #feature model: Unsupervised Discriminant Projection Analysis for Feature Extraction (JY, DZ, ZJ, JYY), pp. 904–907.
ICPR-v1-2006-ZhuJ #detection #invariant #realtime #robust: Robust Pose Invariant Facial Feature Detection and Tracking in Real-Time (ZZ, QJ), pp. 1092–1095.
ICPR-v2-2006-ArivazhaganGK #classification #statistics #using: Texture classification using Curvelet Statistical and Co-occurrence Features (SA, LG, TGSK), pp. 938–941.
ICPR-v2-2006-BertolamiB #classification #integration #multi #recognition: Early feature stream integration versus decision level combination in a multiple classifier system for text line recognition (RB, HB), pp. 845–848.
ICPR-v2-2006-ChenCC #comparison: A Comparison of Texture Features Based on SVM and SOM (CMC, CCC, CCC), pp. 630–633.
ICPR-v2-2006-ChenW #analysis #component #independence #segmentation #using: Texture Segmentation Using Independent Component Analysis of Gabor Features (YC, RW), pp. 147–150.
ICPR-v2-2006-ChenY #modelling #using #video: Exploiting High Dimensional Video Features Using Layered Gaussian Mixture Models (DC, JY), pp. 1078–1081.
ICPR-v2-2006-ChoiLY #classification #feature model #using: Feature Extraction for Bank Note Classification Using Wavelet Transform (EC, JL, JY), pp. 934–937.
ICPR-v2-2006-FloreaBRB #image #representation #using: Using texture-based symbolic features for medical image representation (FF, EB, AR, AB), pp. 946–949.
ICPR-v2-2006-FrintropJC: Pay Attention When Selecting Features (SF, PJ, HIC), pp. 163–166.
ICPR-v2-2006-FuLHB #image #retrieval #using: Content-based Image Retrieval Using Gabor-Zernike Features (XF, YL, RWH, SB), pp. 417–420.
ICPR-v2-2006-GanD #relational #using: Differentiating Between Many Similar Features using Relational Information in Space and Scale (TSYG, TD), pp. 638–641.
ICPR-v2-2006-GuptaD #detection #multi #using: Texture Edge Detection using Multi-resolution Features and SOM (LG, SD), pp. 199–202.
ICPR-v2-2006-HuangCX #feature model: A Wrapper for Feature Selection Based on Mutual Information (JH, YC, XX), pp. 618–621.
ICPR-v2-2006-InoueNK #analysis #feature model #kernel #recognition #string #using: Historical Hand-Written String Recognition by Non-linear Discriminant Analysis using Kernel Feature Selection (RI, HN, NK), pp. 1094–1097.
ICPR-v2-2006-KanaujiaM: Recognizing Facial Expressions by Tracking Feature Shapes (AK, DNM), pp. 33–38.
ICPR-v2-2006-KhanKKA #dependence #online #verification: On-Line Signature Verification by Exploiting Inter-Feature Dependencies (MKK, MAK, MAUK, IA), pp. 796–799.
ICPR-v2-2006-KimYK #robust: Background Robust Object Labeling by Voting of Weight-Aggregated Local Features (SK, KJY, ISK), pp. 219–222.
ICPR-v2-2006-KrizekKH #feature model #set: Feature selection based on the training set manipulation (PK, JK, VH), pp. 658–661.
ICPR-v2-2006-LettnerS #recognition: Texture and Profile Features for Drawing Media Recognition in Underdrawings (ML, RS), pp. 308–311.
ICPR-v2-2006-LiangZ #feature model #linear: Feature selection for linear support vector machines (ZL, TZ), pp. 606–609.
ICPR-v2-2006-LiLG #multi: Multi-Resolution Curve Alignment Based on Salient Features (ZL, XL, CG), pp. 357–360.
ICPR-v2-2006-LiLL #framework #geometry #multi #using: A Geometric Active Contour Framework using Multi-Cue and Local Feature (ZL, QL, HL), pp. 113–116.
ICPR-v2-2006-LiLW #feature model #hybrid #ranking: A Hybrid Method of Unsupervised Feature Selection Based on Ranking (YL, BLL, ZFW), pp. 687–690.
ICPR-v2-2006-Liu #classification #feature model #polynomial #recognition #using: High Accuracy Handwritten Chinese Character Recognition Using Quadratic Classifiers with Discriminative Feature Extraction (CLL), pp. 942–945.
ICPR-v2-2006-LiuSXR #complexity #feature model #image: Image Complexity and Feature Extraction for Steganalysis of LSB Matching Steganography (QL, AHS, JX, BR), pp. 267–270.
ICPR-v2-2006-MahiniKDD #locality #performance: An Efficient Features — Based License Plate Localization Method (HM, SK, FD, FD), pp. 841–844.
ICPR-v2-2006-MunguiaGS #image: Matching Images Features in a Wide Base Line with ICA Descriptors (RM, AG, AS), pp. 159–162.
ICPR-v2-2006-RaoGSK #image: A Heterogeneous Feature-based Image Alignment Method (CR, YG, HSS, RK), pp. 345–350.
ICPR-v2-2006-RinnhoferBJS #alloy #feature model: Feature Extraction from Micrographs of Forged Nickel Based Alloy (AR, WB, GJ, MS), pp. 391–394.
ICPR-v2-2006-SaraM #invariant #named #recognition #towards: FAIR: Towards A New Feature for Affinely-Invariant Recognition (RS, MM), pp. 412–416.
ICPR-v2-2006-Sarkar #classification #image #visual notation: Image classification: Classifying distributions of visual features (PS), pp. 472–475.
ICPR-v2-2006-ShiratoriGK #performance #using: An Efficient Text Capture Method for Moving Robots Using DCT Feature and Text Tracking (HS, HG, HK), pp. 1050–1053.
ICPR-v2-2006-SomolP #algorithm #feature model #keyword #multi #prototype #using: Multi-Subset Selection for Keyword Extraction and Other Prototype Search Tasks Using Feature Selection Algorithms (PS, PP), pp. 736–739.
ICPR-v2-2006-SunV #detection #linear #multi #performance #using: Fast Linear Feature Detection Using Multiple Directional Non-Maximum Suppression (CS, PV), pp. 288–291.
ICPR-v2-2006-TongWMI #3d #optimisation #representation: Evolutionary Optimization of Feature Representation for 3D Point-based (XT, HSW, BM, HHSI), pp. 707–710.
ICPR-v2-2006-TsuchiyaF #classification #visual notation: Evaluating Feature Importance for Object Classification in Visual Surveillance (MT, HF), pp. 978–981.
ICPR-v2-2006-YangL #analysis #automation #component: Automatic Physiognomic Analysis by Classifying Facial Component Feature (HDY, SWL), pp. 1212–1215.
ICPR-v2-2006-YaslanC #classification #feature model #music #using: Audio Music Genre Classification Using Different Classifiers and Feature Selection Methods (YY, ZÇ), pp. 573–576.
ICPR-v2-2006-YuW06a #algorithm: Genetic-based K-means algorithm for selection of feature variables (ZY, HSW), pp. 744–747.
ICPR-v2-2006-ZhangJHW #detection #using: Learning-Based License Plate Detection Using Global and Local Features (HZ, WJ, XH, QW), pp. 1102–1105.
ICPR-v3-2006-AlahariPJ #learning #online #recognition: Learning Mixtures of Offline and Online features for Handwritten Stroke Recognition (KA, SLP, CVJ), pp. 379–382.
ICPR-v3-2006-BeveridgeSR #classification #comparison #detection #naive bayes #using: A Comparison of Pixel, Edge andWavelet Features for Face Detection using a Semi-Naive Bayesian Classifier (JRB, JS, BR), pp. 1175–1178.
ICPR-v3-2006-ChenY06a #adaptation #equation #image: A new adaptive diffusion equation for image noise removal and feature preservation (SC, XY), pp. 885–888.
ICPR-v3-2006-FarajB #authentication: Motion Features from Lip Movement for Person Authentication (MIF, JB), pp. 1059–1062.
ICPR-v3-2006-LeePL #image #kernel #re-engineering: Face Reconstruction with Low Resolution Facial Images by Feature Vector Projection in Kernel Space (SWL, JP, SWL), pp. 1179–1182.
ICPR-v3-2006-LiGYCG #feature model: Facial Feature Selection Based on SVMs by Regularized Risk Minimization (WL, WG, LY, WC, XG), pp. 540–543.
ICPR-v3-2006-LiuW #algorithm #analysis #component #feature model #recognition #search-based: Feature Extraction with Genetic Algorithms Based Nonlinear Principal Component Analysis for Face Recognition (NL, HW), pp. 461–464.
ICPR-v3-2006-LiuW06a #multi #recognition: Facial Expression Recognition Based on Fusion of Multiple Gabor Features (WL, ZW), pp. 536–539.
ICPR-v3-2006-LiuYLM #recognition #robust #similarity: Occlusion Robust Face Recognition with Dynamic Similarity Features (QL, WY, HL, SM), pp. 544–547.
ICPR-v3-2006-PranckevicieneHS #feature model: Class Separability in Spaces Reduced By Feature Selection (EP, TH, RLS), pp. 254–257.
ICPR-v3-2006-QinSL #analysis #feature model #performance: Efficient Feature Extraction Based on Regularized Uncorrelated Chernoff Discriminant Analysis (AKQ, PNS, ML), pp. 125–128.
ICPR-v3-2006-SagheerTTAM #approach #feature model #multi #performance #problem: Fast Feature Extraction Approach for Multi-Dimension Feature Space Problems (AES, NT, RiT, DA, SM), pp. 417–420.
ICPR-v3-2006-XuanZCZSF #distance #feature model: Feature Selection based on the Bhattacharyya Distance (GX, XZ, PC, ZZ, YQS, DF), pp. 1232–1235.
ICPR-v3-2006-XueD #2d #3d #locality #multi #using: 3D+2D Face Localization Using Boosting in Multi-Modal Feature Space (FX, XD), pp. 499–502.
ICPR-v3-2006-ZhengYYWY #agile #feature model #recognition: A Complete and Rapid Feature Extraction Method for Face Recognition (YJZ, JYY, JY, XW, DY), pp. 469–472.
ICPR-v4-2006-ArmandBM #verification: Off-line Signature Verification based on the Modified Direction Feature (SA, MB, VM), pp. 509–512.
ICPR-v4-2006-ChaiWJZ #novel #recognition: A Novel Human Gait Recognition Method by Segmenting and Extracting the Region Variance Feature (YC, QW, JJ, RZ), pp. 425–428.
ICPR-v4-2006-ChikkerurPJRB #locality #representation #using: Fingerprint Representation Using Localized Texture Features (SC, SP, AJ, NKR, RMB), pp. 521–524.
ICPR-v4-2006-CristaniCM #3d #adaptation #estimation #integration #segmentation: Adaptive Feature Integration for Segmentation of 3D Data by Unsupervised Density Estimation (MC, UC, VM), pp. 21–24.
ICPR-v4-2006-Gonzalez-JimenezA #authentication: Pose Correction and Subject-Specific Features for Face Authentication (DGJ, JLAC), pp. 602–605.
ICPR-v4-2006-JainCD #using: Pores and Ridges: Fingerprint Matching Using Level 3 Features (AKJ, YC, MD), pp. 477–480.
ICPR-v4-2006-NosratighodsAE #novel #set #using #verification: Speaker Verification Using A Novel Set of Dynamic Features (MN, EA, JE), pp. 266–269.
ICPR-v4-2006-OuyangFSC: Fingerprint Matching With Rotation-Descriptor Texture Features (ZO, JF, FS, AC), pp. 417–420.
ICPR-v4-2006-ReisertB #3d #data-driven #database #integration #invariant #using: Invariant Features for 3D-Data based on Group Integration using Directional Information and Spherical Harmonic Expansion (MR, HB), pp. 206–209.
ICPR-v4-2006-SunY #3d #evaluation #feature model #identification: Evaluation of 3D Facial Feature Selection for Individual Facial Model Identification (YS, LY), pp. 562–565.
ICPR-v4-2006-VillamizarSA #detection #image #invariant #realtime #using: Computation of Rotation Local Invariant Features using the Integral Image for Real Time Object Detection (MV, AS, JAC), pp. 81–85.
ICPR-v4-2006-WuQ #geometry #identification #using: A Hierarchical Palmprint Identification Method Using Hand Geometry and Grayscale Distribution Features (JW, ZQ), pp. 409–412.
ICPR-v4-2006-XuanZCZSF06a #distance #feature model: Feature Selection based on the Bhattacharyya Distance (GX, XZ, PC, ZZ, YQS, DF), p. 957.
ICPR-v4-2006-XuC #classification #invariant #multi: Multiscale Blob Features for Gray Scale, Rotation and Spatial Scale Invariant Texture Classification (QX, YQC), pp. 29–32.
ICPR-v4-2006-YinAC #identification: Combining Cepstral and Prosodic Features in Language Identification (BY, EA, FC), pp. 254–257.
ICPR-v4-2006-ZhangMH #feature model #multi #network: Multiscale Feature Extraction of Finger-Vein Patterns Based on Curvelets and Local Interconnection Structure Neural Network (ZZ, SM, XH), pp. 145–148.
ICPR-v4-2006-ZhouB #distance #recognition #video: Feature Fusion of Face and Gait for Human Recognition at a Distance in Video (XZ, BB), pp. 529–532.
ICPR-v4-2006-ZlatoffRTB #image #retrieval: Content-Based Image Retrieval: on theWay to Object Features (NZ, GR, BT, AB), pp. 153–156.
KDD-2006-BurkeMWB #classification #collaboration #detection #recommendation: Classification features for attack detection in collaborative recommender systems (RDB, BM, CW, RB), pp. 542–547.
KDD-2006-CarvalhoC #feature model #learning #online #performance: Single-pass online learning: performance, voting schemes and online feature selection (VRC, WWC), pp. 548–553.
KDD-2006-MorchenMU #generative #modelling #music #statistics: Understandable models Of music collections based on exhaustive feature generation with temporal statistics (FM, IM, AU), pp. 882–891.
KDD-2006-TsangKK #feature model #kernel #performance #set: Efficient kernel feature extraction for massive data sets (IWT, AK, JTK), pp. 724–729.
KDD-2006-ZhangL #classification #string: Extracting key-substring-group features for text classification (DZ, WSL), pp. 474–483.
KR-2006-RandellW #abduction #visual notation: Abductive Visual Perception with Feature Clouds (DAR, MW), pp. 352–361.
KR-2006-ThielscherW #calculus #semantics: The Features-and-Fluents Semantics for the Fluent Calculus (MT, TW), pp. 362–370.
SIGIR-2006-JeonCLP #framework #predict #quality: A framework to predict the quality of answers with non-textual features (JJ, WBC, JHL, SP), pp. 228–235.
SIGIR-2006-LiZZL #case study #comparative #design #experience #library #user interface: A comparative study of the effect of search feature design on user experience in digital libraries (DLs) (YL, XZ, YZ, JL), pp. 669–670.
SIGIR-2006-Mu #matter #question #retrieval #semantics #video #visual notation: Content-based video retrieval: does video’s semantic visual feature matter? (XM), pp. 679–680.
SIGIR-2006-Mu06a #retrieval #semantics #video #visual notation: Supporting semantic visual feature browsing in contentbased video retrieval (XM), p. 734.
SIGIR-2006-SevillanoCAS #clustering #documentation #robust: Feature diversity in cluster ensembles for robust document clustering (XS, GC, FA, JCS), pp. 697–698.
SIGIR-2006-TreeratpitukC #automation #case study #clustering #statistics #using: An experimental study on automatically labeling hierarchical clusters using statistical features (PT, JPC), pp. 707–708.
GPCE-2006-ApelB #aspect-oriented #case study: When to use features and aspects?: a case study (SA, DSB), pp. 59–68.
GPCE-2006-CzarneckiP #constraints #ocl #verification: Verifying feature-based model templates against well-formedness OCL constraints (KC, KP), pp. 211–220.
GPCE-2006-Prehofer #composition #multi #reasoning #semantics: Semantic reasoning about feature composition via multiple aspect-weavings (CP), pp. 237–242.
GPCE-2006-TrujilloBD #multi #product line #refactoring: Feature refactoring a multi-representation program into a product line (ST, DSB, OD), pp. 191–200.
RE-2006-ChenZZM #analysis #dependence #identification #requirements: Identification of Crosscutting Requirements Based on Feature Dependency Analysis (KC, HZ, WZ, HM), pp. 300–303.
RE-2006-ReiserW #multi #product line: Managing Highly Complex Product Families with Multi-Level Feature Trees (MOR, MW), pp. 146–155.
RE-2006-SchobbensHT #bibliography #diagrams #feature model #semantics: Feature Diagrams: A Survey and a Formal Semantics (PYS, PH, JCT), pp. 136–145.
SAC-2006-BergerMD #categorisation #email #set: Exploiting partial decision trees for feature subset selection in e-mail categorization (HB, DM, MD), pp. 1105–1109.
SAC-2006-CombarroMRD #categorisation #feature model #metric: Angular measures for feature selection in text categorization (EFC, EM, JR, ID), pp. 826–830.
SAC-2006-Lindgren #on the: On handling conflicts between rules with numerical features (TL), pp. 37–41.
SAC-2006-MontanesCRD #categorisation #feature model #linear #metric: Finding optimal linear measures for feature selection in text categorization (EM, EFC, JR, ID), pp. 861–862.
SAC-2006-PechenizkiyPT #feature model #learning #reduction: The impact of sample reduction on PCA-based feature extraction for supervised learning (MP, SP, AT), pp. 553–558.
SAC-2006-SoaresB #kernel #parametricity #using: Selecting parameters of SVM using meta-learning and kernel matrix-based meta-features (CS, PB), pp. 564–568.
FSE-2006-GirouxR #detection #testing #using: Detecting increases in feature coupling using regression tests (OG, MPR), pp. 163–174.
ICSE-2006-ApelLS #aspect-oriented #mixin: Aspectual mixin layers: aspects and features in concert (SA, TL, GS), pp. 122–131.
ICSE-2006-Holmes #reuse #scalability: Unanticipated reuse of large-scale software features (RH), pp. 961–964.
ICSE-2006-LiuBL #legacy #refactoring: Feature oriented refactoring of legacy applications (JL, DSB, CL), pp. 112–121.
SPLC-2006-AsikainenMS #concept #feature model #modelling: A Unified Conceptual Foundation for Feature Modelling (TA, TM, TS), pp. 31–40.
SPLC-2006-Batory #composition #product line: Feature Modularity in Software Product Lines (DSB), p. 230.
SPLC-2006-BrownGBSKG #behaviour #embedded #feature model #modelling #product line #weaving: Weaving Behavior into Feature Models for Embedded System Families (TJB, RG, RB, ITAS, PK, CG), pp. 52–64.
SPLC-2006-CzarneckiKK #feature model #modelling #ontology: Feature Models are Views on Ontologies (KC, CHPK, KTK), pp. 41–51.
SPLC-2006-LeeK #approach #configuration management #feature model #product line: A Feature-Oriented Approach to Developing Dynamically Reconfigurable Products in Product Line Engineering (JL, KCK), pp. 131–140.
SPLC-2006-LeeKKP #analysis #aspect-oriented #development #feature model #product line #programming: Combining Feature-Oriented Analysis and Aspect-Oriented Programming for Product Line Asset Development (KL, KCK, MK, SP), pp. 103–112.
SPLC-2006-SpinczykP #feature model #modelling #using: Using Feature Models for Product Derivation (OS, HP), p. 225.
WICSA-2005-BrownBGSK #architecture #development #embedded #product line: Feature-Guided Architecture Development for Embedded System Families (TJB, RB, CG, ITAS, PK), pp. 223–226.
ASE-2005-KoschkeQ #feature model #on the: On dynamic feature location (RK, JQ), pp. 86–95.
DocEng-2005-BeheraLI #documentation #identification: Influence of fusion strategies on feature-based identification of low-resolution documents (AB, DL, RI), pp. 20–22.
DRR-2005-ChenD #feature model #verification: Sequence-matching-based feature extraction with applications to signature verification (YC, XD), pp. 76–83.
ICDAR-2005-BaiH #case study #online #recognition: A Study On the Use of 8-Directional Features For Online Handwritten Chinese Character Recognition (ZLB, QH), pp. 262–266.
ICDAR-2005-ChenS #verification: Use of Exterior Contours and Shape Features in Off-line Signature Verification (SC, SNS), pp. 1280–1284.
ICDAR-2005-El-HajjLM #markov #modelling #recognition #using: Arabic Handwriting Recognition Using Baseline Dependant Features and Hidden Markov Modeling (REH, LLS, CM), pp. 893–897.
ICDAR-2005-FinkP #feature model #independence #on the #recognition: On Appearance-Based Feature Extraction Methods for Writer-Independent Handwritten Text Recognition (GAF, TP), pp. 1070–1074.
ICDAR-2005-HaritJC #geometry #graph #image #independence #representation #retrieval #word: Improved Geometric Feature Graph: A Script Independent Representation of Word Images for Compression, and Retrieval (GH, RJ, SC), pp. 421–425.
ICDAR-2005-IwamuraNOA #recognition: Isolated Character Recognition by Searching Feature Points (MI, KN, SO, HA), pp. 1035–1039.
ICDAR-2005-KangG #ranking #recognition: A New Feature Ranking Method in a HMM-Based Handwriting Recognition System (SK, VG), pp. 779–783.
ICDAR-2005-LiuD #classification #multi #polynomial #recognition #using: Handwritten Character Recognition Using Gradient Feature and Quadratic Classifier with Multiple Discrimination Schemes (HL, XD), pp. 19–25.
ICDAR-2005-LiuFZL #documentation #image #retrieval: Document Image Retrieval Based on Density Distribution Feature and Key Block Feature (HL, SF, HZ, XL), pp. 1040–1044.
ICDAR-2005-LiuKF #comparison #feature model #recognition: Gabor Feature Extraction for Character Recognition: Comparison with Gradient Feature (CLL, MK, HF), pp. 121–125.
ICDAR-2005-LiuMK #classification #feature model #recognition #scalability #set #using: Building Compact Classifier for Large Character Set Recognition Using Discriminative Feature Extraction (CLL, RM, MK), pp. 846–850.
ICDAR-2005-LiuWD #classification #detection #image: Text Detection in Images Based on Unsupervised Classification of Edge-based Features (CL, CW, RD), pp. 610–614.
ICDAR-2005-MethasateMST #recognition: The feature Combination Technique for Off-line Thai Character Recognition System (IM, SM, SSt, TT), pp. 1006–1009.
ICDAR-2005-OkumurUS #coordination #implementation #online #recognition: An HMM Implementation for On-line Handwriting Recognition — Based on Pen-Coordinate Feature and Pen-Direction Feature (DO, SU, HS), pp. 26–30.
ICDAR-2005-RadtkeSW #classification #feature model: Intelligent Feature Extraction for Ensemble of Classifiers (PVWR, RS, TW), pp. 866–870.
ICDAR-2005-RichiardiKD #feature model #online #verification: Local and Global Feature Selection for On-line Signature Verification (JR, HK, AD), pp. 625–629.
ICDAR-2005-SaoiGK #clustering #detection #image #multi: Text Detection in Color Scene Images based on Unsupervised Clustering of Multi-channel Wavelet Features (TS, HG, HK), pp. 690–694.
ICDAR-2005-SchlapbachKB #feature model #identification: ImprovingWriter Identification by Means of Feature Selection and Extraction (AS, VK, HB), pp. 131–135.
ICDAR-2005-SunHKN #recognition #using: Camera based Degraded Text Recognition Using Grayscale Feature (JS, YH, YK, SN), pp. 182–186.
ICDAR-2005-TerradesV: Local Norm Features based on ridgelets Transform (ORT, EV), pp. 700–704.
ICDAR-2005-ZhangBS #feature model #hybrid #recognition: Hybrid Feature Extraction and Feature Selection for Improving Recognition Accuracy of Handwritten Numerals (PZ, TDB, CYS), pp. 136–140.
FASE-2005-HammoudaHPK #using #variability: Managing Variability Using Heterogeneous Feature Variation Patterns (IH, JH, MP, KK), pp. 145–159.
CSMR-2005-GreevyD #analysis #approach #correlation #using: Correlating Features and Code Using a Compact Two-Sided Trace Analysis Approach (OG, SD), pp. 314–323.
ICSM-2005-AntoniolG #approach #case study #identification #novel: Feature Identification: A Novel Approach and a Case Study (GA, YGG), pp. 357–366.
ICSM-2005-EisenbergV: Dynamic Feature Traces: Finding Features in Unfamiliar Code (ADE, KDV), pp. 337–346.
ICSM-2005-GreevyDG #analysis #evolution #semantics: Analyzing Feature Traces to Incorporate the Semantics of Change in Software Evolution Analysis (OG, SD, TG), pp. 347–356.
ICSM-2005-MarcusR #concept #identification #source code: Identifications of Concepts, Features, and Concerns in Source Code (AM, VR), p. 718.
CHI-2005-BeckwithBWCSH #debugging #effectiveness #gender #question: Effectiveness of end-user debugging software features: are there gender issues? (LB, MMB, SW, CRC, SS, MH), pp. 869–878.
CHI-2005-RosenholtzLMJ: Feature congestion: a measure of display clutter (RR, YL, JM, ZJ), pp. 761–770.
VISSOFT-2005-GreevyLW #3d #feature model #interactive #visualisation: Visualizing Feature Interaction in 3-D (OG, ML, CW), pp. 114–119.
VISSOFT-2005-SmithM #identification #interactive #java #runtime #source code: Identifying Structural Features of Java Programs by Analysing the Interaction of Classes at Runtime (MPS, MM), pp. 108–113.
AdaEurope-2005-Brosgol #ada #comparison #java #realtime #specification: A Comparison of the Mutual Exclusion Features in Ada and the Real-Time Specification for Java TM (BMB), pp. 129–143.
CAiSE-2005-BenavidesTC #automation #feature model #modelling #reasoning: Automated Reasoning on Feature Models (DB, PTMA, ARC), pp. 491–503.
ICEIS-v1-2005-ArandaVCP #elicitation #tool support: Choosing Groupware Tools and Elicitation Techniques According to Stakeholders’ Features (GNA, AV, AC, MP), pp. 68–75.
CIKM-2005-HanK #recommendation: Feature-based recommendation system (EHH, GK), pp. 446–452.
CIKM-2005-KanT #classification #performance #using: Fast webpage classification using URL features (MYK, HONT), pp. 325–326.
CIKM-2005-RamirezWV #retrieval #xml: Structural features in content oriented XML retrieval (GR, TW, APdV), pp. 291–292.
ECIR-2005-ChenDWLZ #feature model: AP-Based Borda Voting Method for Feature Extraction in TRECVID-2004 (LC, DD, DW, FL, BZ), pp. 568–570.
ECIR-2005-RuchPS: Features Combination for Extracting Gene Functions from MEDLINE (PR, LP, JS), pp. 112–126.
ICML-2005-GlocerET #classification #feature model #online: Online feature selection for pixel classification (KAG, DE, JT), pp. 249–256.
ICML-2005-Keerthi #classification #effectiveness #feature model: Generalized LARS as an effective feature selection tool for text classification with SVMs (SSK), pp. 417–424.
KDD-2005-FujimakiYM #approach #detection #kernel #problem #using: An approach to spacecraft anomaly detection problem using kernel feature space (RF, TY, KM), pp. 401–410.
KDD-2005-JinZM #collaboration #recommendation #web: A maximum entropy web recommendation system: combining collaborative and content features (XJ, YZ, BM), pp. 612–617.
KDD-2005-LazarevicK #detection: Feature bagging for outlier detection (AL, VK), pp. 157–166.
KDD-2005-Momma #kernel #performance #scalability: Efficient computations via scalable sparse kernel partial least squares and boosted latent features (MM), pp. 654–659.
KDD-2005-ZhouFSU #feature model #streaming #using: Streaming feature selection using alpha-investing (JZ, DPF, RAS, LHU), pp. 384–393.
MLDM-2005-Bak #classification #linear #multi: A New Multidimensional Feature Transformation for Linear Classifiers and Its Applications (EB), pp. 275–284.
MLDM-2005-Bobrowski #feature model #modelling: Ranked Modelling with Feature Selection Based on the CPL Criterion Functions (LB), pp. 218–227.
MLDM-2005-HanCY #analysis #component #feature model #image #independence #using: Aquaculture Feature Extraction from Satellite Image Using Independent Component Analysis (JGH, KHC, YKY), pp. 660–666.
MLDM-2005-KurganH #approach #feature model #predict #sequence: Prediction of Secondary Protein Structure Content from Primary Sequence Alone — A Feature Selection Based Approach (LAK, LH), pp. 334–345.
MLDM-2005-LegrandN #feature model #using: Feature Selection Method Using Preferences Aggregation (GL, NN), pp. 203–217.
MLDM-2005-MakrehchiK #classification #using: Text Classification Using Small Number of Features (MM, MSK), pp. 580–589.
MLDM-2005-ScalzoP #learning #visual notation: Unsupervised Learning of Visual Feature Hierarchies (FS, JHP), pp. 243–252.
SEKE-2005-BenavidesTC #constraints #feature model #modelling #programming #using: Using Constraint Programming to Reason on Feature Models (DB, PT, ARC), pp. 677–682.
SEKE-2005-LiCLY #analysis #design #evolution #feature model #legacy #using: Using Feature-Oriented Analysis to Recover Legacy Software Design for Software Evolution (SL, FC, ZL, HY), pp. 336–341.
SEKE-2005-MorenoS #human-computer #usability: Helping Software Engineers to Incorporate HCI Usability Features (AMM, MISS), pp. 719–726.
SEKE-2005-YeS #dependence #modelling #variability: Modelling Feature Variability and Dependency in Two Views (HY, AS), pp. 661–664.
SIGIR-2005-LiY #analysis #recursion: Analysis of recursive feature elimination methods (FL, YY), pp. 633–634.
SIGIR-2005-YanLZYCCFM #categorisation #feature model #named #orthogonal: OCFS: optimal orthogonal centroid feature selection for text categorization (JY, NL, BZ, SY, ZC, QC, WF, WYM), pp. 122–129.
ECMDA-FA-2005-HwanKC #feature model #modelling: Synchronizing Cardinality-Based Feature Models and Their Specializations (CHPK, KC), pp. 331–348.
MoDELS-2005-ZhangMZY #approach #component #feature model: Transformation from CIM to PIM: A Feature-Oriented Component-Based Approach (WZ, HM, HZ, JY), pp. 248–263.
MoDELS-2005-ZhangMZY #approach #component #feature model: Transformation from CIM to PIM: A Feature-Oriented Component-Based Approach (WZ, HM, HZ, JY), pp. 248–263.
ECOOP-2005-Lopez-HerrejonBC #composition: Evaluating Support for Features in Advanced Modularization Technologies (RELH, DSB, WRC), pp. 169–194.
GPCE-2005-ApelLRS #aspect-oriented #feature model #programming: FeatureC++: On the Symbiosis of Feature-Oriented and Aspect-Oriented Programming (SA, TL, MR, GS), pp. 125–140.
GPCE-2005-CzarneckiA #approach #modelling: Mapping Features to Models: A Template Approach Based on Superimposed Variants (KC, MA), pp. 422–437.
RE-2005-BittnerBPRW #requirements #reuse #scalability #variability: Managing Variability and Reuse of Features and Requirements for Large and Complex Organizational Structures (MB, AB, AP, MOR, MW), pp. 469–470.
RE-2005-ChenZZM #approach #clustering #feature model #modelling #requirements: An Approach to Constructing Feature Models Based on Requirements Clustering (KC, WZ, HZ, HM), pp. 31–40.
RE-2005-ZhangMZ #approach #dependence #feature model #modelling #requirements: A Feature-Oriented Approach to Modeling Requirements Dependencies (WZ, HM, HZ), pp. 273–284.
SAC-2005-BustosKS: A pivot-based index structure for combination of feature vectors (BB, DAK, TS), pp. 1180–1184.
SAC-2005-LiY #classification #predict #recursion #using: Using recursive classification to discover predictive features (FL, YY), pp. 1054–1058.
SAC-2005-RahalRPNPRV #biology #incremental #interactive #mining: Incremental interactive mining of constrained association rules from biological annotation data with nominal features (IR, DR, AP, HN, WP, RR, WVG), pp. 123–127.
GTTSE-2005-Batory #programming #tutorial: A Tutorial on Feature Oriented Programming and the AHEAD Tool Suite (DSB), pp. 3–35.
GTTSE-2005-BenavidesSMC #analysis #automation #csp #feature model #java #modelling #using: Using Java CSP Solvers in the Automated Analyses of Feature Models (DB, SS, PTMA, ARC), pp. 399–408.
GTTSE-2005-PorkolabZ #c++ #composition #metaprogramming #problem: A Feature Composition Problem and a Solution Based on C++ Template Metaprogramming (ZP, IZ), pp. 459–470.
SPLC-2005-Batory #feature model #modelling: Feature Models, Grammars, and Propositional Formulas (DSB), pp. 7–20.
SPLC-2005-ErikssonBB #approach #case study #domain model #modelling: The PLUSS Approach — Domain Modeling with Features, Use Cases and Use Case Realizations (ME, JB, KB), pp. 33–44.
SPLC-2005-KangKLK #case study #feature model #legacy #product line #re-engineering: Feature-Oriented Re-engineering of Legacy Systems into Product Line Assets — a Case Study (KCK, MK, JL, BK), pp. 45–56.
SPLC-2005-MassenL #feature model #modelling: Determining the Variation Degree of Feature Models (TvdM, HL), pp. 82–88.
TestCom-2005-ChiH #communication #detection #generative #interactive #testing: Test Generation for Interaction Detection in Feature-Rich Communication Systems (CC, RH), pp. 242–257.
DATE-v1-2004-MetraMO #design #fault #question #testing: Are Our Design for Testability Features Fault Secure? (CM, TMM, MO), pp. 714–715.
DRR-2004-ZhangSH #image #retrieval #using #word: Word image retrieval using binary features (BZ, SNS, CH), pp. 45–53.
CSMR-2004-PashovRP #architecture #feature model #modelling: Supporting Architectural Restructuring by Analyzing Feature Models (IP, MR, IP), pp. 25–36.
ICSM-2004-LuciaFOT #traceability: Enhancing an Artefact Management System with Traceability Recovery Features (ADL, FF, RO, GT), pp. 306–315.
ICSM-2004-SalahM: A Hierarchy of Dynamic Software Views: From Object-Interactions to Feature-Interactions (MS, SM), pp. 72–81.
ICSM-2004-ZhaoZHMS #algorithm #feature model #scalability: Alternative Scalable Algorithms for Lattice-Based Feature Location (WZ, LZ, DH, HM, JS), p. 528.
ICEIS-v3-2004-Raabe #modelling #re-engineering: Feature Matching in Model-Based Software Engineering (AR), pp. 163–172.
CIKM-2004-AghiliAA #geometry #using: Protein structure alignment using geometrical features (SAA, DA, AEA), pp. 148–149.
CIKM-2004-WangL #categorisation #feature model: Feature selection with conditional mutual information maximin in text categorization (GW, FHL), pp. 342–349.
ECIR-2004-BelkhatirMC #automation #concept #image #multi #retrieval: Integrating Perceptual Signal Features within a Multi-facetted Conceptual Model for Automatic Image Retrieval (MB, PM, YC), pp. 267–282.
ECIR-2004-MoschittiB #classification: Complex Linguistic Features for Text Classification: A Comprehensive Study (AM, RB), pp. 181–196.
ICML-2004-AppiceCRF #multi #problem: Redundant feature elimination for multi-class problems (AA, MC, SR, PAF).
ICML-2004-BahamondeBDQLCAG #case study #learning #set: Feature subset selection for learning preferences: a case study (AB, GFB, JD, JRQ, OL, JJdC, JA, FG).
ICML-2004-Forman #classification #feature model #multi: A pitfall and solution in multi-class feature selection for text classification (GF).
ICML-2004-GabrilovichM #categorisation #feature model #using: Text categorization with many redundant features: using aggressive feature selection to make SVMs competitive with C4.5 (EG, SM).
ICML-2004-Gilad-BachrachNT #algorithm #feature model: Margin based feature selection — theory and algorithms (RGB, AN, NT).
ICML-2004-HardinTA #feature model #linear: A theoretical characterization of linear SVM-based feature selection (DPH, IT, CFA).
ICML-2004-Jebara #kernel #multi: Multi-task feature and kernel selection for SVMs (TJ).
ICML-2004-JinL #induction #robust: Robust feature induction for support vector machines (RJ, HL).
ICML-2004-KimK #feature model: Gradient LASSO for feature selection (YK, JK).
ICML-2004-YeJLP #analysis #feature model #linear: Feature extraction via generalized uncorrelated linear discriminant analysis (JY, RJ, QL, HP).
ICPR-v1-2004-BariamisIMK #architecture #feature model #image #realtime: An FPGA-Based Architecture for Real Time Image Feature Extraction (DGB, DKI, DEM, SAK), pp. 801–804.
ICPR-v1-2004-ClausiD #image #segmentation: Feature Fusion for Image Texture Segmentation (DAC, HD), pp. 580–583.
ICPR-v1-2004-FanWLT #null #recognition: Combining Null Space-based Gabor Features for Face Recognition (WF, YW, WL, TT), pp. 330–333.
ICPR-v1-2004-GunterB #evaluation #feature model #recognition #word: An Evaluation of Ensemble Methods in Handwritten Word Recognition Based on Feature Selection (SG, HB), pp. 388–392.
ICPR-v1-2004-HallOC #detection #low level: A Trainable Low-level Feature Detector (PMH, MO, JPC), pp. 708–711.
ICPR-v1-2004-KokareBC #image #retrieval: Rotated Complex Wavelet based Texture Features for Content Based Image Retrieval (MK, PKB, BNC), pp. 652–655.
ICPR-v1-2004-KolschKNP #classification #image: Enhancements for Local Feature Based Image Classification (TK, DK, HN, RP), pp. 248–251.
ICPR-v1-2004-LiHS #feature model #image #programming #retrieval #search-based #semantics #using: Semantic Feature Extraction Using Genetic Programming in Image Retrieval (QL, HH, ZS), pp. 648–651.
ICPR-v1-2004-NammalwarGW #integration #segmentation: Integration of Feature Distributions for Colour Texture Segmentation (PN, OG, PFW), pp. 716–719.
ICPR-v1-2004-PnevmatikakisP #comparison: Comparison of Eigenface-Based Feature Vectors under Different Impairments (AP, LP), pp. 296–299.
ICPR-v1-2004-Rivero-MorenoB #feature model: Texture Feature Extraction and Indexing by Hermite Filters (CJRM, SB), pp. 684–687.
ICPR-v1-2004-ShanGCCY #bibliography #recognition #robust: Review the Strength of Gabor Features for Face Recognition from the Angle of Its Robustness to Mis-Alignment (SS, WG, YC, BC, PY), pp. 338–341.
ICPR-v1-2004-SochmanM: Inter-Stage Feature Propagation in Cascade Building with AdaBoost (JS, JM), pp. 236–239.
ICPR-v1-2004-WuAL #detection: Glasses Detection by Boosting Simple Wavelet Features (BW, HA, RL), pp. 292–295.
ICPR-v1-2004-XuC #classification #statistics: Statistical Landscape Features for Texture Classification (CLX, YQC), pp. 676–679.
ICPR-v1-2004-ZhouT #analysis #clustering #coordination #documentation #geometry #re-engineering #visual notation: Coordinate Systems Reconstruction for Graphical Documents by Hough-feature Clustering and Geometric Analysis (YPZ, CLT), pp. 376–379.
ICPR-v2-2004-BeierholmB #music #speech #using: Speech Music Discrimination Using Class-Specific Features (TB, PMB), pp. 379–382.
ICPR-v2-2004-ChenLF #adaptation #feature model #probability: Probabilistic Tracking with Adaptive Feature Selection (HTC, TLL, CSF), pp. 736–739.
ICPR-v2-2004-DongB #database #image #modelling: Discriminant Features for Model-Based Image Databases (AD, BB), pp. 997–1000.
ICPR-v2-2004-FarmerBJ #feature model #random #scalability #using: Large Scale Feature Selection Using Modified Random Mutation Hill Climbing (MEF, SB, AKJ), pp. 287–290.
ICPR-v2-2004-HaasdonkHB #invariant: Adjustable Invariant Features by Partial Haar-Integration (BH, AH, HB), pp. 769–774.
ICPR-v2-2004-JunejoJS #modelling #multi #video: Multi Feature Path Modeling for Video Surveillance (INJ, OJ, MS), pp. 716–719.
ICPR-v2-2004-KaplanRS #image #robust: Robust Feature Matching Across Widely Separated Color Images (AK, ER, IS), pp. 136–139.
ICPR-v2-2004-KherfiBZ #effectiveness #image #retrieval #semantics #visual notation: Combining Visual Features with Semantics for a More Effective Image Retrieval (MLK, DB, DZ), pp. 961–964.
ICPR-v2-2004-KimBSCCKC #image #using #verification: Scene Text Extraction in Natural Scene Images using Hierarchical Feature Combining and Verification (KCK, HRB, YJS, YWC, SYC, KKK, YC), pp. 679–682.
ICPR-v2-2004-LeungNL #classification: ICA-FX Features for Classification of Singing Voice and Instrumental Sound (TWL, CWN, RWHL), pp. 367–370.
ICPR-v2-2004-LillholmP #classification: Jet Based Feature Classification (ML, KSP), pp. 787–790.
ICPR-v2-2004-LiuS #learning: Reinforcement Learning-Based Feature Learning for Object Tracking (FL, JS), pp. 748–751.
ICPR-v2-2004-MitraM #clustering #feature model: Feature Selection and Gene Clustering from Gene Expression Data (PM, DDM), pp. 343–346.
ICPR-v2-2004-MozaffarifK #classification #comparison #recognition #using: Feature Comparison between Fractal Codes and Wavelet Transform in Handwritten Alphanumeric Recognition Using SVM Classifier (SM, KF, HRK), pp. 331–334.
ICPR-v2-2004-Nagao #approach #feature model #kernel: Bayesian Approach with Nonlinear Kernels to Feature Extraction (KN), pp. 153–156.
ICPR-v2-2004-PlotzF #analysis #biology #feature model #sequence: Feature Extraction for Improved Profile HMM based Biological Sequence Analysis (TP, GAF), pp. 315–318.
ICPR-v2-2004-SerbyKG #multi #probability #using: Probabilistic Object Tracking Using Multiple Features (DS, EKM, LJVG), pp. 184–187.
ICPR-v2-2004-ShihL #analysis #detection #using #video: Face Detection Using Discriminating Feature Analysis and Support Vector Machine in Video (PS, CL), pp. 407–410.
ICPR-v2-2004-ShimanoN #optimisation #recognition: Simultaneous Optimization of Class Configuration and Feature Space for Object Recognition (MS, KN), pp. 7–10.
ICPR-v2-2004-StefanoGM #approach #feature model #multi #online #segmentation: A Multiresolution Approach to On-line Handwriting Segmentation and Feature Extraction (CDS, MG, AM), pp. 614–617.
ICPR-v2-2004-TahirBKA #classification #feature model #using: Feature Selection using Tabu Search for Improving the Classification Rate of Prostate Needle Biopsies (MAT, AB, FK, AA), pp. 335–338.
ICPR-v2-2004-WilsonH #distance #graph: Levenshtein Distance for Graph Spectral Features (RCW, ERH), pp. 489–492.
ICPR-v2-2004-Wohler #3d #re-engineering #self: 3D Surface Reconstruction by Self-Consistent Fusion of Shading and Shadow Features (CW), pp. 204–207.
ICPR-v2-2004-XuanDKHCW #feature model #multi #predict #profiling #robust: Robust Feature Selection by Weighted Fisher Criterion for Multiclass Prediction in Gene Expression Profiling (JX, YD, JIK, EPH, RC, YJW), pp. 291–294.
ICPR-v2-2004-ZhangLG #detection #realtime #using: Real-Time Face Detection Using Boosting in Hierarchical Feature Spaces (DZ, SZL, DGP), pp. 411–414.
ICPR-v3-2004-CarneiroJ #using: Pruning Local Feature Correspondences Using Shape Context (GC, ADJ), pp. 16–19.
ICPR-v3-2004-DornaikaD #online: Online Appearance-Based Face and Facial Feature Tracking (FD, FD), pp. 814–817.
ICPR-v3-2004-FusseneggerOPA #detection #recognition #segmentation #using: Object Recognition Using Segmentation for Feature Detection (MF, AO, AP, PA), pp. 41–44.
ICPR-v3-2004-KashinoKK #clustering #video: A Quick Video Search Method based on Local and Global Feature Clustering (KK, AK, TK), pp. 894–897.
ICPR-v3-2004-LiewWY #classification #sequence #statistics: Selection of Statistical Features Based on Mutual Information for Classification of Human Coding and Non-coding DNA Sequences (AWCL, YW, HY), pp. 766–769.
ICPR-v3-2004-MiyoshiLKYN #automation #geometry: Automatic Extraction of Buildings Utilizing Geometric Features of a Scanned Topographic Map (TM, WL, KK, HY, EN), pp. 626–629.
ICPR-v3-2004-SalbergH #estimation #segmentation #using: Object Segmentation and Feature Estimation Using Shadows (ABS, AH), pp. 674–678.
ICPR-v3-2004-WangLL #analysis #towards: Tensor Voting Toward Feature Space Analysis (JW, HL, QL), pp. 462–465.
ICPR-v3-2004-WanX #automation #generative #multimodal #performance: Efficient Multimodal Features for Automatic Soccer Highlight Generation (KW, CX), pp. 973–976.
ICPR-v3-2004-WuZZ #feature model #linear #using: Relevant Linear Feature Extraction Using Side-information and Unlabeled Data (FW, YZ, CZ), pp. 582–585.
ICPR-v3-2004-ZhouK04a #classification: The Pattern Classification Based on the Nearest Feature Midpoints (ZZ, CKK), pp. 446–449.
ICPR-v4-2004-CastanedaLC #architecture #composition #implementation #realtime #visual notation: Implementation of a Modular Real-Time Feature-Based Architecture Applied to Visual Face Tracking (BC, YL, JCC), pp. 167–170.
ICPR-v4-2004-KoseckaY #estimation #invariant #locality: Global Localization and Relative Pose Estimation Based on Scale-Invariant Features (JK, XY), pp. 319–322.
ICPR-v4-2004-MarkouS #feature model: Feature Selection based on a Black Hole Model of Data Reorganization (MM, SS), pp. 565–568.
ICPR-v4-2004-PaclikVD #algorithm #feature model #multi: Multi-Class Extensions of the GLDB Feature Extraction Algorithm for Spectral Data (PP, SV, RPWD), pp. 629–632.
ICPR-v4-2004-PrasadSK #image #set #using: Feature Subset Selection using ICA for Classifying Emphysema in HRCT Images (MNP, AS, IK), pp. 515–518.
ICPR-v4-2004-Qiu #clustering #image: Image and Feature Co-Clustering (GQ), pp. 991–994.
ICPR-v4-2004-SawanoO #difference: Road Extraction by Snake with Inertia and Differential Features (HS, MO), pp. 380–383.
ICPR-v4-2004-WuWZ #energy #recognition #using: Palmprint Recognition Using Directional Line Energy Feature (XW, KW, DZ), pp. 475–478.
ICPR-v4-2004-Xiao-JunKYMW #algorithm #feature model #recognition: A New Direct LDA (D-LDA) Algorithm for Feature Extraction in Face Recognition (XW, JK, JYY, KM, SW), pp. 545–548.
ICPR-v4-2004-YangL #detection #multi: Multiple Pedestrian Detection and Tracking based on Weighted Temporal Texture Features (HDY, SWL), pp. 248–251.
ICPR-v4-2004-YangSW #multi #people: People Tracking by Integrating Multiple Features (MTY, YCS, SCW), pp. 929–932.
ICPR-v4-2004-YingH04a #detection #using: Catadioptric Line Features Detection using Hough Transform (XY, ZH), pp. 839–842.
ICPR-v4-2004-ZhaiRS #detection #finite #state machine #using: Conversation Detection in Feature Films Using Finite State Machines (YZ, ZR, MS), pp. 458–461.
KDD-2004-Cantu-PazNK #feature model: Feature selection in scientific applications (ECP, SDN, CK), pp. 788–793.
KDD-2004-YuL #array #feature model: Redundancy based feature selection for microarray data (LY, HL), pp. 737–742.
SEKE-2004-FoxF #adaptation #clustering #documentation #reduction: Document Clustering with Adaptive Term Weighting and Feature Reduction Capabilities (TWF, BJF), pp. 142–147.
SEKE-2004-ZhaoBCRABO #composition: Grammatically Interpreting Feature Compositions (WZ, BRB, FC, RRR, MA, CCB, AMO), pp. 185–191.
SIGIR-2004-LiKGO #music #recommendation: A music recommender based on audio features (QL, BMK, DG, DwO), pp. 532–533.
SIGIR-2004-MladenicBGM #classification #feature model #interactive #linear #modelling #using: Feature selection using linear classifier weights: interaction with classification models (DM, JB, MG, NMF), pp. 234–241.
SIGIR-2004-YeS #clustering #retrieval: Aggregated feature retrieval for MPEG-7 via clustering (JY, AFS), pp. 514–515.
UML-2004-DologN #collaboration #diagrams #feature model #modelling #uml #using: Using UML-based Feature Models and UML Collaboration Diagrams to Information Modelling for Web-Based Applications (PD, WN), pp. 425–439.
OOPSLA-2004-ZhangJ04a #middleware: Resolving feature convolution in middleware systems (CZ, HAJ), pp. 188–205.
SAC-2004-FengBM #array #detection: Time-frequency feature detection for time-course microarray data (JF, PEB, BM), pp. 128–132.
SAC-2004-MatsushitaKI #distributed #peer-to-peer #using: Feature-based distributed object search using signatures in Peer-to-Peer environments (RM, HK, YI), pp. 729–734.
SAC-2004-MotaiK #3d #feature model #locality #robust: Concatenate feature extraction for robust 3D elliptic object localization (YM, AK), pp. 21–28.
FSE-2004-MeziniO #aspect-oriented #feature model #programming #variability: Variability management with feature-oriented programming and aspects (MM, KO), pp. 127–136.
ICSE-2004-Batory #feature model #programming: Feature-Oriented Programming and the AHEAD Tool Suite (DSB), pp. 702–703.
ICSE-2004-HaRCRD #case study #composition #experience #induction #proving #realtime: Feature-Based Decomposition of Inductive Proofs Applied to Real-Time Avionics Software: An Experience Report (VH, MR, DDC, HR, BD), pp. 304–313.
ICSE-2004-WohlstadterJD #design #distributed #feature model #implementation: Design and Implementation of Distributed Crosscutting Features with DADO (EW, SJ, PTD), pp. 706–707.
ICSE-2004-ZhaoZLSY #approach #feature model #named #towards: SNIAFL: Towards a Static Non-Interactive Approach to Feature Location (WZ, LZ, YL, JS, FY), pp. 293–303.
SPLC-2004-CzarneckiHE #feature model #modelling #staged #using: Staged Configuration Using Feature Models (KC, SH, UWE), pp. 266–283.
SPLC-2004-LeeKK #approach #product line: A Feature-Based Approach to Product Line Production Planning (JL, KCK, SK), pp. 183–196.
HPDC-2004-GullapalliDHMPS #grid: Showcasing the Features and Capabilities of NEESgrid: A Grid Based System for the Earthquake Engineering Domain (SG, SD, PH, DM, LP, CS), pp. 268–269.
ASE-2003-LicataHK #evolution #source code: The Feature Signatures of Evolving Programs (DRL, CDH, SK), pp. 281–285.
DocEng-2003-ZuOWK #automation #classification: Accuracy improvement of automatic text classification based on feature transformation (GZ, WO, TW, FK), pp. 118–120.
DRR-2003-CinqueLMR #theorem: Fermat theorem and elliptic color histogram features (LC, SL, AM, FDR), pp. 234–240.
DRR-2003-LiangD #documentation #logic: Content features for logical document labeling (JL, DSD), pp. 189–196.
ICDAR-2003-AblavskyS #automation #documentation #feature model #identification: Automatic Feature Selection with Applications to Script Identification of Degraded Documents (VA, MRS), pp. 750–754.
ICDAR-2003-AllierDGME #logic: Texture Feature Characterization for Logical Pre-labeling (BA, JD, AG, PM, HE), pp. 567–571.
ICDAR-2003-AndersenZ #documentation #identification: Features for Neural Net Based Region Identification of Newspaper Documents (TLA, WZ), pp. 403–407.
ICDAR-2003-BlumensteinVB #feature model #novel #recognition: A Novel Feature Extraction Technique for the Recognition of Segmented Handwritten Characters (MB, BV, HB), pp. 137–141.
ICDAR-2003-BulacuSV #identification #using: Writer Identification Using Edge-Based Directional Features (MB, LS, LV), pp. 937–941.
ICDAR-2003-ChaTS #algorithm #optimisation #recognition #search-based #similarity #using: Optimizing Binary Feature Vector Similarity Measure using Genetic Algorithm and Handwritten Character Recognition (SHC, CCT, SNS), pp. 662–665.
ICDAR-2003-FeldbachT #documentation #segmentation #semantics #word: Word Segmentation of Handwritten Dates in Historical Documents by Combining Semantic A-Priori-Knowledge with Local Features (MF, KDT), pp. 333–337.
ICDAR-2003-GocciaBSD #classification #feature model #optimisation #recognition: Recognition of Container Code Characters through Gray-Level Feature Extraction and Gradient-Based Classifier Optimization (MG, MB, CS, SGD), p. 973–?.
ICDAR-2003-LeedhamC #identification #using: Writer Identification using Innovative Binarised Features of Handwritten Numerals (GL, SC), pp. 413–417.
ICDAR-2003-Likforman-SulemVY #image: Proper Names Extraction from Fax Images Combining Textual and Image Features (LLS, PV, FY), pp. 545–549.
ICDAR-2003-MenotiBFB #approach #feature model #segmentation: Segmentation of Postal Envelopes for Address Block Location: an approach based on feature selection in wavelet space (DM, DLB, JF, AdSBJ), pp. 699–703.
ICDAR-2003-Mori #feature model #recognition #using #video: Video text recognition using feature compensation as category-dependent feature extraction (MM), pp. 645–649.
ICDAR-2003-MoritaSBS03a #algorithm #feature model #multi #recognition #search-based #using #word: Unsupervised Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Word Recognition (MEM, RS, FB, CYS), pp. 666–670.
ICDAR-2003-OliveiraSBS #algorithm #approach #feature model #multi #search-based: Feature Selection for Ensembles: A Hierarchical Multi-Objective Genetic Algorithm Approach (LESdO, RS, FB, CYS), p. 676–?.
ICDAR-2003-RathM #word: Features for Word Spotting in Historical Manuscripts (TMR, RM), pp. 218–222.
ICDAR-2003-SutantoLP #analysis #consistency #documentation: Study of the Consistency of Some Discriminatory Features Used by Document Examiners in the Analysis of Handwritten Letter “a” (PJS, GL, VP), pp. 1091–1095.
ICDAR-2003-Verma #recognition #segmentation: A Contour Code Feature Based Segmentation For Handwriting Recognition (BV), pp. 1203–1207.
ICDAR-2003-VermaG #approach #architecture #online #recognition: A Neural-Evolutionary Approach for Feature and Architecture Selection in Online Handwriting Recognition (BV, MG), pp. 1038–1042.
ICDAR-2003-WangDL #identification #linear #using: Writer Identification Using Directional Element Features and Linear Transform (XW, XD, HL), pp. 942–945.
ICDAR-2003-WuM #feature model #recognition: Feature Extraction by Hierarchical Overlapped Elastic Meshing for Handwritten Chinese Character Recognition (TW, SM), pp. 529–533.
ICDAR-2003-ZhangS #analysis #using #word: Analysis of Handwriting Individuality Using Word Features (BZ, SNS), pp. 1142–1146.
SIGMOD-2003-KriegelBKPS #set #similarity #using: Using Sets of Feature Vectors for Similarity Search on Voxelized CAD Objects (HPK, SB, PK, MP, MS), pp. 587–598.
CSEET-2003-Cowling03a #education #modelling #named #re-engineering: Modelling: A Neglected Feature in the Software Engineering Curriculum (AJC), pp. 206–215.
FASE-2003-VanderperrenSWJ #component #composition #visual notation: PacoSuite and JAsCo: A Visual Component Composition Environment with Advanced Aspect Separation Features (WV, DS, BW, VJ), pp. 166–169.
CSMR-2003-EvancoV #architecture #maintenance: Some Optimal Object-Based Architectural Features for Corrective Maintenance (WME, JMV), pp. 281–280.
WCRE-2003-FischerPG #debugging: Analyzing and Relating Bug Report Data for Feature Tracking (MF, MP, HG), pp. 90–101.
AdaEurope-2003-BrosgolW #ada #comparison #java #realtime: A Comparison of the Asynchronous Transfer of Control Features in Ada and the Real-Time Speci.cation for Java (BMB, AJW), pp. 113–128.
AdaEurope-2003-EvancoV #ada #architecture #fault: Some Architectural Features of Ada Systems Affecting Defects (WME, JMV), pp. 232–245.
ICEIS-v2-2003-Abdel-WahaabBHH #3d #invariant #network #recognition #using: Three-Dimensional Object Recognition Using Support Vector Machine Neural Network Based on Moment Invariant Features (MSAW, SFB, ASH, DMH), pp. 583–588.
ICEIS-v2-2003-SalemSA #algorithm #self #using: Improving Self-Organizing Feature Map (SOFM) Training Algorithm Using K-Means Initialization (ABMS, MMS, AFA), pp. 399–405.
ECIR-2003-YeS #retrieval: Aggregated Feature Retrieval for MPEG-7 (JY, AFS), pp. 563–570.
ICML-2003-KrawiecB #learning #synthesis #visual notation: Visual Learning by Evolutionary Feature Synthesis (KK, BB), pp. 376–383.
ICML-2003-LiuLCM #clustering #evaluation #feature model: An Evaluation on Feature Selection for Text Clustering (TL, SL, ZC, WYM), pp. 488–495.
ICML-2003-PerkinsT #feature model #online #using: Online Feature Selection using Grafting (SP, JT), pp. 592–599.
ICML-2003-TaskarWK #learning #testing: Learning on the Test Data: Leveraging Unseen Features (BT, MFW, DK), pp. 744–751.
ICML-2003-WuC #adaptation #learning: Adaptive Feature-Space Conformal Transformation for Imbalanced-Data Learning (GW, EYC), pp. 816–823.
ICML-2003-YuL #feature model #performance: Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution (LY, HL), pp. 856–863.
KDD-2003-PampalkGW #feature model #visualisation: Visualizing changes in the structure of data for exploratory feature selection (EP, WG, GW), pp. 157–166.
KDD-2003-PerlichP #concept #relational: Aggregation-based feature invention and relational concept classes (CP, FJP), pp. 167–176.
KDD-2003-YuL: Efficiently handling feature redundancy in high-dimensional data (LY, HL), pp. 685–690.
MLDM-2003-KrawiecB #learning #recognition: Coevolutionary Feature Learning for Object Recognition (KK, BB), pp. 224–238.
SIGIR-2003-Li: Syntactic features in question answering (XL), pp. 383–384.
SIGIR-2003-MuM #retrieval #statistics #video #visual notation: Statistical visual feature indexes in video retrieval (XM, GM), pp. 395–396.
SAC-2003-ChenYT #feature model: The Bitmap-based Feature Selection Method (WCC, MCY, SST), pp. 465–469.
SAC-2003-Huntbach #concurrent #programming language: Features of the Concurrent Programming Language Aldwych (MMH), pp. 1048–1054.
SAC-2003-KaramHGR #evaluation #image #retrieval #using: Enhancement of Wavelet-Based Medical Image Retrieval Through Feature Evaluation Using an Information Gain Measure (OHK, AMH, SG, SR), pp. 220–226.
SAC-2003-Tufts-ConradZZ #feature model #named #summary: SOM — Feature Extraction from Patient Discharge Summaries (DJTC, ANZH, DZ), pp. 263–267.
ICSE-2003-Batory #product line #programming #tutorial: A Tutorial on Feature Oriented Programming and Product-Lines (DSB), pp. 753–754.
ICSE-2003-WohlstadterJD #distributed #feature model #middleware #named: DADO: Enhancing Middleware to Support Crosscutting Features in Distributed, Heterogeneous Systems (EW, SJ, PTD), pp. 174–186.
CBSE-2003-JiaA #feature model #interactive #runtime: Run-Time Management of Feature Interactions (YJ, JMA), p. 7.
ASE-2002-LiKF #composition #interface #verification: Interfaces for Modular Feature Verification (HCL, SK, KF), pp. 195–204.
DocEng-2002-WibowoW #categorisation #feature model: Simple and accurate feature selection for hierarchical categorisation (WW, HEW), pp. 111–118.
VLDB-2002-ZellerK #case study #database #experience #optimisation #scalability: Experience Report: Exploiting Advanced Database Optimization Features for Large-Scale SAP R/3 Installations (BZ, AK), pp. 894–905.
ICSM-2002-EisenbarthKS #incremental #scalability #source code: Incremental Location of Combined Features for Large-Scale Programs (TE, RK, DS), pp. 273–282.
CAiSE-2002-BerlinM #database #feature model #machine learning #using: Database Schema Matching Using Machine Learning with Feature Selection (JB, AM), pp. 452–466.
ICEIS-2002-FilhoL #uml: A Proposal for the Incorporation of the Features Model into the UML Language (IMF, TCdO, CJPdL), pp. 594–601.
CIKM-2002-KellyYBMC #documentation: Features of documents relevant to task- and fact-oriented questions (DK, XJY, NJB, VM, WBC), pp. 645–647.
CIKM-2002-RogatiY #classification #feature model: High-performing feature selection for text classification (MR, YY), pp. 659–661.
ECIR-2002-HeeschR #comparative #evaluation #performance #retrieval #sketching: Combining Features for Content-Based Sketch Retrieval — A Comparative Evaluation of Retrieval Performance (DH, SMR), pp. 41–52.
ICML-2002-AlphonseM #induction #logic programming #set: Feature Subset Selection and Inductive Logic Programming (ÉA, SM), pp. 11–18.
ICML-2002-JensenN #bias #feature model #learning #relational: Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning (DJ, JN), pp. 259–266.
ICML-2002-LiuMY #feature model: Feature Selection with Selective Sampling (HL, HM, LY), pp. 395–402.
ICML-2002-SlonimBFT #feature model #markov #memory management #multi: Discriminative Feature Selection via Multiclass Variable Memory Markov Model (NS, GB, SF, NT), pp. 578–585.
ICML-2002-TeowLNY #approach #fault #feature model: Refining the Wrapper Approach — Smoothed Error Estimates for Feature Selection (LNT, HL, HTN, EY), pp. 626–633.
ICPR-v1-2002-ClaudeWPB #classification #image #network: Contour Features for Colposcopic Image Classification by Artificial Neural Networks (IC, RW, PP, JCB), pp. 771–774.
ICPR-v1-2002-DockstaderBT #analysis #feature model: Feature Extraction for the Analysis of Gait and Human Motion (SLD, KAB, AMT), pp. 5–8.
ICPR-v1-2002-KatoPQ #image #multi #segmentation: Multicue MRF Image Segmentation: Combining Texture and Color Features (ZK, TCP, SGQ), pp. 660–663.
ICPR-v1-2002-MitaniYKUMH: Combining the Gabor and Histogram Features for Classifying Diffuse Lung Opacities in Thin-Section Computed Tomography (YM, HY, SK, KU, NM, YH), pp. 53–56.
ICPR-v1-2002-OliveiraSBS #algorithm #feature model #multi #recognition #search-based #using: Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Digit Recognition (LESdO, RS, FB, CYS), pp. 568–571.
ICPR-v1-2002-SinghSM #clustering #feature model #recognition: Feature Selection for Face Recognition Based on Data Partitioning (SS, MS, MM), pp. 680–683.
ICPR-v1-2002-Torkkola #classification #documentation: Discriminative Features for Document Classification (KT), pp. 472–475.
ICPR-v1-2002-VegaS #analysis: Experiments on Gait Analysis by Exploiting Nonstationarity in the Distribution of Feature Relationships (IRV, SS), pp. 1–4.
ICPR-v1-2002-VielhauerSM #online #statistics: Biometric Hash based on Statistical Features of Online Signatures (CV, RS, AM), pp. 123–126.
ICPR-v1-2002-WuWZ #energy #fuzzy #identification: Fuzzy Directional Element Energy Feature (FDEEF) Based Palmprint Identification (XW, KW, DZ), pp. 95–98.
ICPR-v2-2002-ArseneauC #automation #robust: Automated Feature Registration for Robust Tracking Methods (SA, JRC), pp. 1078–1081.
ICPR-v2-2002-BarataP #classification #clustering #modelling #set #using: Improving Classification Rates by Modelling the Clusters of Trainings Sets in Features Space Using Mathematical Morphology Operators (TB, PP), pp. 328–331.
ICPR-v2-2002-CesarBB #graph #optimisation #probability #recognition #using: Inexact Graph Matching Using Stochastic Optimization Techniques for Facial Feature Recognition (RMC, EB, IB), pp. 465–468.
ICPR-v2-2002-FangTW #verification: Fusion of Global and Local Features for Face Verification (YF, TT, YW), pp. 382–385.
ICPR-v2-2002-GuptaDD #automation #classification #fault #feature model: Beam Search for Feature Selection in Automatic SVM Defect Classification (PG, DSD, DD), pp. 212–215.
ICPR-v2-2002-KanbaraYT #artificial reality: Registration for Stereo Vision-Based Augmented Reality Based on Extendible Tracking of Markers and Natural Features (MK, NY, HT), pp. 1045–1048.
ICPR-v2-2002-Keren #identification #naive bayes #using: Painter Identification Using Local Features and Naive Bayes (DK), pp. 474–477.
ICPR-v2-2002-Lashkia #learning: Learning with Relevant Features and Examples (GVL), pp. 68–71.
ICPR-v2-2002-LiuHLM #analysis #kernel #recognition: Kernel-Based Optimized Feature Vectors Selection and Discriminant Analysis for Face Recognition (QL, RH, HL, SM), pp. 362–365.
ICPR-v2-2002-MurpheyL #classification #feature model #multi #network: Feature Extraction for a Multiple Pattern Classification Neural Network System (YLM, YL), pp. 220–223.
ICPR-v2-2002-OhLM #algorithm #feature model #search-based: Local Search-Embedded Genetic Algorithms for Feature Selection (ISO, JSL, BRM), pp. 148–151.
ICPR-v2-2002-Perez-JimenezP #feature model: Radial Projections for Non-Linear Feature Extraction (AJPJ, JCPC), pp. 444–447.
ICPR-v2-2002-RasheedS #classification: Movie Genre Classification By Exploiting Audio-Visual Features Of Previews (ZR, MS), pp. 1086–1089.
ICPR-v2-2002-TaoIS: Extracting Fractal Features for Analyzing Protein Structure (YT, TRI, JCS), pp. 482–485.
ICPR-v2-2002-Torkkola02a #feature model #learning #problem: Learning Feature Transforms Is an Easier Problem Than Feature Selection (KT), pp. 104–107.
ICPR-v2-2002-YangP02b #3d #detection #named: CHEF: Convex Hull of Elliptic Features for 3D Blob Detection (QY, BP), pp. 282–285.
ICPR-v2-2002-ZengCN #image #representation: Image Feature Representation by the Subspace of Nonlinear PCA (XYZ, YWC, ZN), pp. 228–231.
ICPR-v2-2002-ZhangBS #2d #feature model #recognition #using: Recognition of Similar Objects Using 2-D Wavelet-Fractal Feature Extraction (PZ, TDB, CYS), pp. 316–319.
ICPR-v2-2002-ZivkovicH #convergence: Better Features to Track by Estimating the Tracking Convergence Region (ZZ, FvdH), pp. 635–638.
ICPR-v3-2002-AyromlouVP #probability #realtime: Probabilistic Matching of Image- to Model-Features for Real-time Object Tracking (MA, MV, WP), pp. 692–695.
ICPR-v3-2002-CampbellF #recognition #using: Recognition of Free-Form Objects in Dense Range Data Using Local Features (RJC, PJF), pp. 607–610.
ICPR-v3-2002-CeguerraK #automation #verification: Integrating Local and Global Features in Automatic Fingerprint Verification (AC, IK), pp. 347–350.
ICPR-v3-2002-Cuesta-FrauPAN #case study #clustering #comparative #feature model: Feature Extraction Methods Applied to the Clustering of Electrocardiographic Signals. A Comparative Study (DCF, JCPC, GAG, DN), pp. 961–964.
ICPR-v3-2002-DuongEC #analysis #documentation #image: Features for Printed Document Image Analysis (JD, HE, MC), pp. 245–248.
ICPR-v3-2002-GarciaP #feature model #integration #multi #pattern matching #pattern recognition #recognition: Improving Texture Pattern Recognition by Integration of Multiple Texture Feature Extraction Methods (MAG, DP), pp. 7–10.
ICPR-v3-2002-HontaniSKA #feature model #image #symmetry: Vibratory Image Feature Extraction Based on Local Log-Polar Symmetry (HH, JS, AK, SA), pp. 839–842.
ICPR-v3-2002-KimKKK #bound #sequence: Usefulness of Boundary Sequences in Computing Shape Features for Arbitrary Shaped Regions (SK, SK, JK, MK), pp. 355–358.
ICPR-v3-2002-LinB #detection: Discovering Operators and Features for Object Detection (YL, BB), pp. 339–342.
ICPR-v3-2002-MoriSH #feature model #recognition: Category-Dependent Feature Extraction for Recognition of Degraded Handwritten Characters (MM, MS, NH), pp. 155–159.
ICPR-v3-2002-NakaiSSS #independence #online #recognition: Pen Pressure Features for Writer-Independent On-Line Handwriting Recognition Based on Substroke HMM (MN, TS, HS, SS), pp. 220–223.
ICPR-v3-2002-SinKC #image #using: Locating Characters in Scene Images Using Frequency Features (BKS, SKK, BJC), pp. 489–492.
ICPR-v3-2002-Smeraldi #detection #named #parametricity: Ranklets: Orientation Selective Non-Parametric Features Applied to Face Detection (FS), pp. 379–382.
ICPR-v3-2002-SuW #identification #learning #process: A Learning Process to the Identification of Feature Points on Chinese Characters (YMS, JFW), pp. 93–97.
ICPR-v3-2002-VinciarelliB #markov #modelling #recognition #using #word: Offline Cursive Word Recognition using Continuous Density Hidden Markov Models Trained with PCA or ICA Features (AV, SB), pp. 81–84.
ICPR-v4-2002-Al-AniD #feature model: Feature Selection sing a Mutual Information Based Measure (AAA, MD), pp. 82–85.
ICPR-v4-2002-BarataP02a #classification #clustering #modelling #set #using: Improving Classification Rates by Modelling the Clusters of Trainings Sets in Features Space Using Mathematical Morphology Operators (TB, PP), pp. 90–93.
ICPR-v4-2002-GokberkAA #feature model #invariant #recognition: Feature Selection for Pose Invariant Face Recognition (BG, LA, EA), pp. 306–309.
ICPR-v4-2002-WangDL #feature model #recognition: Optimized Gabor Filter Based Feature Extraction for Character Recognition (XW, XD, CL), pp. 223–226.
ICPR-v4-2002-XiL #detection #feature model #using: Face Detection and Facial Feature Extraction Using Support Vector Machines (DX, SWL), pp. 209–212.
ICPR-v4-2002-ZhuS #adaptation #analysis #detection #feature model #statistics: Discriminant Analysis and Adaptive Wavelet Feature Selection for Statistical Object Detection (YZ, SCS), pp. 86–89.
KDD-2002-FangHL #identification #using: Tumor cell identification using features rules (BF, WH, MLL), pp. 495–500.
KDD-2002-FragoudisML #classification: Integrating feature and instance selection for text classification (DF, DM, SL), pp. 501–506.
KDD-2002-KolczSK #classification #performance #random: Efficient handling of high-dimensional feature spaces by randomized classifier ensembles (AK, XS, JKK), pp. 307–313.
SIGIR-2002-LeeM #classification: Text genre classification with genre-revealing and subject-revealing features (YBL, SHM), pp. 145–150.
SAC-2002-HuyS #transaction: Agent-based mobility add-in feature for Object Transaction Service (OTS) (HPH, SS), pp. 68–75.
FSE-2002-LiKF #verification: Verifying cross-cutting features as open systems (HCL, SK, KF), pp. 89–98.
ICSE-2002-MehtaH #component #evolution #fine-grained #legacy: Evolving legacy system features into fine-grained components (AM, GTH), pp. 417–427.
SPLC-2002-DeursenJK #product line #using: Feature-Based Product Line Instantiation Using Source-Level Packages (AvD, MdJ, TK), pp. 217–234.
SPLC-2002-FerberHS #dependence #feature model #interactive #legacy #modelling #product line #re-engineering: Feature Interaction and Dependencies: Modeling Features for Reengineering a Legacy Product Line (SF, JH, JS), pp. 235–256.
SPLC-2002-FeyFB #feature model #metamodelling #modelling #usability: Feature Modeling: A Meta-Model to Enhance Usability and Usefulness (DF, RF, AB), pp. 198–216.
LCTES-SCOPES-2002-HunlethC #aspect-oriented #programming #using: Footprint and feature management using aspect-oriented programming techniques (FH, RC), pp. 38–45.
DAC-2001-SanieCHM #design #standard: A Practical Application of Full-Feature Alternating Phase-Shifting Technology for a Phase-Aware Standard-Cell Design Flow (MS, MC, PH, VM), pp. 93–96.
ICDAR-2001-ElgammalI #framework #graph #recognition #segmentation: A Graph-Based Segmentation and Feature-Extraction Framework for Arabic Text Recognition (AME, MAI), pp. 622–626.
ICDAR-2001-FanCW #documentation #identification #using: Form Document Identification Using Line Structure Based Features (KCF, MLC, YKW), pp. 704–708.
ICDAR-2001-FreitasBS #approach #recognition #set #validation #word: Handwritten Isolated Word Recognition: An Approach Based on Mutual Information for Feature Set Validation (COdAF, FB, RS), pp. 665–669.
ICDAR-2001-GaoJYH #approach #feature model #recognition: A New Stroke-Based Directional Feature Extraction Approach for Handwritten Chinese Character Recognition (XG, LJ, JY, JH), pp. 635–639.
ICDAR-2001-GomesL #feature model #fuzzy #recognition #set: Feature Extraction Based on Fuzzy Set Theory for Handwriting Recognition (NRG, LLL), pp. 655–659.
ICDAR-2001-HusseinWK #algorithm #bibliography #feature model #search-based: Genetic Algorithms for Feature Selection and Weighting, A Review and Study (FH, RKW, NNK), p. 1240–?.
ICDAR-2001-IwataYYKIM #identification #library #using: Book Cover Identification by Using Four Directional Features Filed for a Small-Scale Library System (KI, KY, MY, KK, MI, KM), pp. 582–586.
ICDAR-2001-MartiMB #identification #using: Writer Identification Using Text Line Based Features (UVM, RM, HB), pp. 101–105.
ICDAR-2001-MitchellY #analysis #documentation #segmentation: Newspaper Document Analysis Featuring Connected Line Segmentation (PEM, HY), pp. 1181–1185.
ICDAR-2001-MoriSHMM #feature model #recognition #robust: Robust Feature Extraction Based on Run-Length Compensation for Degraded Handwritten Character Recognition (MM, MS, NH, HM, NM), pp. 650–654.
ICDAR-2001-NishimuraTMMN #feature model #recognition #using: Off-line Hand-written Character Recognition Using Integrated 1D HMMs Based on Feature Extraction Filters (HN, MT, MM, HM, YN), pp. 417–423.
ICDAR-2001-RheeCK #feature model #online #segmentation #using #verification: On-Line Signature Verification Using Model-Guided Segmentation and Discriminative Feature Selection for Skilled Forgeries (THR, SJC, JHK), pp. 645–649.
ICDAR-2001-SuralD #algorithm #feature model #search-based: A Genetic Algorithm for Feature Selection in a Neuro-Fuzzy OCR System (SS, PKD), pp. 987–991.
ICDAR-2001-SuralD01a #fuzzy #multi #recognition #using: Recognition of an Indian Script Using Multilayer Perceptrons and Fuzzy Features (SS, PKD), pp. 1120–1125.
ICDAR-2001-TanabeYKMOI #automation #verification: Automatic Signature Verification Based on the Dynamic Feature of Pressure (KT, MY, HK, SM, SO, TI), pp. 1045–1049.
ICDAR-2001-TaoT #using: Discrimination of Oriental and Euramerican Scripts Using Fractal Feature (YT, YYT), pp. 1115–1119.
ICDAR-2001-WangCFZ #normalisation #recognition #set: Match Between Normalization Schemes and Feature Sets for Handwritten Chinese Character Recognition (QW, ZC, DDF, RZ), pp. 551–555.
ICDAR-2001-XueG #feature model #graph #image: Building Skeletal Graphs for Structural Feature Extraction on Handwriting Images (HX, VG), pp. 96–100.
CSMR-2001-EisenbarthKS #component #concept analysis: Derivation of Feature Component Maps by Means of Concept Analysis (TE, RK, DS), pp. 176–179.
CSMR-2001-WildeBPR #case study #feature model #fortran #legacy: A Case Study of Feature Location in Unstructured Legacy Fortran Code (NW, MB, HP, VR), pp. 68–76.
ICSM-2001-EisenbarthKS #analysis #comprehension: Aiding Program Comprehension by Static and Dynamic Feature Analysis (TE, RK, DS), pp. 602–611.
IWPC-2001-EisenbarthKS #comprehension #concept analysis #execution #using: Feature-Driven Program Understanding Using Concept Analysis of Execution Traces (TE, RK, DS), pp. 300–309.
AdaEurope-2001-Lamm #component #library: Component Libraries and Language Features (EL), pp. 215–228.
SIGAda-2001-WhiteW #ada #dynamic analysis: Dynamic analysis for locating product features in Ada code (LJW, NW), pp. 99–106.
ICEIS-v1-2001-SoonthornphisajK #algorithm #categorisation #problem #set #using #web: The Effects of Differnet Feature Sets on the Web Page Categorization Problem Using the Iterative Cross-Training Algorithm (NS, BK), pp. 404–410.
CIKM-2001-KolczPK #categorisation #feature model #summary: Summarization as Feature Selection for Text Categorization (AK, VP, JKK), pp. 365–370.
CIKM-2001-PollyW #feature model #pattern matching #performance #robust: Efficient and Robust Feature Extraction and Pattern Matching of Time Series by a Lattice Structure (WPMP, MHW), pp. 271–278.
ICML-2001-Das #feature model #hybrid: Filters, Wrappers and a Boosting-Based Hybrid for Feature Selection (SD), pp. 74–81.
ICML-2001-KramerR: Feature Construction with Version Spaces for Biochemical Applications (SK, LDR), pp. 258–265.
ICML-2001-NgJ #classification #convergence #feature model: Convergence rates of the Voting Gibbs classifier, with application to Bayesian feature selection (AYN, MIJ), pp. 377–384.
ICML-2001-XingJK #array #feature model: Feature selection for high-dimensional genomic microarray data (EPX, MIJ, RMK), pp. 601–608.
KDD-2001-KramerRH #mining: Molecular feature mining in HIV data (SK, LDR, CH), pp. 136–143.
MLDM-2001-KollmarH #feature model #learning: Feature Selection for a Real-World Learning Task (DK, DHH), pp. 157–172.
MLDM-2001-WuH #self #towards: Towards Self-Exploring Discriminating Features (YW, TSH), pp. 263–277.
SIGIR-2001-BekkermanEWT #categorisation #clustering #on the: On Feature Distributional Clustering for Text Categorization (RB, REY, YW, NT), pp. 146–153.
SIGIR-2001-Pickens #feature model #music #retrieval: Feature Selection for Polyphonic Music Retrieval (JP), pp. 428–429.
TOOLS-USA-2001-Breuel #code generation #implementation #java #using: Implementing Dynamic Language Features in Java Using Dynamic Code Generation (TMB), pp. 143–152.
SAC-2001-SongNC #similarity: A cell-based index structure for similarity search in high-dimensional feature spaces (KTS, HJN, JWC), pp. 264–268.
ICSE-2001-Mehta #evolution #legacy #re-engineering #using: Evolving Legacy Systems Using Feature Engineering and CBSE (AM), pp. 797–798.
ICSE-2001-MurphyLWR #case study #source code: Separating Features in Source Code: An Exploratory Study (GCM, AL, RJW, MPR), pp. 275–284.
HPDC-2001-KuntrarukP #data mining #distributed #feature model #mining #parallel #using: Massively Parallel Distributed Feature Extraction in Textual Data Mining Using HDDI(tm) (JK, WMP), pp. 363–370.
DAC-2000-TianWB #modelling: Model-based dummy feature placement for oxide chemical-mechanical polishing manufacturability (RT, DFW, RB), pp. 667–670.
SIGMOD-2000-Rodriguez-Martinez #automation #database #deployment #middleware #named: MOCHA: A Database Middleware System Featuring Automatic Deployment of Application-Specific Functionality (MRM, NR, JMM, SK, VK, ZS, JJ), p. 594.
VLDB-2000-GuntzerBK #database #image #multi #optimisation #query: Optimizing Multi-Feature Queries for Image Databases (UG, WTB, WK), pp. 419–428.
ICSM-2000-HisP #evolution: Studying the Evolution and Enhancement of Software Features (IH, CP), p. 143–?.
ICSM-2000-LukoitWSH #named #visual notation: TraceGraph: Immediate Visual Location of Software Features (KL, NW, SS, TH), pp. 33–39.
IWPC-2000-ChenR #case study #dependence #feature model #graph #using: Case Study of Feature Location Using Dependence Graph (KC, VR), pp. 241–247.
IWPC-2000-DeprezL: A Formalism to Automate Mapping from Program Features to Code (JCD, AL), pp. 69–78.
ICML-2000-BoschZ #in memory #learning #multi: Unpacking Multi-valued Symbolic Features and Classes in Memory-Based Language Learning (AvdB, JZ), pp. 1055–1062.
ICML-2000-Cohen #automation #concept #learning #web: Automatically Extracting Features for Concept Learning from the Web (WWC), pp. 159–166.
ICML-2000-DyB #identification #learning #order #set: Feature Subset Selection and Order Identification for Unsupervised Learning (JGD, CEB), pp. 247–254.
ICML-2000-Hall #feature model #machine learning: Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning (MAH), pp. 359–366.
ICML-2000-OSullivanLCB #algorithm #named #robust: FeatureBoost: A Meta-Learning Algorithm that Improves Model Robustness (JO, JL, RC, AB), pp. 703–710.
ICML-2000-PiaterG #development #learning #visual notation: Constructive Feature Learning and the Development of Visual Expertise (JHP, RAG), pp. 751–758.
ICML-2000-Talavera #concept #feature model #incremental #learning #probability: Feature Selection and Incremental Learning of Probabilistic Concept Hierarchies (LT), pp. 951–958.
ICML-2000-TorkkolaC #learning: Mutual Information in Learning Feature Transformations (KT, WMC), pp. 1015–1022.
ICML-2000-WalkerWL #comprehension #fault #identification #natural language #using: Using Natural Language Processing and discourse Features to Identify Understanding Errors (MAW, JHW, IL), pp. 1111–1118.
ICPR-v1-2000-Abrantes #algorithm #analysis #clustering #multi: A Constrained Clustering Algorithm for Shape Analysis with Multiple Features (AJA), pp. 1912–1919.
ICPR-v1-2000-BorgaMK #detection #named: FSED — Feature Selective Edge Detection (MB, HM, HK), pp. 1229–1232.
ICPR-v1-2000-FernandezA #image #segmentation: Image Segmentation Combining Region Depth and Object Features (JF, JA), pp. 1618–1621.
ICPR-v1-2000-GotzeDH #invariant #recognition: Invariant Object Recognition with Discriminant Features Based on Local Fast-Fourier Mellin Transform (NG, SD, GH), pp. 1948–1951.
ICPR-v1-2000-Little #coordination: Deforming Surface Features Lines in Intrinsic Coordinates (JJL), pp. 1291–1294.
ICPR-v1-2000-NealS #3d #detection #representation: A Symbolic Representation for 3-D Object Feature Detection (PJN, LGS), pp. 1221–1224.
ICPR-v1-2000-ParkA #image #interactive #multi #recognition #using: Recognition of Human Interaction Using Multiple Features in Grayscale Images (SP, JKA), pp. 1051–1054.
ICPR-v1-2000-PiaterG #learning #network #recognition: Feature Learning for Recognition with Bayesian Networks (JHP, RAG), pp. 1017–1020.
ICPR-v1-2000-YangPM: Singular Features in Sea Surface Temperature Data (QY, BP, AM), pp. 1516–1520.
ICPR-v1-2000-ZhouH #image #representation #retrieval #using: Image Representation and Retrieval Using Structural Features (XSZ, TSH), pp. 5039–5042.
ICPR-v2-2000-BaesensVVD #feature model #network #optimisation: Wrapped Feature Selection by Means of Guided Neural Network Optimization (BB, SV, JV, GD), pp. 2113–2116.
ICPR-v2-2000-BaggenstossN #classification #probability #using: A Theoretically Optimal Probabilistic Classifier Using Class-Specific Features (PMB, HN), pp. 2763–2768.
ICPR-v2-2000-BhanuBT #feature model #image #logic: Logical Templates for Feature Extraction in Fingerprint Images (BB, MB, XT), pp. 2846–2850.
ICPR-v2-2000-BovisS #detection #using: Detection of Masses in Mammograms Using Texture Features (KB, SS), pp. 2267–2270.
ICPR-v2-2000-BrandLO #image #retrieval #statistics: Statistical Shape Features in Content-Based Image Retrieval (SSB, JL, EO), pp. 6062–6066.
ICPR-v2-2000-Caelli #feature model #image #learning #modelling #performance #predict: Learning Image Feature Extraction: Modeling, Tracking and Predicting Human Performance (TC), pp. 2215–2218.
ICPR-v2-2000-ChenSWS #estimation #using: Head Pose Estimation Using both Color and Feature Information (QC, TS, HW, TS), pp. 2842–2841.
ICPR-v2-2000-DuinLH #feature model #linear #multi: Multi-Class Linear Feature Extraction by Nonlinear PCA (RPWD, ML, RHU), pp. 2398–2401.
ICPR-v2-2000-GaoD #algorithm #classification #feature model #on the: On Improvement of Feature Extraction Algorithms for Discriminative Pattern Classification (JG, XD), pp. 2101–2104.
ICPR-v2-2000-GuoM #approach #automation #feature model #hybrid #statistics: Automatic Feature Selection — A Hybrid Statistical Approach (HG, YLM), pp. 2382–2385.
ICPR-v2-2000-HermesB #feature model: Feature Selection for Support Vector Machines (LH, JMB), pp. 2712–2715.
ICPR-v2-2000-HolzL #set #using #validation: Validation of Relative Feature Importance Using a Natural Data Set (HJH, MHL), pp. 2414–2417.
ICPR-v2-2000-Horikawa #2d #3d #image #invariant #similarity: Bispectrum-Based Feature of 2D and 3D Images Invariant to Similarity Transformations (YH), pp. 2511–2514.
ICPR-v2-2000-HwangLBV #re-engineering: Face Reconstruction from a Small Number of Feature Points (BWH, SWL, VB, TV), pp. 2838–2837.
ICPR-v2-2000-LamICTH #approach #multi: A Multi-Window Approach to Classify Histological Features (RWKL, HHSI, KKTC, LHYT, RH), pp. 2259–2262.
ICPR-v2-2000-LeeC #feature model #multi #optimisation #problem: Optimizing Feature Extraction for Multiclass Problems (CL, EC), pp. 2402–2405.
ICPR-v2-2000-LiG #detection #network #optimisation: Combining Feature Optimization into Neural Network Based Face Detection (SZL, QG), pp. 2814–2817.
ICPR-v2-2000-LingC #bound #feature model #performance: Fast and Efficient Feature Extraction Based on Bayesian Decision Boundaries (LLL, HMC), pp. 2390–2393.
ICPR-v2-2000-MalekTA #classification #fault: Effect of the Feature Vector Size on the Generalization Error: The Case of MLPNN and RBFNN Classifiers (JEM, RT, AMA), pp. 2630–2633.
ICPR-v2-2000-PingLK #detection #float #recognition: A Floating Feature Detector for Handwritten Numeral Recognition (ZP, CL, ACK), pp. 2553–2556.
ICPR-v2-2000-RitterS #feature model: Profile and Feature Extraction from Chromosomes (GR, GS), pp. 2287–2290.
ICPR-v2-2000-SchaelS #3d #invariant: Invariant Grey-Scale Features for 3D Sensor-Data (MS, SS), pp. 2531–2535.
ICPR-v2-2000-Schulerud #analysis #bias #fault #feature model #linear: Bias of Error Rates in Linear Discriminant Analysis Caused by Feature Selection and Sample Size (HS), pp. 2372–2377.
ICPR-v2-2000-SmitsA #cost analysis #image #interactive #set: Cost-Based Feature Subset Selection for Interactive Image Analysis (PCS, AA), pp. 2386–2389.
ICPR-v2-2000-SomolP #algorithm #feature model: Oscillating Search Algorithms for Feature Selection (PS, PP), pp. 2406–2409.
ICPR-v2-2000-SongR #image: A Feature Space for Face Image Processing (QS, JR), pp. 2097–2100.
ICPR-v2-2000-TanakaII #evaluation #image #modelling #physics: An Attractiveness Evaluation Model Based on the Physical Features of Image Regions (ST, YI, SI), pp. 2793–2796.
ICPR-v2-2000-TaoLT #pattern matching #pattern recognition #recognition: Extraction of Fractal Feature for Pattern Recognition (YT, ECML, YYT), pp. 2527–2530.
ICPR-v2-2000-UnsalanE #analysis #linear: Shapes of Features and a Modified Measure for Linear Discriminant Analysis (CÜ, AE), pp. 2410–2413.
ICPR-v2-2000-VarstaHMM #human-computer #interface #performance #set: Evaluating the Performance of Three Feature Sets for Brain-Computer Interfaces with an Early Stopping MLP Committee (MV, JH, JdRM, JM), pp. 2907–2910.
ICPR-v2-2000-WangDL #fuzzy #image #recognition: Gray-Scale Character Image Recognition Based on Fuzzy DCT Transform Features (XW, XD, CL), pp. 2235–2238.
ICPR-v2-2000-ZhangDL #classification #design #feature model #multi #recognition: Multi-Scale Feature Extraction and Nested-Subset Classifier Design for High Accuracy Handwritten Character Recognition (JZ, XD, CL), pp. 2581–2584.
ICPR-v2-2000-ZhouLC: A Theoretical Justification of Nearest Feature Line Method (ZZ, SZL, KLC), pp. 2759–2762.
ICPR-v3-2000-AbbadeniZW #visual notation: Autocovariance-based Perceptual Textural Features Corresponding to Human Visual Perception (NA, DZ, SW), pp. 3913–3916.
ICPR-v3-2000-AlbregtsenND #adaptation #distance #matrix: Adaptive Gray Level Run Length Features from Class Distance Matrices (FA, BN, HED), pp. 3746–3749.
ICPR-v3-2000-CarreiraMTH #using: Grouping of Directional Features Using an Extended Hough Transform (MJC, MM, BTT, JFH), pp. 7002–7005.
ICPR-v3-2000-ChantlerM00a: The Response of Texture Features to Illuminant Rotation (MJC, GM), pp. 3955–3958.
ICPR-v3-2000-CostaBG #algorithm #feature model: Level Curve Tracking Algorithm for Textural Feature Extraction (JPDC, PB, CG), pp. 3921–3924.
ICPR-v3-2000-FayolleDRC #detection #multi: A Wavelet Based Multiscale Detection Scheme of Feature Points (JF, CD, LR, SC), pp. 3425–3428.
ICPR-v3-2000-GaoQL #classification #fuzzy: Fuzzy Classification of Generic Edge Features (QG, DQ, SL), pp. 3672–3675.
ICPR-v3-2000-GermainCB #estimation #multi: Multiscale Estimation of Textural Features. Application to the Characterization of Texture Anisotropy (CG, JPDC, PB), pp. 3935–3938.
ICPR-v3-2000-GrigorescuP #graph: Graph-Based Features for Texture Discrimination (CG, NP), pp. 7088–7091.
ICPR-v3-2000-HuangCH00a #2d #analysis #pseudo: Local Spectra Features Extraction Based-On 2D Pseudo-Wigner Distribution for Texture Analysis (ZH, KLC, YH), pp. 3925–3928.
ICPR-v3-2000-Ichimura #feature model #segmentation #using: Motion Segmentation Using Feature Selection and Subspace Method Based on Shape Space (NI), pp. 3858–3864.
ICPR-v3-2000-Ichimura00a #3d #feature model: Token Grouping Based on 3D Motion and Feature Selection in Object Tracking (NI), pp. 7130–7136.
ICPR-v3-2000-KashinoKM #retrieval: Feature Fluctuation Absorption for a Quick Audio Retrieval from Long Recordings (KK, TK, HM), pp. 3102–3105.
ICPR-v3-2000-KimCL #detection #feature model #performance #using: Fast Scene Change Detection Using Direct Feature Extraction from MPEG Compressed Videos (YMK, SWC, SWL), pp. 3178–3181.
ICPR-v3-2000-LeiHR #detection #image #low level: Detecting Generic Low-Level Features in Images (BJL, EAH, MJTR), pp. 3979–3982.
ICPR-v3-2000-MaloFNV #image #representation #statistics: Perceptually and Statistically Decorrelated Features for Image Representation: Application to Transform Coding (JM, FJF, RN, RV), pp. 3242–3245.
ICPR-v3-2000-Papamarkos #network #reduction #using: Using Local Features in a Neural Network Based Gray-Level Reduction Technique (NP), pp. 7037–7040.
ICPR-v3-2000-RoachBM #recognition: Acoustic and Facial Features for Speaker Recognition (MR, JB, JSDM), pp. 3262–3265.
ICPR-v3-2000-SchoutenZ: Fractal Transforms and Feature Invariance (BAMS, PMdZ), pp. 3992–3997.
ICPR-v3-2000-StavrianopoulouA: The Euler Feature Vector (AS, VA), pp. 7034–7036.
ICPR-v3-2000-TodtT #detection #multi: Detection of Natural Landmarks through Multiscale Opponent Features (ET, CT), pp. 3988–3991.
ICPR-v3-2000-ValdesME #analysis #behaviour #case study #image: Behavior Analysis of Fractal Features for Texture Description in Digital Images: An Experimental Study (JJV, LCM, SE), pp. 3917–3920.
ICPR-v3-2000-VandenbrouckeMP #classification #image #segmentation: Color Image Segmentation by Supervised Pixel Classification in a Color Texture Feature Space: Application to Soccer Image Segmentation (NV, LM, JGP), pp. 3625–3628.
ICPR-v3-2000-WestT #refinement: Assessing Different Features for Pose Refinement (GAWW, ET), pp. 3687–3690.
ICPR-v3-2000-ZhangGST #adaptation #analysis #modelling #using: Model-Based Nonrigid Motion Analysis Using Natural Feature Adaptive Mesh (YZ, DBG, SS, LVT), pp. 3839–3843.
ICPR-v4-2000-BolterL #detection #re-engineering: Detection and Reconstruction of Human Scale Features from High Resolution Interferometric SAR Data (RB, FL), pp. 4291–4294.
ICPR-v4-2000-CordellaTV #clustering: Combining Experts with Different Features for Classifying Clustered Microcalcifications in Mammograms (LPC, FT, MV), pp. 4324–4327.
ICPR-v4-2000-Egmont-PetersenFNHBVR #image #multi #network #segmentation #using: Segmentation of Bone Tumor in MR Perfusion Images Using Neural Networks and Multiscale Pharmacokinetic Features (MEP, AFF, WJN, PCWH, JLB, MAV, JHCR), pp. 4080–4083.
ICPR-v4-2000-HachimuraT #composition #image #interactive #query #retrieval #specification: Image Retrieval Based on Compositional Features and Interactive Query Specification (KH, AT), pp. 4262–4266.
ICPR-v4-2000-HeisterkampPD #image #learning #query #retrieval: Feature Relevance Learning with Query Shifting for Content-Based Image Retrieval (DRH, JP, HKD), pp. 4250–4253.
ICPR-v4-2000-ImagawaMTALI #recognition: Recognition of Local Features for Camera-Based Sign Language Recognition System (KI, HM, RiT, DA, SL, SI), pp. 4849–4853.
ICPR-v4-2000-KawataNOKKKMMNE #analysis: Computerized Analysis of Pulmonary Nodules in Topological and Histogram Feature Spaces (YK, NN, HO, RK, MK, MK, NM, KM, HN, KE), pp. 4332–4335.
ICPR-v4-2000-KhorsheedC #multi #recognition #using #word: Multi-Font Arabic Word Recognition Using Spectral Features (MSK, WFC), pp. 4543–4546.
ICPR-v4-2000-KoLB #feature model #image #performance #retrieval #using: Region-Based Image Retrieval System Using Efficient Feature Description (BK, HSL, HB), pp. 4283–4286.
ICPR-v4-2000-PuigTN #detection #navigation: Features Detection and Navigation on Neurovascular Trees (AP, DT, IN), pp. 4076–4079.
ICPR-v4-2000-WolfKBJ #image #retrieval #using: Content Based Image Retrieval Using Interest Points and Texture Features (CW, WGK, HB, JMJ), pp. 4234–4237.
KDD-2000-DyB #feature model #interactive #visualisation: Visualization and interactive feature selection for unsupervised data (JGD, CEB), pp. 360–364.
KDD-2000-KimSM #feature model #learning #search-based: Feature selection in unsupervised learning via evolutionary search (YK, WNS, FM), pp. 365–369.
SIGIR-2000-Aizawa: The feature quantity: an information theoretic perspective of Tfidf-like measure (ANA), pp. 104–111.
SIGIR-2000-HatzivassiloglouGM #algorithm #clustering #documentation #topic: An investigation of linguistic features and clustering algorithms for topical document clustering (VH, LG, AM), pp. 224–231.
OOPSLA-2000-ViroliN #approach #java #morphism #parametricity #polymorphism: Parametric polymorphism in Java: an approach to translation based on reflective features (MV, AN), pp. 146–165.
SAC-2000-BaldwinMP #analysis #feature model #semantics: Semantic Discrimination Analysis for Feature Selection (JFB, TPM, CP), pp. 519–523.
SAC-2000-JurisicaG #image #reasoning #using: Extending Case-Based Reasoning by Discovering and Using Image Features in IVF (IJ, JIG), pp. 52–59.
FSE-2000-HayA #interactive: Composing features and resolving interactions (JDH, JMA), pp. 110–119.
ICSE-2000-KarlssonAL #development #distributed #scalability: Daily build and feature development in large distributed projects (EAK, LGA, PL), pp. 649–658.
SPLC-2000-Griss #aspect-oriented #implementation #product line: Implementing Product-line features by composing aspects (MLG), pp. 271–289.
SPLC-2000-HeinSV #feature model #industrial #modelling: Applying feature models in industrial settings (AH, MS, RVM), pp. 47–70.
CL-2000-Pallotta #composition #logic #logic programming #semantics #source code: A Meta-logical Semantics for Features and Fluents Based on Compositional Operators over Normal Logic Programs (VP), pp. 777–791.
ICDAR-1999-AmanoM #documentation #image: A Feature Calibration Method for Watermarking of Document Images (TA, DM), pp. 91–94.
ICDAR-1999-JobbinsE #documentation #multi #using: Segmenting Documents using Multiple Lexical Features (ACJ, LJE), pp. 721–724.
ICDAR-1999-KameshiroHOY #documentation #fault #image #multi #recognition #retrieval #segmentation #using: A Document Image Retrieval Method Tolerating Recognition and Segmentation Errors of OCR using Shape-Feature and Multiple Candidates (TK, TH, YO, FY), pp. 681–684.
ICDAR-1999-KavianifarA #feature model #multi #preprocessor: Preprocessing and Structural Feature Extraction for a Multi-Fonts Arabic/Persian OCR (MK, AA), pp. 213–216.
ICDAR-1999-NishimuraKMN #algorithm #feature model #multi #recognition #using: Off-line Character Recognition using HMM by Multiple Directional Feature Extraction and Voting with Bagging Algorithm (HN, MK, MM, YN), pp. 49–52.
ICDAR-1999-OkamotoY #online #recognition #using: On-line Handwritten Character Recognition Method using Directional Features and Clockwise/Counterwise Direction-Change Features (MO, KY), pp. 491–494.
ICDAR-1999-TangT #feature model: Feature Extraction by Fractal Dimensions (YYT, YT), pp. 217–220.
ICDAR-1999-TaoT #feature model: The Feature Extraction of Chinese Character based on Contour Information (YT, YYT), pp. 637–640.
ICDAR-1999-VaidyaDGS #approach #documentation #feature model #recognition #statistics: Statistical Approach to Feature Extraction for Numeral Recognition from Degraded Documents (VV, VD, DG, BS), pp. 273–276.
ICDAR-1999-XiLT #novel: A Novel Method for Discriminating between Oriental and European Languages by Fractal Features (DX, SWL, YYT), pp. 345–348.
ICDAR-1999-YamazakiMK: Extraction of Personal Features from Stroke Shape, Writing Pressure and Pen Inclination in Ordinary Characters (YY, YM, NK), pp. 426–429.
ITiCSE-1999-KoffmanW #java #using: CS1 using Java language features gently (EBK, UW), pp. 40–43.
CSMR-1999-TaschwerRM #c #generative: Generating Objects from C Code — Features of the CORET Tool-Set (MT, DRR, RM), pp. 91–101.
ICSM-1999-ZhouB #ada #source code #using: Extracting Objects of Ada Programs Using Module Features (YZ, BX), p. 23–?.
FM-v1-1999-Bousquet #case study #detection #experience #feature model #interactive #model checking #testing #using: Feature Interaction Detection Using Testing and Model-Checking Experience Report (LdB), pp. 622–641.
IFM-1999-GibsonHM #integration #problem #requirements: Integration Problems in Telephone Feature Requirements (JPG, GWH, DM), pp. 129–148.
HCI-CCAD-1999-BookG #interface: Mental effort increases when adding a voice control feature to a familiar interface (RB, MG), pp. 23–27.
HCI-CCAD-1999-Womser-HackerM #adaptation #documentation #information retrieval: Adapting meta information retrieval to user preferences and document features (CWH, TM), pp. 604–608.
HCI-CCAD-1999-WuC #case study #community #design #web: Cultural and cultivation features on web designing: a case study of gold peach community (TXW, YLC), pp. 66–70.
CIKM-1999-SwanA: Extracting Significant Time Varying Features from Text (RCS, JA), pp. 38–45.
ICML-1999-MladenicG #feature model #naive bayes: Feature Selection for Unbalanced Class Distribution and Naive Bayes (DM, MG), pp. 258–267.
ICML-1999-ScottM #classification #re-engineering: Feature Engineering for Text Classification (SS, SM), pp. 379–388.
ICML-1999-Talavera #clustering #feature model #preprocessor: Feature Selection as a Preprocessing Step for Hierarchical Clustering (LT), pp. 389–397.
KDD-1999-LeshZO #classification #mining #sequence: Mining Features for Sequence Classification (NL, MJZ, MO), pp. 342–346.
MLDM-1999-PalenichkaV #image #multi #using: Extraction of Local Structural Features in Images by Using a Multi-scale Relevance Function (RMP, MAV), pp. 87–102.
MLDM-1999-PengB #analysis #image #independence #retrieval: Independent Feature Analysis for Image Retrieval (JP, BB), pp. 103–115.
TOOLS-USA-1999-Pour #component #development #enterprise #java #quality: Quality Component Development: Making the Most of JavaBeans and Enterprise JavaBeans Features (GP), pp. 427–437.
TOOLS-USA-1999-Wasserman #tool support #uml: Features of UML Tools (TW), p. 522.
HPCA-1999-HilyS #effectiveness #execution #multi #thread: Out-of-Order Execution may not be Cost-Effective on Processors Featuring Simultaneous Multithreading (SH, AS), pp. 64–67.
ICLP-1999-Penn #encoding #prolog: An Optimized Prolog Encoding of Typed Feature Structures (GP), pp. 124–138.
ITiCSE-1998-DybdahlST #animation #on the: On animation features of Excel (AD, ES, JT), pp. 77–80.
FLOPS-1998-Hinze #axiom #functional #implementation #prolog: Prological Features in a Functional Setting Axioms and Implementation (RH), pp. 98–122.
CHI-1998-LohseS #design #user interface: Quantifying the Effect of User Interface Design Features on Cyberstore Traffic and Sales (GLL, PS), pp. 211–218.
SIGAda-1998-BarkatakiHD #design pattern #legacy #object-oriented #re-engineering #using: Reengineering a Legacy System Using Design Patterns and Ada-95 Object-Oriented Features (SB, SH, TD), pp. 148–152.
SIGAda-1998-Brosgol #ada #comparison #concurrent #java: A Comparison of the Concurrency Features of Ada 95 and Java (BMB), pp. 175–192.
CIKM-1998-PapkaA #classification #documentation #multi #using: Document Classification Using Multiword Features (RP, JA), pp. 124–131.
ICML-1998-Bay #classification #multi #nearest neighbour #set: Combining Nearest Neighbor Classifiers Through Multiple Feature Subsets (SDB), pp. 37–45.
ICML-1998-BradleyM #feature model: Feature Selection via Concave Minimization and Support Vector Machines (PSB, OLM), pp. 82–90.
ICML-1998-Ng #feature model #learning #on the: On Feature Selection: Learning with Exponentially Many Irrelevant Features as Training Examples (AYN), pp. 404–412.
ICPR-1998-ArikiS #classification #multi #using: Classification of TV sports news by DCT features using multiple subspace method (YA, YS), pp. 1488–1491.
ICPR-1998-ChetverikovV #algorithm: Tracking feature points: a new algorithm (DC, JV), pp. 1436–1438.
ICPR-1998-EglinBE #complexity #using #visual notation: Printed text featuring using the visual criteria of legibility and complexity (VE, SB, HE), pp. 942–944.
ICPR-1998-FanC #documentation #identification #using: Form document identification using line structure based features (KCF, MLC), pp. 1098–1100.
ICPR-1998-FunadaOMTNMSWY #feature model: Feature extraction method for palmprint considering elimination of creases (JiF, NO, MM, TT, KN, AM, TS, TW, YY), pp. 1849–1854.
ICPR-1998-Gavrila #distance #multi #using: Multi-feature hierarchical template matching using distance transforms (DMG), pp. 439–444.
ICPR-1998-HatteryL #analysis #image #physics: Depth from physics: physics-based image analysis and feature definition (DH, MHL), pp. 711–713.
ICPR-1998-HickinbothamHA #learning: Learning feature characteristics (SJH, ERH, JA), pp. 1160–1164.
ICPR-1998-HiranoHOMTE #3d #image: Three dimensional concentration index-a local feature for analyzing three dimensional digital line patterns and its application to chest X-ray CT images (YH, JiH, HO, YM, JiT, KE), pp. 1040–1043.
ICPR-1998-HyvarinenOHH #analysis #component #feature model #image #independence: Image feature extraction by sparse coding and independent component analysis (AH, EO, POH, JH), pp. 1268–1273.
ICPR-1998-KadyrovP98a #invariant: The trace transform as a tool to invariant feature construction (AK, MP), pp. 1037–1039.
ICPR-1998-KimKA #feature model: Feature extraction of edge by directional computation of gray-scale variation (KCK, DYK, JKA), pp. 1022–1027.
ICPR-1998-KogaKSF #analysis #segmentation #using: Segmentation of Japanese handwritten characters using peripheral feature analysis (MK, TK, HS, HF), pp. 1137–1141.
ICPR-1998-KruizingaP #segmentation: Grating cell operator features for oriented texture segmentation (PK, NP), pp. 1010–1014.
ICPR-1998-LashkiaA #classification #performance: Test feature classifiers: performance and application (VL, SA), pp. 341–343.
ICPR-1998-LimC #database #generative #multi #network: Neural network based feature space generation for multiple databases of handwritten numerals (KTL, SIC), pp. 375–377.
ICPR-1998-LuC #segmentation: Wold features for unsupervised texture segmentation (CSL, PCC), pp. 1689–1693.
ICPR-1998-NieuwoudtB #classification #performance #using: Relative performance of correlation-based and feature-based classifiers of aircraft using radar range profiles (CN, ECB), pp. 1828–1832.
ICPR-1998-OhLS #analysis #using: Using class separation for feature analysis and combination of class-dependent features (ISO, JSL, CYS), pp. 453–455.
ICPR-1998-OhtaSN #feature model #modelling #recognition #using: Recognition of facial expressions using muscle-based feature models (HO, HS, HN), pp. 1379–1381.
ICPR-1998-OkamotoNY #online #recognition: Direction-change features of imaginary strokes for on-line handwriting character recognition (MO, AN, KY), pp. 1747–1751.
ICPR-1998-OtsukaHSF #feature model: Feature extraction of temporal texture based on spatiotemporal motion trajectory (KO, TH, SS, MF), pp. 1047–1051.
ICPR-1998-PanditKM #independence #verification: Selection of speaker independent feature for a speaker verification system (MP, JK, JM), pp. 1034–1036.
ICPR-1998-Pinto-EliasS #automation #detection: Automatic facial feature detection and location (RPE, JHSA), pp. 1360–1364.
ICPR-1998-PramadihantoIY #automation #detection #flexibility: A flexible feature matching for automatic face and facial feature points detection (DP, YI, MY), pp. 92–95.
ICPR-1998-RohrerGPB #feature model #recognition: Feature selection in melanoma recognition (RR, HG, AP, MB), pp. 1668–1670.
ICPR-1998-SchutzJH #3d #algorithm #for free #multi: Multi-feature matching algorithm for free-form 3D surface registration (CS, TJ, HH), pp. 982–984.
ICPR-1998-SofferS #similarity #using: Using negative shape features for logo similarity matching (AS, HS), pp. 571–573.
ICPR-1998-SukanyaTS #classification #image #multi #using: Image classification using the surface-shape operator and multiscale features (PS, RT, MS), pp. 334–337.
ICPR-1998-SunOA #algorithm #multi #recognition #taxonomy: An algorithm for constructing a multi-template dictionary for character recognition considering distribution of feature vectors (FS, SO, HA), pp. 1114–1116.
ICPR-1998-SvalbeE #image #locality #metric #rank #using: Localisation of image features using measures of rank distribution (IDS, CJE), pp. 189–191.
ICPR-1998-TsengL #recognition: Interfered-character recognition by removing interfering-lines and adjusting feature weights (YHT, HJL), pp. 1865–1867.
ICPR-1998-UchidaKMT #classification #integration #statistics: Fingerprint card classification with statistical feature integration (KU, TK, MM, TT), pp. 1833–1839.
ICPR-1998-Ude #estimation #optimisation: Nonlinear least squares optimisation of unit quaternion functions for pose estimation from corresponding features (AU), pp. 425–427.
ICPR-1998-WarkSC #approach #feature model #identification #modelling #statistics: An approach to statistical lip modelling for speaker identification via chromatic feature extraction (TW, SS, VC), pp. 123–125.
KDD-1998-KontkanenMST #classification #feature model #named: BAYDA: Software for Bayesian Classification and Feature Selection (PK, PM, TS, HT), pp. 254–258.
SIGIR-1998-FranzR #correlation #query: A Method for Scoring Correlated Features in Query Expansion (MF, SR), pp. 337–338.
SIGIR-1998-LaiT #image #retrieval #using: Using Global Colour Features for General Photographic Image Indexing and Retrieval (TSL, JT), pp. 349–350.
LICS-1998-MullerNT #constraints #first-order: The First-Order Theory of Ordering Constraints over Feature Trees (MM, JN, RT), pp. 432–443.
RTA-1998-MullerN #constraints #higher-order #logic #monad: Ordering Constraints over Feature Trees Expressed in Second-Order Monadic Logic (MM, JN), pp. 196–210.
ICDAR-1997-AnisimovichRST #classification #recognition #using: Using Combination of Structural, Feature and Raster Classifiers for Recognition of Handprinted Characters (KA, VR, AS, VT), pp. 881–885.
ICDAR-1997-Caesar #recognition: New Features for Chinese Character Recognition (TC), pp. 592–595.
ICDAR-1997-ChangLP #algorithm #analysis: Line sweep thinning algorithm for feature analysis (FC, YCL, TP), pp. 123–127.
ICDAR-1997-ChenDW #recognition: Off-line Handwritten Chinese Character Recognition Based on Crossing Line Feature (YC, XD, YW), pp. 206–210.
ICDAR-1997-ChungY #comparison #feature model #performance #recognition: Performance comparison of several feature selection methods based on node pruning in handwritten character recognition (KC, JY), pp. 11–15.
ICDAR-1997-DingLS #classification #using: Classification of Oriental and European Scripts by Using Characteristic Features (JD, LL, CYS), pp. 1023–1027.
ICDAR-1997-Horiuchi #classification: Pattern Classification Method by Integrating Interval Feature Values (TH), pp. 847–850.
ICDAR-1997-KashiHNT #markov #online #using #verification: On-line Handwritten Signature Verification using Hidden Markov Model Features (RSK, JH, WLN, WT), pp. 253–257.
ICDAR-1997-KaufmannBH #reduction: Lexicon Reduction in an HMM-Framework Based on Quantized Feature Vectors (GK, HB, MH), pp. 1097–1101.
ICDAR-1997-LiOHG #component #graph #relational: Recognizing components of handwritten characters by attributed relational graphs with stable features (XL, WGO, JH, WG), pp. 616–620.
ICDAR-1997-LiuKK #recognition: High Accuracy Handwritten Chinese Character Recognition by Improved Feature Matching Method (CLL, IJK, JHK), pp. 1033–1037.
ICDAR-1997-MenierL #self: Lexical Analyzer based on a Self-Organizing Feature Map (GM, GL), pp. 1067–1071.
ICDAR-1997-MiuraSM #recognition: A method of extracting curvature features and its application to handwritten character recognition (KTM, RS, SM), pp. 450–454.
ICDAR-1997-Nishida #bound #documentation #feature model #image: Boundary Feature Extraction from Gray-Scale Document Images (HN), pp. 132–141.
ICDAR-1997-OhS #distance #recognition: A Feature for Character Recognition Based on Directional Distance Distributions (ISO, CYS), pp. 288–292.
ICDAR-1997-OkamotoY #online #recognition: On-line handwriting character recognition method with directional features and direction-change features (MO, KY), pp. 926–930.
ICDAR-1997-RazaHSW #database #documentation #recognition #robust #using: Recognition of Facsimile Documents using a Database of Robust Features (GR, AH, NS, RJW), p. 444–?.
ICDAR-1997-Soffer #categorisation #image #using: Image Categorization Using Texture Features (AS), pp. 233–237.
ICDAR-1997-Yamada #feature model #recognition: Non-uniformly Sampled Feature Extraction Method for Kanji Character Recognition (KY), pp. 200–205.
HCI-CC-1997-Sandkuhl: Features of Successful Telecooperation Systems: The Technological Viewpoint (KS), pp. 301–304.
AdaEurope-1997-CheungCC #integration #object-oriented #towards: Towards an Integration of Syntactic Constructs and Structural Features for Formalised Object-Oriented Methods (KSC, PKOC, TYC), pp. 173–184.
TRI-Ada-1997-Brosgol #ada #comparison #java #object-oriented: A Comparison of the Object-Oriented Features of Ada 95 and Java (BMB), pp. 213–229.
ACIR-1997-Moulinier #feature model #preprocessor: Feature Selection: A Useful Preprocessing Step (IM).
ICML-1997-AskerM #case study #classification #detection #re-engineering: Feature Engineering and Classifier Selection: A Case Study in Venusian Volcano Detection (LA, RM), pp. 3–11.
ICML-1997-CardieN #predict #using: Improving Minority Class Prediction Using Case-Specific Feature Weights (CC, NN), pp. 57–65.
ICML-1997-DevaneyR #clustering #concept #feature model #performance: Efficient Feature Selection in Conceptual Clustering (MD, AR), pp. 92–97.
ICML-1997-VilaltaR #classification #induction #multi: Integrating Feature Construction with Multiple Classifiers in Decision Tree Induction (RV, LAR), pp. 394–402.
ICML-1997-YangP #case study #categorisation #comparative #feature model: A Comparative Study on Feature Selection in Text Categorization (YY, JOP), pp. 412–420.
KDD-1997-StoughB #image #multi #reduction: Image Feature Reduction through Spoiling: Its Application to Multiple Matched Filters for Focus of Attention (TMS, CEB), pp. 255–258.
KDD-1997-WangS: Selecting Features by Vertical Compactness of Data (KW, SS), pp. 275–278.
SIGIR-1997-Merkl: Exploration of Text Collections with Hierarchical Feature Maps (DM), pp. 186–195.
SIGIR-1997-NgGL #case study #categorisation #feature model #learning #usability: Feature Selection, Perceptron Learning, and a Usability Case Study for Text Categorization (HTN, WBG, KLL), pp. 67–73.
ECOOP-1997-Prehofer #feature model #fresh look #programming: Feature-Oriented Programming: A Fresh Look at Objects (CP), pp. 419–443.
VLDB-1996-ChatziantoniouR #database #multi #query #relational: Querying Multiple Features of Groups in Relational Databases (DC, KAR), pp. 295–306.
AdaEurope-1996-BliebergerLB #ada #realtime: Augmenting Ada 95 with Additional Real-Time Features (JB, RL, BB), pp. 330–341.
CAiSE-1996-Motschnig-PitrikM #abstraction #semantics: Semantics, Features, and Applications of the Viewpoint Abstraction (RMP, JM), pp. 514–539.
CIKM-1996-LehnerRT #database #multi #named #statistics: CROSS-DB: A Feature-Extended Multidimensional Data Model for Statistical and Scientific Databases (WL, TR, MT), pp. 253–260.
ICML-1996-AkkusG #classification #nearest neighbour: K Nearest Neighbor Classification on Feature Projections (AA, HAG), pp. 12–19.
ICML-1996-KollerS #feature model #towards: Toward Optimal Feature Selection (DK, MS), pp. 284–292.
ICML-1996-LiuS #approach #feature model #probability: A Probabilistic Approach to Feature Selection — A Filter Solution (HL, RS), pp. 319–327.
ICPR-1996-ArdizzoneCGV #database #image #video: Content-based indexing of image and video databases by global and shape features (EA, MLC, VDG, CV), pp. 140–144.
ICPR-1996-ArimuraH #design #image #recognition: Feature space design for image recognition with image screening (KA, NH), pp. 261–265.
ICPR-1996-AzarbayejaniP #3d #estimation #realtime #self #using: Real-time self-calibrating stereo person tracking using 3-D shape estimation from blob features (AA, AP), pp. 627–632.
ICPR-1996-BhattacharyaCP #segmentation #set: An MLP-based texture segmentation technique which does not require a feature set (UB, BBC, SKP), pp. 805–809.
ICPR-1996-BimboP96a #image #using #visual notation: Image indexing using shape-based visual features (ADB, PP), pp. 351–355.
ICPR-1996-BollackerG #linear: Linear feature extractors based on mutual information (KDB, JG), pp. 720–724.
ICPR-1996-ChenHW #feature model #geometry #image #modelling #recognition #using: Model-based object recognition using range images by combining morphological feature extraction and geometric hashing (CSC, YPH, JLW), pp. 565–569.
ICPR-1996-Chetverikov #algorithm #interactive #performance: Structural filtering with texture feature-based interaction maps: fast algorithm and applications (DC), pp. 795–799.
ICPR-1996-ChetverikovLKH #classification #using: Zone classification using texture features (DC, JL, JK, RMH), pp. 676–680.
ICPR-1996-ChiangG #feature model #framework #hybrid #recognition: A hybrid feature extraction framework for handwritten numeric fields recognition (JHC, PDG), pp. 436–440.
ICPR-1996-ChiuT #algorithm: A feature-preserved thinning algorithm for handwritten Chinese characters (HPC, DCT), pp. 235–239.
ICPR-1996-Fainzilberg #recognition #statistics #why: Why relevant features may be unuseful in statistical recognition of two classes (LF), pp. 730–734.
ICPR-1996-HamamotoUWYT #recognition #using: Recognition of handwritten numerals using Gabor features (YH, SU, MW, TY, ST), pp. 250–253.
ICPR-1996-HerpersMSW #detection: Context based detection of keypoints and features in eye regions (RH, MM, GS, LW), pp. 23–28.
ICPR-1996-HeutteMPLO #recognition #statistics: Combining structural and statistical features for the recognition of handwritten characters (LH, JVM, TP, YL, CO), pp. 210–214.
ICPR-1996-JengLLC #approach #detection #geometry #performance #using: An efficient approach for facial feature detection using geometrical face model (SHJ, HYML, YTL, MYC), pp. 426–430.
ICPR-1996-KimuraWM #feature model #on the #problem: On feature extraction for limited class problem (FK, TW, YM), pp. 191–194.
ICPR-1996-LernerGADR #classification #feature model #network: Feature extraction by neural network nonlinear mapping for pattern classification (BL, HG, MA, ID, YR), pp. 320–324.
ICPR-1996-LiM #3d #estimation: 3D pose estimation from an n-degree planar curved feature in two perspective views (LL, SM), pp. 374–377.
ICPR-1996-LuettinTB #speech: Locating and tracking facial speech features (JL, NAT, SWB), pp. 652–656.
ICPR-1996-Matalas #approximate #image #multi #set: A new set of multiscale texture features based on B-spline image approximation (IM), pp. 810–814.
ICPR-1996-Nouza #feature model #markov #modelling #recognition #speech: Feature selection methods for hidden Markov model-based speech recognition (JN), pp. 186–190.
ICPR-1996-PietikainenNMO #classification: Accurate color discrimination with classification based on feature distributions (MP, SN, EM, TO), pp. 833–838.
ICPR-1996-Polikarpova #analysis #on the: On the fractal features in fingerprint analysis (NP), pp. 591–595.
ICPR-1996-RoblesE #evaluation: The importance of feature visibility for the evaluation of a matching hypothesis (LAR, WE), pp. 585–589.
ICPR-1996-RudshteinL #recognition #reliability: Quantifying the reliability of feature-based object recognition (AR, ML), pp. 35–39.
ICPR-1996-SaberT #cost analysis #detection #feature model #symmetry #using: Face detection and facial feature extraction using color, shape and symmetry-based cost functions (ES, AMT), pp. 654–658.
ICPR-1996-SakaguchiM #feature model #recognition: Face feature extraction from spatial frequency for dynamic expression recognition (TS, SM), pp. 451–455.
ICPR-1996-SakoS #realtime #recognition: Real-time facial expression recognition based on features’ positions and dimensions (HS, AVWS), pp. 643–648.
ICPR-1996-SenguptaB #clustering #using: Using spectral features for modelbase partitioning (KS, KLB), pp. 65–69.
ICPR-1996-Singh #detection #recognition #using: Shape detection using gradient features for handwritten character recognition (SPS), pp. 145–149.
ICPR-1996-SobottkaP #using: Extraction of facial regions and features using color and shape information (KS, IP), pp. 421–425.
ICPR-1996-StevensB #3d #multi #predict #recognition: Interleaving 3D model feature prediction and matching to support multi-sensor object recognition (MRS, JRB), pp. 607–611.
ICPR-1996-SugiyamaA #analysis #multi: Edge feature analysis by a vectorized feature extractor and in multiple edges (TS, KA), pp. 280–284.
ICPR-1996-SuL #geometry #recognition: Face recognition by feature orientation and feature geometry matching (CLS, CL), pp. 401–405.
ICPR-1996-TorkarP #feature model #image: Feature extraction from aerial images and structural stereo matching (DT, NP), pp. 880–884.
ICPR-1996-VinodM #using: Object location using complementary color features: histogram and DCT (VVV, HM), pp. 554–559.
ICPR-1996-WalkerJ #analysis #geometry #statistics: Statistical geometric features-extensions for cytological texture analysis (RFW, PTJ), pp. 790–794.
ICPR-1996-WangRNBJ: A generalized expansion matching based feature extractor (ZW, KRR, DN, JBA, NJ), pp. 29–33.
ICPR-1996-Webb #feature model #multi #scalability #using: Nonlinear feature extraction with radial basis functions using a weighted multidimensional scaling stress measure (ARW), pp. 635–639.
ICPR-1996-West #refinement #verification: Assessing feature importance for verification and pose refinement (GAWW), pp. 30–34.
ICPR-1996-WindeattT #feature model: Analytical feature extraction and spectral summation (TW, RT), pp. 315–319.
ICPR-1996-WuCY96a #feature model #verification: Facial feature extraction and face verification (HW, QC, MY), pp. 484–488.
ICPR-1996-XuanCW #distance #feature model: Bhattacharyya distance feature selection (GX, PC, MW), pp. 195–199.
ICPR-1996-Yamakawa #feature model #learning #recognition: Matchability-oriented feature selection for recognition structure learning (HY), pp. 123–127.
ICPR-1996-ZongkerJ #algorithm #evaluation #feature model: Algorithms for feature selection: An evaluation (DEZ, AKJ), pp. 18–22.
ICPR-1996-ZribiFG #3d #analysis #invariant #set: Set of invariant features for three-dimensional gray-level objects by harmonic analysis (MZ, HF, FG), pp. 549–553.
KDD-1996-IttnerS #generative: Discovery of Relevant New Features by Generating Non-Linear Decision Trees (AI, MS), pp. 108–113.
KDD-1996-KohaviS: Error-Based and Entropy-Based Discretization of Continuous Features (RK, MS), pp. 114–119.
KDD-1996-RicheldiL #effectiveness #feature model: Performing Effective Feature Selection by Investigating the Deep Structure of the Data (MR, PLL), pp. 379–383.
SIGIR-1996-HanM #automation #image #retrieval: Image Organization and Retrieval with Automatically Constructed Feature Vectors (KAH, SHM), pp. 157–165.
ISSTA-1996-JacksonD #design #detection: Elements of Style: Analyzing a Software Design Feature with a Counterexample Detector (DJ, CD), pp. 239–249.
ISSTA-1996-PomakisA #analysis #feature model #interactive #reachability: Reachability Analysis of Feature Interactions: A Progress Report (KPP, JMA), pp. 216–223.
KBSE-1995-PenixBA #classification #component #retrieval #reuse #semantics #using: Classification and Retrieval of Reusable Components Using Semantic Features (JP, PB, PA), pp. 131–138.
ICDAR-v1-1995-BlandoKN #image #predict #using: Prediction of OCR accuracy using simple image features (LRB, JK, TAN), pp. 319–322.
ICDAR-v1-1995-HanS #identification: Signature identification via local association of features (KH, IKS), pp. 187–190.
ICDAR-v1-1995-LiuDL #identification: Extracting individual features from moments for Chinese writer identification (CLL, RWD, YJL), pp. 438–441.
ICDAR-v1-1995-RaoA #approach: Telugu script recognition-a feature based approach (PVSR, TMA), pp. 323–326.
ICDAR-v1-1995-UtschickNKSN #classification #evaluation #feature model #network: The evaluation of feature extraction criteria applied to neural network classifiers (WU, PN, CK, AS, JAN), pp. 315–318.
ICDAR-v1-1995-Yamada #recognition: Optimal sampling intervals for Gabor features and printed Japanese character recognition (KY), pp. 150–153.
ICDAR-v2-1995-AudouinS #incremental #recognition: Incremental character recognition with feature attribution (RA, LS), pp. 837–840.
ICDAR-v2-1995-FanLW #approach #clustering #documentation #segmentation: A feature point clustering approach to the segmentation of form documents (KCF, JML, JYW), pp. 623–626.
ICDAR-v2-1995-HamamotoUMT #recognition #using: Recognition of handprinted Chinese characters using Gabor features (YH, SU, KM, ST), pp. 819–823.
ICDAR-v2-1995-JungN #classification #design: Joint feature and classifier design for OCR (DMJ, GN), pp. 1115–1118.
ICDAR-v2-1995-KimPK #online #personalisation #set #verification: Applying personalized weights to a feature set for on-line signature verification (SHK, MSP, JK), pp. 882–885.
ICDAR-v2-1995-MalaviyaP #fuzzy: Extracting meaningful handwriting features with fuzzy aggregation method (AM, LP), pp. 841–844.
ICDAR-v2-1995-SauvolaP #analysis #classification #feature model #performance #segmentation #using: Page segmentation and classification using fast feature extraction and connectivity analysis (JJS, MP), pp. 1127–1131.
ICDAR-v2-1995-SivaramakrishnanPHSH #classification #documentation #generative #using: Zone classification in a document using the method of feature vector generation (RS, ITP, JH, SS, RMH), pp. 541–544.
SIGMOD-1995-Team95b #file system #named: SHORE: Combining the Best Features of OODBMS and File Systems, p. 486.
WCRE-1995-HarrisYR #architecture #source code: Recognizers for Extracting Architectural Features from Source Code (DRH, ASY, HBR).
TRI-Ada-1995-BarbeyKS #ada #object-oriented #programming: Advanced Object-Oriented Features and Programming in Ada 95 (SB, MK, AS), pp. 359–489.
ICML-1995-DoughertyKS: Supervised and Unsupervised Discretization of Continuous Features (JD, RK, MS), pp. 194–202.
KDD-1995-KohaviS #set #using: Feature Subset Selection Using the Wrapper Method: Overfitting and Dynamic Search Space Topology (RK, DS), pp. 192–197.
KDD-1995-SeshadriSW #data mining #feature model #mining: Feature Extraction for Massive Data Mining (VS, RS, SMW), pp. 258–262.
SEKE-1995-Borstler #classification #feature model #reuse: Feature-Oriented Classification for Software Reuse (JB), pp. 204–211.
SIGIR-1995-Finch #documentation #partial order #representation: Partial Orders for Document Representation: A New Methodology for Combining Document Features (SF), pp. 264–272.
ESEC-1995-ZellerS #logic #set: Handling Version Sets Through Feature Logic (AZ, GS), pp. 191–204.
DAC-1994-LeviaMR #analysis #design: Lessons in Language Design: Cost/Benefit analysis of VHDL Features (OL, SM, JR), pp. 447–453.
SIGMOD-1994-Pirahesh #object-oriented: Object-Oriented Features of DB2 Client/Server (HP), p. 483.
TRI-Ada-1994-GieringMB #ada #library #runtime: Features of the GNU Ada Runtime Library (EWG, FM, TPB), pp. 93–103.
CAiSE-1994-JarzabekT #modelling #multi #re-engineering #reuse: Modeling Multiple Views of Common Features in Software Reengineering for Reuse (SJ, CLT), pp. 269–282.
CIKM-1994-LeeW #identification #image #retrieval: Computer Image Retrieval by Features: Selecting the Best Facial Features for Suspect Identification Systems (ESL, TW), pp. 105–111.
ICML-1994-JohnKP #problem #set: Irrelevant Features and the Subset Selection Problem (GHJ, RK, KP), pp. 121–129.
ICML-1994-Skalak #algorithm #feature model #prototype #random: Prototype and Feature Selection by Sampling and Random Mutation Hill Climbing Algorithms (DBS), pp. 293–301.
KDD-1994-AronisP #induction #machine learning #relational: Efficiently Constructing Relational Features from Background Knowledge for Inductive Machine Learning (JMA, FJP), pp. 347–358.
SIGIR-1994-ConradU #database #feature model: A System for Discovering Relationships by Feature Extraction from Text Databases (JGC, MHU), pp. 260–270.
ICDAR-1993-Bai #multi #recognition #using: Multifont Chinese character recognition using side-stroke-end feature (GB), pp. 794–797.
ICDAR-1993-CaesarGM #feature model #preprocessor #recognition: Preprocessing and feature extraction for a handwriting recognition system (TC, JMG, EM), pp. 408–411.
ICDAR-1993-ChhabraABCLSSW #geometry #higher-order #recognition #statistics: High-order statistically derived combinations of geometric features for handprinted character recognition (AKC, ZA, DB, GC, KL, PS, RS, BW), pp. 397–401.
ICDAR-1993-HamanakaYT #feature model #online #recognition: On-line Japanese character recognition experiments by an off-line method based on normalization-cooperated feature extraction (MH, KY, JT), pp. 204–207.
ICDAR-1993-HeutteMPPL #multi #recognition: Handwritten numeral recognition based on multiple feature extractors (LH, JVM, BP, JLP, YL), pp. 167–170.
ICDAR-1993-Nishida #feature model #multi #recognition: Structural feature extraction on multiple bases with application to handwritten character recognition systems (HN), pp. 27–30.
ICDAR-1993-OhkuraSSH #on the #using: On discrimination of handwritten similar KANJI characters by subspace method using several features (MO, YS, MS, RH), pp. 589–592.
ICDAR-1993-SakodaZP #feature model #recognition #refinement #testing: Refinement and testing of a character recognition system based on feature extraction in grayscale space (WJS, JZ, TP), pp. 464–469.
ICDAR-1993-SeniorF #using: Using constrained snakes for feature spotting in off-line cursive script (AWS, FF), pp. 305–310.
ICDAR-1993-StrathySK #segmentation #using: Segmentation of handwritten digits using contour features (NWS, CYS, AK), pp. 577–580.
ICDAR-1993-TaiLZ #approach #detection #feature model #modelling #recognition: A model based detecting approach for feature extraction of off-line handwritten Chinese character recognition (JWT, YJL, LQZ), pp. 826–829.
SIGMOD-1993-Mohan #relational: IBM’s Relational DBMS Products: Features and Technologies (CM), pp. 445–448.
INTERCHI-1993-LeeW #identification #image #retrieval: Computer image retrieval by features: suspect identification (ESL, TW), pp. 494–499.
AdaEurope-1993-Jorgensen #ada #c++ #comparison #object-oriented: A Comparison of the Object-Oriented Features of Ada 9X and C++ (JJI), pp. 125–141.
AdaEurope-1993-MancusiTRSPB #architecture: Real and Virtual Interrupt Support: The Mapping of a CARTS Feature to Two Different Architectures (RM, JLT, MR, ENS, MP, CLB), pp. 314–329.
TRI-Ada-1993-GieringMB #ada #design #implementation #thread #using: Implementing Ada 9X Features Using POSIX Threads: Design Issues (EWG, FM, TPB), pp. 214–228.
ICML-1993-RagavanR #concept #learning #lookahead: Lookahead Feature Construction for Learning Hard Concepts (HR, LAR), pp. 252–259.
TOOLS-USA-1993-CaromelR #concurrent #reuse: Object-Based Concurrency: Ten Language Features to Achieve Reuse (DC, MR), pp. 205–213.
SAC-1993-KhwajaU #editing: Syntax-Directed Editing Environments: Issues and Features (AAK, JEU), pp. 230–237.
ILPS-1993-Ait-KaciPG #order #unification: Order-Sorted Feature Theory Unification (HAK, AP, SCG), pp. 506–524.
RTA-1993-Backofen #logic: Regular Path Expression in Feature Logic (RB), pp. 121–135.
SIGMOD-1992-Robertson #development: Administration, Availability, and Development Features of Teradata (BR), p. 225.
WSA-1992-GloessHLH #on the: On Boolean Feature Types (PYG, YNH, CML, MAH), pp. 213–220.
ML-1992-FawcettU #automation #generative #problem: Automatic Feature Generation for Problem Solving Systems (TF, PEU), pp. 144–153.
ML-1992-KiraR #approach #feature model: A Practical Approach to Feature Selection (KK, LAR), pp. 249–256.
ML-1992-OliveiraS #feature model #induction #using: Constructive Induction Using a Non-Greedy Strategy for Feature Selection (ALO, ALSV), pp. 355–360.
SIGMOD-1991-KrishnamurthyLK #database: Language Features for Interoperability of Databases with Schematic Discrepancies (RK, WL, WK), pp. 40–49.
ML-1991-FawcettU #generative #hybrid: A Hybrid Method for Feature Generation (TF, PEU), pp. 137–141.
ML-1991-LengB #induction: Constructive Induction on Symbolic Features (BL, BGB), pp. 163–167.
ML-1991-SuttonM #learning #polynomial: Learning Polynomial Functions by Feature Construction (RSS, CJM), pp. 208–212.
ML-1991-WatanabeR: Feature Construction in Structural Decision Trees (LW, LAR), pp. 218–222.
ML-1991-WatanabeY #3d #induction: Decision Tree Induction of 3-D Manufacturing Features (LW, SY), pp. 650–654.
ML-1991-YangRB #case study #comparative: Fringe-Like Feature Construction: A Comparative Study and a Unifying Scheme (DSY, LAR, GB), pp. 223–227.
ASPLOS-1991-HallO #architecture #performance: Performance Characteristics of Architectural Features of the IBM RISC System/6000 (CBH, KO), pp. 303–309.
ISLP-1991-Carpenter #first-order: Typed Feature Structures: A Generalization of First-Order Terms (BC), pp. 187–201.
ML-1990-ThintW #clustering #feature model #modelling: Feature Extraction and Clustering of Tactile Impressions with Connectionist Models (MT, PPW), pp. 253–258.
SIGIR-1990-BelkinM #information retrieval #interface: Determining the Functionality and Features of an Intelligent Interface to an Information Retrieval System (NJB, PGM), pp. 151–177.
LICS-1990-DorreR #algebra #on the: On Subsumption and Semiunification in Feature Algebras (JD, WCR), pp. 300–310.
ML-1989-Anderson #learning #network: Tower of Hanoi with Connectionist Networks: Learning New Features (CWA), pp. 345–349.
ML-1989-Callan #generative #knowledge-based: Knowledge-Based Feature Generation (JPC), pp. 441–443.
ML-1989-PagalloH #algorithm: Two Algorithms That Learn DNF by Discovering Relevant Features (GP, DH), pp. 119–123.
ML-1989-Seifert #feature model #retrieval #using: A Retrieval Model Using Feature Selection (CMS), pp. 52–54.
ML-1989-Tallis #bias: Overcoming Feature Space Bias in a Reactive Environment (HT), pp. 505–508.
PPEALS-1988-AlbertKLS #array #compilation #fortran: Compiling Fortran 8x Array Features for the Connection Machine Computer System (EA, KK, JDL, GLSJ), pp. 42–56.
ECOOP-1987-MossK #concurrent #owl: Concurrency Features for the Trellis/Owl Language (JEBM, WHK), pp. 171–180.
CSL-1987-BlasiusH #unification: Resolution with Feature Unification (KHB, UH), pp. 17–26.
DAC-1986-Kruger #automation #design #generative #self #source code: Automatic generation of self-test programs — a new feature of the MIMOLA design system (GK), pp. 378–384.
OOPSLA-1986-IshikawaT #concurrent #implementation #information management #object-oriented #representation: A Concurrent Object-Oriented Knowledge Representation Language Orient84/K: Its Features and Implementation (YI, MT), pp. 232–241.
DAC-1985-BlackmanFR #compilation: The Silc silicon compiler: language and features (TB, JRF, CR), pp. 232–237.
RTA-1985-Buchberger #development: Basic Features and Development of the Critical-Pair/Completion Procedure (BB), pp. 1–45.
DAC-1983-HofmannL #approach #feature model #named: HEX: An instruction-driven approach to feature extraction (MH, UL), pp. 331–336.
ASPLOS-1982-BerenbaumCL #operating system: The Operating System and Language Support Features of the BELLMAC-32 Microprocessor (ADB, MWC, PML), pp. 30–38.
ILPC-1982-Nakashima82 #named #prolog: Prolog/KR — Language Features (HN), pp. 65–70.
VLDB-1980-MylopoulosW: Some Features of the TAXIS Data Model (JM, HKTW), pp. 399–410.
ICSE-1979-BanatreB #process: Language Features for Description of Cooperating Processes (JPB, MB), pp. 308–314.
DAC-1976-GoldsteinL #optimisation: Common feature techniques for discrete optimization (AJG, ABL), pp. 232–244.
DAC-1976-PattersonP #automation: A proven operational CAD system for P.W.B. design-based on a mini-computer and featuring fully automatic placement and routing (GLP, BHP), pp. 259–264.
DIPL-1976-AndrewsM #parallel: Language features for parallel processing and resource control (GRA, JRM), pp. 243–287.
DAC-1975-KozakGC: Operational features of an MOS timing simulator (PK, HKG, BRC), pp. 95–101.
VLDB-1975-Tsichritzis #concept: Features of a Conceptual Schema (DT), pp. 532–534.
SIGIR-1971-DostertT #ambiguity #how: How Features Resolve Syntactic Ambiguity (BHD, FBT), pp. 19–32.
SOSP-1971-Alsberg #operating system: Extensible Data Features in the Operating System Language OSL/2 (PA), pp. 31–34.
STOC-1969-Zeiger #formal method #modelling #programming language: Formal Models for Some Features of Programming Languages (HPZ), pp. 211–215.