BibSLEIGH — filter stem

Used together with:

collabor (212)
base (176)
use (137)
inform (67)
system (60)

Stem filter$ (all stems)

842 papers:

CASE-2015-ChenW #design #probability #robust: H∞ robust filter design for a class of nonlinear stochastic poisson jump systems (BSC, CFW), pp. 1557–1561.
CASE-2015-ChouTHC #adaptation #algorithm #design #parametricity #process: Adaptive neuro-fuzzy inference system with evolutionary algorithm for designing process parameters of color filter (PYC, JTT, WHH, JHC), pp. 1555–1556.
CASE-2015-QuangTH #adaptation #using: FPGA-based sensorless PMSM speed control using adaptive extended Kalman filter (NKQ, DDT, QPH), pp. 1650–1655.
CASE-2015-WahrburgMCMD #estimation #using: Cartesian contact force estimation for robotic manipulators using Kalman filters and the generalized momentum (AW, EM, GC, BM, HD), pp. 1230–1235.
CASE-2015-WuDZW #detection: Kalman filter based DNS cache poisoning attack detection (HW, XD, LZ, LW), pp. 1594–1600.
DATE-2015-DinizSDBH #architecture #hardware #performance #standard #video: A deblocking filter hardware architecture for the high efficiency video coding standard (CMD, MS, FVD, SB, JH), pp. 1509–1514.
DATE-2015-KalaliH #2d #adaptation #energy #hardware: A low energy 2D adaptive median filter hardware (EK, IH), pp. 725–729.
HT-2015-BledaiteR #collaboration #elicitation: Pairwise Preferences Elicitation and Exploitation for Conversational Collaborative Filtering (LB, FR), pp. 231–236.
SIGMOD-2015-YangWWW #approximate #performance #query #string: Local Filtering: Improving the Performance of Approximate Queries on String Collections (XY, YW, BW, WW), pp. 377–392.
VLDB-2015-VengerovMZC #estimation: Join Size Estimation Subject to Filter Conditions (DV, ACM, MZ, SC), pp. 1530–1541.
MSR-2015-ChowdhuryH #mining #stack overflow #topic: Mining StackOverflow to Filter Out Off-Topic IRC Discussion (SAC, AH), pp. 422–425.
CHI-2015-LoeppH0 #algorithm #information management #interactive #recommendation: Blended Recommending: Integrating Interactive Information Filtering and Algorithmic Recommender Techniques (BL, KH, JZ), pp. 975–984.
HIMI-IKD-2015-AraiOM #using #web: A Filtering System of Web History Using the Browsing Characteristic (KA, MO, HM), pp. 273–279.
ICEIS-v2-2015-AngioniCT #collaboration #mining: Evaluating Potential Improvements of Collaborative Filtering with Opinion Mining (MA, MLC, FT), pp. 656–661.
ECIR-2015-AmigoGM #approach #clustering #effectiveness #formal method #information management #metric #retrieval: A Formal Approach to Effectiveness Metrics for Information Access: Retrieval, Filtering, and Clustering (EA, JG, SM), pp. 817–821.
ECIR-2015-GaillardR #adaptation #collaboration #matrix: Time-Sensitive Collaborative Filtering through Adaptive Matrix Completion (JG, JMR), pp. 327–332.
ECIR-2015-GebremeskelV #documentation #ranking: Entity-Centric Stream Filtering and Ranking: Filtering and Unfilterable Documents (GGG, APdV), pp. 303–314.
ECIR-2015-LiangCC #approach #detection #social #social media: A Noise-Filtering Approach for Spatio-temporal Event Detection in Social Media (YL, JC, CC), pp. 233–244.
ECIR-2015-Martinez-Alvarez #information management #named #realtime: Signal: Advanced Real-Time Information Filtering (MMA, UK, WH, MP), pp. 793–796.
ICML-2015-LiuHW #collaboration: Non-Linear Cross-Domain Collaborative Filtering via Hyper-Structure Transfer (YFL, CYH, SHW), pp. 1190–1198.
ICML-2015-XuRYLJ: Deep Edge-Aware Filters (LX, JR, QY, RL, JJ), pp. 1669–1678.
KDD-2015-HayashiMTK #detection #realtime #topic #twitter: Real-Time Top-R Topic Detection on Twitter with Topic Hijack Filtering (KH, TM, MT, KiK), pp. 417–426.
MLDM-2015-Prado #classification #named: MOGACAR: A Method for Filtering Interesting Classification Association Rules (DBP), pp. 172–183.
RecSys-2015-AlmahairiKCC #collaboration #distributed #learning: Learning Distributed Representations from Reviews for Collaborative Filtering (AA, KK, KC, ACC), pp. 147–154.
RecSys-2015-LarrainTPGN #case study #collaboration #social: Good Times Bad Times: A Study on Recency Effects in Collaborative Filtering for Social Tagging (SL, CT, DP, EGG, KN), pp. 269–272.
RecSys-2015-SahebiB #collaboration: It Takes Two to Tango: An Exploration of Domain Pairs for Cross-Domain Collaborative Filtering (SS, PB), pp. 131–138.
SIGIR-2015-HuangWLMCV #collaboration: Listwise Collaborative Filtering (SH, SW, TYL, JM, ZC, JV), pp. 343–352.
SIGIR-2015-LiuW #collaboration #learning: Learning Context-aware Latent Representations for Context-aware Collaborative Filtering (XL, WW), pp. 887–890.
SIGIR-2015-SpinaPR #learning #microblog: Active Learning for Entity Filtering in Microblog Streams (DS, MHP, MdR), pp. 975–978.
SIGIR-2015-SpirinKKSI #metric #optimisation #quality #tuple: Relevance-aware Filtering of Tuples Sorted by an Attribute Value via Direct Optimization of Search Quality Metrics (NVS, MK, JK, YVS, PAI), pp. 979–982.
SAC-2015-AbbesPHB #documentation: Leveraging temporal expressions to filter vital documents related to an entity (RA, KPS, NH, MB), pp. 1093–1098.
SAC-2015-BerardiCEM #microblog #on the #realtime: On the impact of entity linking in microblog real-time filtering (GB, DC, AE, DM), pp. 1066–1071.
SAC-2015-DAddioM #approach #collaboration #sentiment: A sentiment-based item description approach for kNN collaborative filtering (RMD, MGM), pp. 1060–1065.
SAC-2015-Messaoud #collaboration #named: Dynamic: a collaborative filtering strategy for assigning examination’s rooms to supervisors (MBM), pp. 264–266.
SAC-2015-VinagreJG #collaboration #feedback: Collaborative filtering with recency-based negative feedback (JV, AMJ, JG), pp. 963–965.
ICSE-v1-2015-FilieriGL #adaptation #learning #lightweight #modelling #performance #probability: Lightweight Adaptive Filtering for Efficient Learning and Updating of Probabilistic Models (AF, LG, AL), pp. 200–211.
HPCA-2015-LoCIS #monitoring #runtime #using: Run-time monitoring with adjustable overhead using dataflow-guided filtering (DL, TC, MI, GES), pp. 662–674.
SAT-2015-DouglassKR #quantum #satisfiability: Constructing SAT Filters with a Quantum Annealer (AD, ADK, JR), pp. 104–120.
CASE-2014-ChenLY #distributed #modelling #network: Sparse particle filtering for modeling space-time dynamics in distributed sensor networks (YC, GL, HY), pp. 626–631.
CASE-2014-LeePP #locality #using: Coarse-to-fine robot localization method using radio fingerprint and Particle Filter (YCL, BP, SP), pp. 290–296.
CASE-2014-SachsMTS #energy #hybrid: Filter-based PV power smoothing control for island hybrid energy systems with high PV penetration (JS, BM, KT, OS), pp. 872–877.
DATE-2014-SarafBLR #probability #using: IIR filters using stochastic arithmetic (NS, KB, DJL, MDR), pp. 1–6.
DATE-2014-TtofisT #hardware #image #realtime: High-quality real-time hardware stereo matching based on guided image filtering (CT, TT), pp. 1–6.
DRR-2014-NagyL #distance #similarity: Form similarity via Levenshtein distance between ortho-filtered logarithmic ruling-gap ratios (GN, DPL), pp. 902106–8.
HT-2014-NagulendraV #case study #comprehension #interactive #visualisation: Understanding and controlling the filter bubble through interactive visualization: a user study (SN, JV), pp. 107–115.
HT-2014-NoorianMV #adaptation #feedback #self #using: Self-adaptive filtering using pid feedback controller in electronic commerce (ZN, MM, JV), pp. 267–272.
SIGMOD-2014-DengLF #algorithm #similarity #string: A pivotal prefix based filtering algorithm for string similarity search (DD, GL, JF), pp. 673–684.
VLDB-2014-ParameswaranBG0PW #algorithm #rating: Optimal Crowd-Powered Rating and Filtering Algorithms (AGP, SB, HGM, AG, NP, JW), pp. 685–696.
CHI-2014-HashishBY #approach #collaboration: Involving children in content control: a collaborative and education-oriented content filtering approach (YH, AB, JEY), pp. 1797–1806.
CHI-2014-LoeppHZ #collaboration #elicitation #recommendation: Choice-based preference elicitation for collaborative filtering recommender systems (BL, TH, JZ), pp. 3085–3094.
CHI-2014-ShrotRGK #algorithm #collaboration #named: CRISP: an interruption management algorithm based on collaborative filtering (TS, AR, JG, SK), pp. 3035–3044.
ICEIS-v2-2014-BorattoC #clustering #collaboration #recommendation #using: Using Collaborative Filtering to Overcome the Curse of Dimensionality when Clustering Users in a Group Recommender System (LB, SC), pp. 564–572.
CIKM-2014-MaLG #collaboration #community #recommendation #trust: Improving Recommendation Accuracy by Combining Trust Communities and Collaborative Filtering (XM, HL, ZG), pp. 1951–1954.
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-VouzoukidouAC #named #query #ranking #realtime: MeowsReader: Real-Time Ranking and Filtering of News with Generalized Continuous Top-k Queries (NV, BA, VC), pp. 2066–2068.
CIKM-2014-XuLL #bibliography #clustering #collaboration #community: Collaborative Filtering Incorporating Review Text and Co-clusters of Hidden User Communities and Item Groups (YX, WL, TL), pp. 251–260.
CIKM-2014-YaoTYXZSL #collaboration: Dual-Regularized One-Class Collaborative Filtering (YY, HT, GY, FX, XZ, BKS, JL), pp. 759–768.
CIKM-2014-ZhangLCZW #collaboration: Exploit Latent Dirichlet Allocation for One-Class Collaborative Filtering (HZ, ZL, YC, XZ, SW), pp. 1991–1994.
CIKM-2014-ZhangYCQGZSH #ranking #social: Social Book Search Reranking with Generalized Content-Based Filtering (BWZ, XCY, XPC, JQ, BG, FZ, LS, HWH), pp. 361–370.
CIKM-2014-ZhaoMK #collaboration #personalisation #ranking #social: Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering (TZ, JJM, IK), pp. 261–270.
ECIR-2014-LoniSLH #collaboration: Cross-Domain Collaborative Filtering with Factorization Machines (BL, YS, ML, AH), pp. 656–661.
ICML-c1-2014-LiL #classification #multi: Condensed Filter Tree for Cost-Sensitive Multi-Label Classification (CLL, HTL), pp. 423–431.
ICML-c1-2014-SteinhardtL: Filtering with Abstract Particles (JS, PL), pp. 727–735.
ICML-c2-2014-VinnikovS #component #independence: K-means recovers ICA filters when independent components are sparse (AV, SSS), pp. 712–720.
ICPR-2014-AlmogahedK #game studies #named #using: NEATER: Filtering of Over-sampled Data Using Non-cooperative Game Theory (BAA, IAK), pp. 1371–1376.
ICPR-2014-FranchiA #adaptation: Spatially-Variant Area Openings for Reference-Driven Adaptive Contour Preserving Filtering (GF, JA), pp. 1043–1048.
ICPR-2014-Gomez-BarreroRGFB #adaptation: Protected Facial Biometric Templates Based on Local Gabor Patterns and Adaptive Bloom Filters (MGB, CR, JG, JF, CB), pp. 4483–4488.
ICPR-2014-HoreY #image: A New Filter for Reducing HALO Artifacts in Tone Mapped Images (AH, OYP), pp. 889–894.
ICPR-2014-HuangCZ #performance: An Improved Filtering for Fast Stereo Matching (XH, GC, YZ), pp. 2448–2452.
ICPR-2014-KurtzNP #component #multi: Multivalued Component-Tree Filtering (CK, BN, NP), pp. 1008–1013.
ICPR-2014-LemesSBS #authentication #detection: Dynamic Pore Filtering for Keypoint Detection Applied to Newborn Authentication (RdPL, MPS, ORPB, LS), pp. 1698–1703.
ICPR-2014-LiZ #hybrid: A Nonlocal Filter-Based Hybrid Strategy for Depth Map Enhancement (LL, CZ), pp. 4394–4399.
ICPR-2014-MoeiniMF14b #2d #3d #image #invariant #re-engineering #recognition #using: Expression-Invariant Face Recognition via 3D Face Reconstruction Using Gabor Filter Bank from a 2D Single Image (AM, HM, KF), pp. 4708–4713.
ICPR-2014-NaegelP #component #image: Colour Image Filtering with Component-Graphs (BN, NP), pp. 1621–1626.
ICPR-2014-SchubertM #detection #robust: Robust Registration and Filtering for Moving Object Detection in Aerial Videos (FS, KM), pp. 2808–2813.
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-ZhangWL #using #video: Video Text Extraction Using the Fusion of Color Gradient and Log-Gabor Filter (ZZ, WW, KL), pp. 2938–2943.
KDD-2014-CharlinZL #collaboration #library: Leveraging user libraries to bootstrap collaborative filtering (LC, RSZ, HL), pp. 173–182.
KDIR-2014-FukumotoSSM #collaboration #recommendation: Incorporating Guest Preferences into Collaborative Filtering for Hotel Recommendation (FF, HS, YS, SM), pp. 22–30.
KEOD-2014-AliE #collaboration #recommendation #semantics: Semantic-based Collaborative Filtering for Enhancing Recommendation (GA, AE), pp. 176–185.
RecSys-2014-AdamopoulosT14a #bias #collaboration #on the #probability #recommendation: On over-specialization and concentration bias of recommendations: probabilistic neighborhood selection in collaborative filtering systems (PA, AT), pp. 153–160.
RecSys-2014-AdamsSBKHM #collaboration #health #named: PERSPeCT: collaborative filtering for tailored health communications (RJA, RSS, KB, RLK, TKH, BMM), pp. 329–332.
RecSys-2014-LoniSLH #collaboration: “Free lunch” enhancement for collaborative filtering with factorization machines (BL, AS, ML, AH), pp. 281–284.
RecSys-2014-SedhainSBXC #collaboration #recommendation #social: Social collaborative filtering for cold-start recommendations (SS, SS, DB, LX, JC), pp. 345–348.
RecSys-2014-VerstrepenG #collaboration #nearest neighbour: Unifying nearest neighbors collaborative filtering (KV, BG), pp. 177–184.
RecSys-2014-WaldnerV #exclamation #game studies #recommendation #timeline #twitter: Emphasize, don’t filter!: displaying recommendations in Twitter timelines (WW, JV), pp. 313–316.
SEKE-2014-ChenHQJ #performance #static analysis #using: Improving Static Analysis Performance Using Rule-Filtering Technique (DC, RH, BQ, SJ), pp. 19–24.
SIGIR-2014-AmigoGM #clustering #effectiveness #metric #retrieval: A general account of effectiveness metrics for information tasks: retrieval, filtering, and clustering (EA, JG, SM), p. 1289.
SIGIR-2014-EfronWS #learning #query: Learning sufficient queries for entity filtering (ME, CW, GS), pp. 1091–1094.
SIGIR-2014-NieLY #collaboration: Weighted aspect-based collaborative filtering (YN, YL, XY), pp. 1071–1074.
POPL-2014-LongSKR #fault #generative #integer: Sound input filter generation for integer overflow errors (FL, SSD, DK, MCR), pp. 439–452.
SAC-2014-JuniorGM #collaboration #constraints #modelling #personalisation: Personalized collaborative filtering: a neighborhood model based on contextual constraints (EBSJ, RG, MGM), pp. 919–924.
HPCA-2014-FytrakiVKFG #monitoring #named #programmable: FADE: A programmable filtering accelerator for instruction-grain monitoring (SF, EV, YOK, BF, BG), pp. 108–119.
HPDC-2014-TangMEL0G #manycore #scalability: Data filtering for scalable high-dimensional k-NN search on multicore systems (XT, SM, DME, KCL, ZH, MG), pp. 305–310.
CASE-2013-RenfrewBC #locality: Particle filter based active localization of target and needle in robotic image-guided intervention systems (MR, ZB, MCC), pp. 448–454.
CASE-2013-YanLS #detection #fault #process #statistics: Fault detection of cooling coils based on unscented Kalman filters and statistical process control (YY, PBL, BS), pp. 237–242.
DATE-2013-PontarelliOEW #detection #fault #using: Error detection in ternary CAMs using bloom filters (SP, MO, AE, SJW), pp. 1474–1479.
HT-2013-ZhangZLM #collaboration #framework #matrix: A general collaborative filtering framework based on matrix bordered block diagonal forms (YZ, MZ, YL, SM), pp. 219–224.
ICDAR-2013-HuangSU #detection: Scene Character Detection by an Edge-Ray Filter (RH, PS, SU), pp. 462–466.
ICDAR-2013-LeVTO #categorisation #documentation: Improving Logo Spotting and Matching for Document Categorization by a Post-Filter Based on Homography (VPL, MV, DCT, JMO), pp. 270–274.
ICDAR-2013-MaraK #3d #invariant: Vectorization of 3D-Characters by Integral Invariant Filtering of High-Resolution Triangular Meshes (HM, SK), pp. 62–66.
SIGMOD-2013-ChenCC #performance #query: An efficient query indexing mechanism for filtering geo-textual data (LC, GC, XC), pp. 749–760.
SIGMOD-2013-FanXS #adaptation #monitoring #named #performance #realtime: FAST: differentially private real-time aggregate monitor with filtering and adaptive sampling (LF, LX, VSS), pp. 1065–1068.
VLDB-2013-AlexiouKL #adaptation: Adaptive Range Filters for Cold Data: Avoiding Trips to Siberia (KA, DK, PÅL), pp. 1714–1725.
VLDB-2013-DuttaNB #approach #approximate #data type #detection #streaming: Streaming Quotient Filter: A Near Optimal Approximate Duplicate Detection Approach for Data Streams (SD, AN, SKB), pp. 589–600.
MSR-2013-ShokripourAKZ #debugging #recommendation #why: Why so complicated? simple term filtering and weighting for location-based bug report assignment recommendation (RS, JA, ZMK, SZ), pp. 2–11.
CHI-2013-LiaoF #interactive #topic: Beyond the filter bubble: interactive effects of perceived threat and topic involvement on selective exposure to information (QVL, WTF), pp. 2359–2368.
CSCW-2013-SaidFJA #algorithm #collaboration #evaluation #recommendation: User-centric evaluation of a K-furthest neighbor collaborative filtering recommender algorithm (AS, BF, BJJ, SA), pp. 1399–1408.
CIKM-2013-AlbakourMO #effectiveness #microblog #on the #realtime: On sparsity and drift for effective real-time filtering in microblogs (MDA, CM, IO), pp. 419–428.
CIKM-2013-MorishimaYTSK #dependence #performance #ranking #web: Efficient filtering and ranking schemes for finding inclusion dependencies on the web (AM, EY, MT, SS, HK), pp. 763–768.
CIKM-2013-VanderbauwhedeFACM #throughput #using: High throughput filtering using FPGA-acceleration (WV, AF, LA, SRC, MM), pp. 1245–1248.
CIKM-2013-ZhaoZW #collaboration #interactive: Interactive collaborative filtering (XZ, WZ, JW), pp. 1411–1420.
CIKM-2013-ZhouC #documentation: Entity-centric document filtering: boosting feature mapping through meta-features (MZ, KCCC), pp. 119–128.
ICML-c3-2013-ErolLRR #parametricity: The Extended Parameter Filter (YE, LL, BR, SJR), pp. 1103–1111.
ICML-c3-2013-GeorgievN #collaboration #framework #strict: A non-IID Framework for Collaborative Filtering with Restricted Boltzmann Machines (KG, PN), pp. 1148–1156.
ICML-c3-2013-LakshminarayananRT #top-down: Top-down particle filtering for Bayesian decision trees (BL, DMR, YWT), pp. 280–288.
KDD-2013-NiemannW #approach #collaboration #recommendation: A new collaborative filtering approach for increasing the aggregate diversity of recommender systems (KN, MW), pp. 955–963.
KDIR-KMIS-2013-BerkaniN #collaboration #learning #recommendation #semantics: Semantic Collaborative Filtering for Learning Objects Recommendation (LB, ON), pp. 52–63.
RecSys-2013-AdamopoulosT #collaboration #predict #recommendation #using: Recommendation opportunities: improving item prediction using weighted percentile methods in collaborative filtering systems (PA, AT), pp. 351–354.
RecSys-2013-BelloginPC #collaboration #probability: Probabilistic collaborative filtering with negative cross entropy (AB, JP, PC), pp. 387–390.
RecSys-2013-CodinaRC #modelling #semantics: Local context modeling with semantic pre-filtering (VC, FR, LC), pp. 363–366.
RecSys-2013-KoyejoAG #collaboration #matrix: Retargeted matrix factorization for collaborative filtering (OK, SA, JG), pp. 49–56.
RecSys-2013-MirbakhshL #clustering #collaboration: Clustering-based factorized collaborative filtering (NM, CXL), pp. 315–318.
RecSys-2013-NatarajanSD #collaboration: Which app will you use next?: collaborative filtering with interactional context (NN, DS, ISD), pp. 201–208.
RecSys-2013-OstrikovRS #collaboration #metadata #using: Using geospatial metadata to boost collaborative filtering (AO, LR, BS), pp. 423–426.
RecSys-2013-RonenKZN #collaboration #recommendation: Selecting content-based features for collaborative filtering recommenders (RR, NK, EZ, NN), pp. 407–410.
RecSys-2013-WangHZL #collaboration #multi #on the fly #online #recommendation: Online multi-task collaborative filtering for on-the-fly recommender systems (JW, SCHH, PZ, ZL), pp. 237–244.
SEKE-2013-HeDWCL #collaboration #topic: Comparing Collaborative Filtering Methods Based on User-Topic Ratings (TH, XD, WW, ZC, JL), pp. 312–317.
SIGIR-2013-DimopoulosNS #performance #query: A candidate filtering mechanism for fast top-k query processing on modern cpus (CD, SN, TS), pp. 723–732.
SIGIR-2013-PappasP #analysis #collaboration #sentiment: Sentiment analysis of user comments for one-class collaborative filtering over ted talks (NP, APB), pp. 773–776.
SIGIR-2013-ZhangCWY #collaboration #optimisation: Optimizing top-n collaborative filtering via dynamic negative item sampling (WZ, TC, JW, YY), pp. 785–788.
SIGIR-2013-ZhangZLM #collaboration #matrix: Improve collaborative filtering through bordered block diagonal form matrices (YZ, MZ, YL, SM), pp. 313–322.
SAC-2013-Amavia #towards: Filtering XFD toward interoperability (JA, MHFA), pp. 868–871.
SAC-2013-BlancoMLJ #approach #probability: A Kalman filter based approach to probabilistic gas distribution mapping (JLB, JGM, AJL, JGJ), pp. 217–222.
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-NikolaevskiyLPPG #multi #named #scalability: isBF: scalable in-packet bloom filter based multicast (IN, AL, TP, VP, AG), pp. 646–648.
SAC-2013-RodriguesCPZ #database #visual notation #visualisation: Hierarchical visual filtering, pragmatic and epistemic actions for database visualization (JFRJ, CEC, AFdP, LAMZ), pp. 946–952.
SAC-2013-SenatoreP #collaboration #concept analysis #fuzzy #navigation: Lattice navigation for collaborative filtering by means of (fuzzy) formal concept analysis (SS, GP), pp. 920–926.
DAC-2012-WangKPRLFMP #adaptation #design #optimisation #statistics: Statistical design and optimization for adaptive post-silicon tuning of MEMS filters (FW, GK, AP, JR, XL, GKF, TM, LTP), pp. 176–181.
DATE-2012-AksoyCFM #design #finite: Design of low-complexity digital finite impulse response filters on FPGAs (LA, EC, PFF, JCM), pp. 1197–1202.
DATE-2012-SekaninaS #image #logic #multi #towards: Towards new applications of multi-function logic: Image multi-filtering (LS, VS), pp. 824–827.
DATE-2012-WanK #embedded #monitoring: Monitoring active filters under automotive aging scenarios with embedded instrument (JW, HGK), pp. 1096–1101.
DATE-2012-YunLY #ram: Bloom filter-based dynamic wear leveling for phase-change RAM (JY, SL, SY), pp. 1513–1518.
HT-2012-AbelHHST #semantics #social #web: Semantics + filtering + search = twitcident. exploring information in social web streams (FA, CH, GJH, RS, KT), pp. 285–294.
SIGMOD-2012-ParameswaranGPPRW #algorithm #named: CrowdScreen: algorithms for filtering data with humans (AGP, HGM, HP, NP, AR, JW), pp. 361–372.
SIGMOD-2012-WangLF #adaptation #framework #similarity: Can we beat the prefix filtering?: an adaptive framework for similarity join and search (JW, GL, JF), pp. 85–96.
VLDB-2012-ErdosILTB #multi #problem: The Filter-Placement Problem and its Application to Minimizing Information Multiplicity (DE, VI, AL, ET, AB), pp. 418–429.
ITiCSE-2012-Asad #image #student: Junior high school students performing image smoothening and noise filtering by applying mathematical operations (KA), p. 390.
FASE-2012-TrikiLBDB #combinator #modelling #testing: Model-Based Filtering of Combinatorial Test Suites (TT, YL, LdB, FD, JB), pp. 439–454.
TACAS-2012-CoxSC #bound #precise #verification: A Bit Too Precise? Bounded Verification of Quantized Digital Filters (AC, SS, BYEC), pp. 33–47.
CSMR-2012-LamkanfiD #analysis #debugging: Filtering Bug Reports for Fix-Time Analysis (AL, SD), pp. 379–384.
CHI-2012-CasiezRV #interactive: 1 € filter: a simple speed-based low-pass filter for noisy input in interactive systems (GC, NR, DV), pp. 2527–2530.
CHI-2012-Golbeck #challenge #twitter #web: The twitter mute button: a web filtering challenge (JG), pp. 2755–2758.
CIKM-2012-AsadiL #documentation #generative #performance #ranking: Fast candidate generation for two-phase document ranking: postings list intersection with bloom filters (NA, JL), pp. 2419–2422.
CIKM-2012-ChenZMZ #social: 4Is of social bully filtering: identity, inference, influence, and intervention (YC, LZ, AM, YZ), pp. 2677–2679.
CIKM-2012-DybalaRAS #analysis #comparative #generative #ranking: Data filtering in humor generation: comparative analysis of hit rate and co-occurrence rankings as a method to choose usable pun candidates (PD, RR, KA, KS), pp. 2587–2590.
CIKM-2012-JinCKLZ #protocol #query: A filter-based protocol for continuous queries over imprecise location data (YJ, RC, BK, KyL, YZ), pp. 365–374.
CIKM-2012-RenLZZ #collaboration #performance: The efficient imputation method for neighborhood-based collaborative filtering (YR, GL, JZ, WZ), pp. 684–693.
CIKM-2012-WangSGM #adaptation #collaboration: Adapting vector space model to ranking-based collaborative filtering (SW, JS, BJG, JM), pp. 1487–1491.
CIKM-2012-YangZW #collaboration #incremental #predict #scalability #using: Scalable collaborative filtering using incremental update and local link prediction (XY, ZZ, KW), pp. 2371–2374.
ICML-2012-DefazioC #collaboration #performance #visual notation: A Graphical Model Formulation of Collaborative Filtering Neighbourhood Methods with Fast Maximum Entropy Training (AD, TSC), p. 75.
ICML-2012-WangX #collaboration #matrix: Stability of matrix factorization for collaborative filtering (YXW, HX), p. 26.
ICPR-2012-BaoSYA #framework: An edge-preserving filtering framework for visibility restoration (LB, YS, QY, NA), pp. 384–387.
ICPR-2012-BeyanF: A filtering mechanism for normal fish trajectories (CB, RBF), pp. 2286–2289.
ICPR-2012-BianZSL #realtime: Parallelized Annealed Particle Filter for real-time marker-less motion tracking via heterogeneous computing (YB, XZ, JS, YL), pp. 2444–2447.
ICPR-2012-BoumaizaT #recognition: Impact of a codebook filtering step on a galois lattice structure for graphics recognition (AB, ST), pp. 278–281.
ICPR-2012-ChenLL #artificial reality #image #using: Depth image enhancement for Kinect using region growing and bilateral filter (LC, HL, SL), pp. 3070–3073.
ICPR-2012-GuoWYLG #query: Query by humming via hierarchical filters (ZG, QW, LY, GL, JG), pp. 3021–3024.
ICPR-2012-IkemuraF #detection #using: Human detection by Haar-like filtering using depth information (SI, HF), pp. 813–816.
ICPR-2012-Imajo #algorithm #performance #using: Fast Gaussian filtering algorithm using splines (KI), pp. 489–492.
ICPR-2012-IsmaeilAO #evaluation #exponential #kernel: Bilateral filter evaluation based on exponential kernels (KAI, DA, BEO), pp. 258–261.
ICPR-2012-KiwanukaW #clustering: Cluster-based vector-attribute filtering for CT and MRI enhancement (FNK, MHFW), pp. 3112–3115.
ICPR-2012-LinCKLL #adaptation #approximate: Adaptive support-window approximation to bilateral filtering (GSL, CYC, CTK, WNL, KCL), pp. 2013–2016.
ICPR-2012-LiuGL #artificial reality: Guided inpainting and filtering for Kinect depth maps (JL, XG, JL), pp. 2055–2058.
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-Lotte #classification: A new feature and associated optimal spatial filter for EEG signal classification: Waveform Length (FL), pp. 1302–1305.
ICPR-2012-LuoKM #3d #using: Endoscope 3-D motion tracking using an aggressive particle filtering for boosting electromagnetic guidance endoscopy (XL, TK, KM), pp. 117–120.
ICPR-2012-NguyenJ #metric: Enhancing motion field with OA-filter and alternative measurement (DDN, JWJ), pp. 870–873.
ICPR-2012-OGorman #fault #privacy #segmentation #video: Video privacy filters with tolerance to segmentation errors for video conferencing and surveillance (LO), pp. 1835–1838.
ICPR-2012-RosRG: Articulated Particle Filter for hand tracking (GR, JMdR, GGM), pp. 3581–3585.
ICPR-2012-SoranHLS #detection #using: Tremor detection using motion filtering and SVM (BS, JNH, SIL, LGS), pp. 178–181.
ICPR-2012-VacavantAMS #performance: Fast smoothed shock filtering (AV, AAK, PYM, JS), pp. 182–185.
ICPR-2012-WangGLLG #multi #query: Tempo variation based multilayer filters for query by humming (QW, ZG, BL, GL, JG), pp. 3034–3037.
ICPR-2012-XuGN #image #using: Morphological filtering in shape spaces: Applications using tree-based image representations (YX, TG, LN), pp. 485–488.
ICPR-2012-YangZLP #3d #optimisation #using: Coupled 3D tracking and pose optimization of rigid objects using particle filter (HY, YZ, XL, IP), pp. 1451–1454.
ICPR-2012-YaoZLL #algorithm #effectiveness #modelling #performance: A fast and effective appearance model-based particle filtering object tracking algorithm (ZY, YZ, JL, WL), pp. 1475–1478.
KDD-2012-ZhouZ #collaboration #learning: Learning binary codes for collaborative filtering (KZ, HZ), pp. 498–506.
KDIR-2012-Bhasker #algorithm #case study #collaboration #comparative: Comparative Study of Collaborative Filtering Algorithms (BB), pp. 132–137.
KDIR-2012-DesarkarS #collaboration: User based Collaborative Filtering with Temporal Information for Purchase Data (MSD, SS), pp. 55–64.
KDIR-2012-FukumotoMM #analysis #collaboration #recommendation #sentiment: Collaborative Filtering based on Sentiment Analysis of Guest Reviews for Hotel Recommendation (FF, CM, SM), pp. 193–198.
RecSys-2012-BelloginP #clustering #collaboration #graph #using: Using graph partitioning techniques for neighbour selection in user-based collaborative filtering (AB, JP), pp. 213–216.
RecSys-2012-RaghavanGG #bibliography #collaboration #quality: Review quality aware collaborative filtering (SR, SG, JG), pp. 123–130.
RecSys-2012-ShiKBLOH #collaboration #learning #named #rank: CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering (YS, AK, LB, ML, NO, AH), pp. 139–146.
SEKE-2012-GaoKN #feature model #metric: Stability of Filter-Based Feature Selection Methods for Imbalanced Software Measurement Data (KG, TMK, AN), pp. 74–79.
SIGIR-2012-YangCZY #collaboration #mining: Collaborative filtering with short term preferences mining (DY, TC, WZ, YY), pp. 1043–1044.
ECMFA-2012-GoldschmidtM #domain-specific language #query: An Internal Domain-Specific Language for Constructing OPC UA Queries and Event Filters (TG, WM), pp. 62–73.
SAC-2012-BasuVDK #case study #collaboration #performance #privacy: Feasibility of a privacy preserving collaborative filtering scheme on the Google App Engine: a performance case study (AB, JV, TD, HK), pp. 447–452.
SAC-2012-BoumazaB #collaboration #probability: Stochastic search for global neighbors selection in collaborative filtering (AMB, AB), pp. 232–237.
SAC-2012-GriffithOS #collaboration #predict #rating: Investigations into user rating information and predictive accuracy in a collaborative filtering domain (JG, CO, HS), pp. 937–942.
SAC-2012-LiuHHYS #multi #performance: An application of circumscribed circle filter in the Multi-Stencils Fast Marching method (HL, CCH, HH, MY, ES), pp. 33–38.
SAC-2012-MalakutiA #composition #evolution: Evolution of composition filters to event composition (SM, MA), pp. 1850–1857.
SAC-2012-QiCLHW #collaboration #using: Using inferred tag ratings to improve user-based collaborative filtering (QQ, ZC, JL, CH, QW), pp. 2008–2013.
SAC-2012-SaidJA #collaboration: Analyzing weighting schemes in collaborative filtering: cold start, post cold start and power users (AS, BJJ, SA), pp. 2035–2040.
PPoPP-2012-BuhlerALC #concurrent #performance #streaming: Efficient deadlock avoidance for streaming computation with filtering (JDB, KA, PL, RDC), pp. 235–246.
CASE-2011-MaiHHH #adaptation #algorithm #performance #speech: A fast adaptive Kalman filtering algorithm for speech enhancement (QM, DH, YH, ZH), pp. 327–332.
CASE-2011-SunLOS #detection #energy #fault: Building energy doctors: SPC and Kalman filter-based fault detection (BS, PBL, ZO, FS), pp. 333–340.
DATE-2011-FoucauldDDC: An antenna-filter codesign for cardiac implants (EdF, JBD, CD, PC), pp. 728–733.
DATE-2011-PanHHL #effectiveness: A cost-effective substantial-impact-filter based method to tolerate voltage emergencies (SP, YH, XH, XL), pp. 311–315.
DocEng-2011-AlmeidaHY #case study: Contributions to the study of SMS spam filtering: new collection and results (TAA, JMGH, AY), pp. 259–262.
ICDAR-2011-BukhariSB #set #using: Text-Line Extraction Using a Convolution of Isotropic Gaussian Filter with a Set of Line Filters (SSB, FS, TMB), pp. 579–583.
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.
SIGMOD-2011-LiDF #algorithm #approximate #named #performance: Faerie: efficient filtering algorithms for approximate dictionary-based entity extraction (GL, DD, JF), pp. 529–540.
ICPC-2011-LuciaPOPP #traceability #using: Improving IR-based Traceability Recovery Using Smoothing Filters (ADL, MDP, RO, AP, SP), pp. 21–30.
ICSM-2011-HouP #api #code completion #evaluation #sorting: An evaluation of the strategies of sorting, filtering, and grouping API methods for Code Completion (DH, DMP), pp. 233–242.
MSR-2011-HirataM: Do comments explain codes adequately?: investigation by text filtering (YH, OM), pp. 242–245.
CIAA-J-2010-AllauzenRS11 #algorithm #composition #finite #performance #transducer: A Filter-Based Algorithm for Efficient Composition of Finite-State Transducers (CA, MR, JS), pp. 1781–1795.
AFL-2011-ManeaT #network: Accepting Networks of Evolutionary Processors with Subregular Filters (FM, BT), pp. 300–314.
LATA-2011-DassowMT #network: Networks of Evolutionary Processors with Subregular Filters (JD, FM, BT), pp. 262–273.
DHM-2011-LeiY: Contact Area Determination between a N95 Filtering Facepiece Respirator and a Headform (ZL, J(Y), pp. 119–128.
HCI-UA-2011-HijikataYTN #development #information management: Development of Information Filtering Systems for Disaster Prevention (YH, TY, YT, SN), pp. 318–327.
HIMI-v1-2011-JeonLW #analysis: Analysis of Content Filtering Software (WJ, YL, DW), pp. 548–557.
CIKM-2011-BelloginWC #collaboration: Structured collaborative filtering (AB, JW, PC), pp. 2257–2260.
CIKM-2011-BoimMN #collaboration #recommendation #refinement: Diversification and refinement in collaborative filtering recommender (RB, TM, SN), pp. 739–744.
CIKM-2011-KoloniariNPS #distributed: One is enough: distributed filtering for duplicate elimination (GK, NN, EP, DS), pp. 433–442.
CIKM-2011-TomasATV #named #query #scalability: RoSeS: a continuous query processor for large-scale RSS filtering and aggregation (JCT, BA, NT, DV), pp. 2549–2552.
CIKM-2011-UysalC #approach #microblog #ranking #twitter: User oriented tweet ranking: a filtering approach to microblogs (IU, WBC), pp. 2261–2264.
CIKM-2011-WangBFG #clustering #information management: Filtering and clustering relations for unsupervised information extraction in open domain (WW, RB, OF, BG), pp. 1405–1414.
ECIR-2011-BelloginWC #collaboration #ranking #retrieval: Text Retrieval Methods for Item Ranking in Collaborative Filtering (AB, JW, PC), pp. 301–306.
ECIR-2011-LipkaS #information management #representation: Classifying with Co-stems — A New Representation for Information Filtering (NL, BS), pp. 307–313.
ECIR-2011-ShiLH #collaboration #multi #ranking #self: Reranking Collaborative Filtering with Multiple Self-contained Modalities (YS, ML, AH), pp. 699–703.
KDD-2011-MenonCGAK #collaboration #predict #using: Response prediction using collaborative filtering with hierarchies and side-information (AKM, KPC, SG, DA, NK), pp. 141–149.
KDD-2011-SimonKL #classification #statistics: A simple statistical model and association rule filtering for classification (GJS, VK, PWL), pp. 823–831.
KDIR-2011-GriffithOS #collaboration #learning #parametricity: Learning Neighbourhood-based Collaborative Filtering Parameters (JG, CO, HS), pp. 452–455.
MLDM-2011-AdolfHHCH #analysis #grid #power management: Techniques for Improving Filters in Power Grid Contingency Analysis (RA, DH, MH, YC, ZH), pp. 599–611.
RecSys-2011-GeXTL #collaboration: Collaborative filtering with collective training (YG, HX, AT, QL), pp. 281–284.
RecSys-2011-HuP #collaboration: Enhancing collaborative filtering systems with personality information (RH, PP), pp. 197–204.
RecSys-2011-KatzOSRS #collaboration #using #wiki: Using Wikipedia to boost collaborative filtering techniques (GK, NO, BS, LR, GS), pp. 285–288.
RecSys-2011-PizzatoS #collaboration #people #probability #recommendation: Stochastic matching and collaborative filtering to recommend people to people (LASP, CS), pp. 341–344.
RecSys-2011-TakacsPT #collaboration #feedback: Applications of the conjugate gradient method for implicit feedback collaborative filtering (GT, IP, DT), pp. 297–300.
RecSys-2011-ZhaoFLL #collaboration: Shared collaborative filtering (YZ, XF, JL, BL), pp. 29–36.
SEKE-2011-Martoglia #development #semantics: Facilitate IT-Providing SMEs in Software Development: a Semantic Helper for Filtering and Searching Knowledge (RM), pp. 130–136.
SIGIR-2011-LeeC #collaboration: Collaborative cyberporn filtering with collective intelligence (LHL, HHC), pp. 1153–1154.
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-WuW #collaboration: Rating-based collaborative filtering combined with additional regularization (SW, SW), pp. 1195–1196.
SIGIR-2011-YangLSZZ #collaboration #learning #recommendation #using: Collaborative competitive filtering: learning recommender using context of user choice (SHY, BL, AJS, HZ, ZZ), pp. 295–304.
SIGIR-2011-ZhangZX #documentation #feedback: Filtering semi-structured documents based on faceted feedback (LZ, YZ, QX), pp. 645–654.
SAC-2011-ZhangWAWLL #performance #using: Fast lists intersection with Bloom filter using graphics processing units (FZ, DW, NA, GW, XL, JL), pp. 825–826.
ASPLOS-2011-HayashizakiWISN #performance: Improving the performance of trace-based systems by false loop filtering (HH, PW, HI, MJS, TN), pp. 405–418.
HPCA-2011-BlakeDM #scheduling #transaction: Bloom Filter Guided Transaction Scheduling (GB, RGD, TNM), pp. 75–86.
CSL-2011-BernadetL #modelling #morphism #orthogonal #polymorphism: Filter Models: Non-idempotent Intersection Types, Orthogonality and Polymorphism (AB, SL), pp. 51–66.
TLCA-2011-BakelBd #λ-calculus #μ-calculus: A Filter Model for the λμ-Calculus — (Extended Abstract) (SvB, FB, Ud), pp. 213–228.
CASE-2010-SchirruPN #maintenance #predict #process #robust: Particle filtering of hidden Gamma processes for robust Predictive Maintenance in semiconductor manufacturing (AS, SP, GDN), pp. 51–56.
DATE-2010-ChengLW #diagrams #optimisation: Optimization of FIR filter to improve eye diagram for general transmission line systems (YSC, YCL, RBW), pp. 1321–1324.
DATE-2010-Jerger #named: SigNet: Network-on-chip filtering for coarse vector directories (NDEJ), pp. 1378–1383.
DATE-2010-VasicekSB #design #implementation: A method for design of impulse bursts noise filters optimized for FPGA implementations (ZV, LS, MB), pp. 1731–1736.
SIGMOD-2010-SternBB #approach #network #query: Processing continuous join queries in sensor networks: a filtering approach (MS, KB, EB), pp. 267–278.
ICSM-2010-ZawawyKM #analysis: Log filtering and interpretation for root cause analysis (HZ, KK, JM), pp. 1–5.
CIAA-2010-AllauzenRS #composition #finite #performance #transducer: Filters for Efficient Composition of Weighted Finite-State Transducers (CA, MR, JS), pp. 28–38.
CIKM-2010-LiHZC #collaboration: Improving one-class collaborative filtering by incorporating rich user information (YL, JH, CZ, YC), pp. 959–968.
CIKM-2010-LiuCXD #collaboration #personalisation #ranking: Exploiting user interests for collaborative filtering: interests expansion via personalized ranking (QL, EC, HX, CHQD), pp. 1697–1700.
CIKM-2010-LiuXZY #collaboration #feedback: Unifying explicit and implicit feedback for collaborative filtering (NNL, EWX, MZ, QY), pp. 1445–1448.
CIKM-2010-PengZZW #collaboration #recommendation #social: Collaborative filtering in social tagging systems based on joint item-tag recommendations (JP, DDZ, HZ, FYW), pp. 809–818.
CIKM-2010-ZhouLBXL #information management #mining #reasoning #set: Rough sets based reasoning and pattern mining for a two-stage information filtering system (XZ, YL, PB, YX, RYKL), pp. 1429–1432.
ECIR-2010-BelloginC #approach #collaboration #performance #predict: A Performance Prediction Approach to Enhance Collaborative Filtering Performance (AB, PC), pp. 382–393.
ECIR-2010-HuLW #collaboration: User’s Latent Interest-Based Collaborative Filtering (BH, ZL, JW), pp. 619–622.
ECIR-2010-JamborW #approach #collaboration #fault: Goal-Driven Collaborative Filtering — A Directional Error Based Approach (TJ, JW), pp. 407–419.
ECIR-2010-PiwowarskiFMLR #documentation: Filtering Documents with Subspaces (BP, IF, YM, ML, KvR), pp. 615–618.
ECIR-2010-RedpathGMC #collaboration #recommendation: Collaborative Filtering: The Aim of Recommender Systems and the Significance of User Ratings (JR, DHG, SIM, LC), pp. 394–406.
ICML-2010-AsuncionLIS: Particle Filtered MCMC-MLE with Connections to Contrastive Divergence (AUA, QL, ATI, PS), pp. 47–54.
ICML-2010-BontempiM #array: Causal filter selection in microarray data (GB, PEM), pp. 95–102.
ICML-2010-HarpaleY #adaptation #learning #multi: Active Learning for Multi-Task Adaptive Filtering (AH, YY), pp. 431–438.
ICPR-2010-AliL #correlation #question #recognition: Are Correlation Filters Useful for Human Action Recognition? (SA, SL), pp. 2608–2611.
ICPR-2010-AvenelMP #probability #set: Stochastic Filtering of Level Sets for Curve Tracking (CA, ÉM, PP), pp. 3553–3556.
ICPR-2010-BaradaraniMW #design #image #on the: On the Design of a Class of Odd-Length Biorthogonal Wavelet Filter Banks for Signal and Image Processing (AB, PM, QMJW), pp. 2282–2285.
ICPR-2010-CarneiroN #architecture #learning: The Fusion of Deep Learning Architectures and Particle Filtering Applied to Lip Tracking (GC, JCN), pp. 2065–2068.
ICPR-2010-DuB #image #segmentation: Retinal Image Segmentation Based on Mumford-Shah Model and Gabor Wavelet Filter (XD, TDB), pp. 3384–3387.
ICPR-2010-FahnC #algorithm #realtime #recognition: Real-Time Upper-Limbs Posture Recognition Based on Particle Filters and AdaBoost Algorithms (CSF, SLC), pp. 3854–3857.
ICPR-2010-GhaeminiaSS #adaptation #using: Adaptive Motion Model for Human Tracking Using Particle Filter (MHG, AHS, SBS), pp. 2073–2076.
ICPR-2010-Gonzalez-CaravacaTP: Phone-Conditioned Suboptimal Wiener Filtering (GGC, DTT, MP), pp. 4480–4483.
ICPR-2010-GrazziniDS #image #multi #using: Multichannel Image Regularisation Using Anisotropic Geodesic Filtering (JG, SED, PS), pp. 2664–2667.
ICPR-2010-HanerH #estimation #novel #online: On-Line Structure and Motion Estimation Based on a Novel Parameterized Extended Kalman Filter (SH, AH), pp. 1836–1839.
ICPR-2010-KimYJS #estimation #hybrid #robust #visual notation: Receding Horizon Estimation for Hybrid Particle Filters and Application for Robust Visual Tracking (DYK, EY, MJ, VS), pp. 3508–3512.
ICPR-2010-LathenCKB #detection #linear #robust: Non-ring Filters for Robust Detection of Linear Structures (GL, OC, HK, MB), pp. 233–236.
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-LiPBT #2d #recognition: Improved Facial Expression Recognition with Trainable 2-D Filters and Support Vector Machines (PL, SLP, AB, FHCT), pp. 3732–3735.
ICPR-2010-Manzanera #similarity: Local Jet Based Similarity for NL-Means Filtering (AM), pp. 2668–2671.
ICPR-2010-NasonovK #performance #using: Fast Super-Resolution Using Weighted Median Filtering (AVN, ASK), pp. 2230–2233.
ICPR-2010-NiSRM #learning #multi #online: Particle Filter Tracking with Online Multiple Instance Learning (ZN, SS, AR, BSM), pp. 2616–2619.
ICPR-2010-PapariCP #detection #novel #using: Steerable Filtering Using Novel Circular Harmonic Functions with Application to Edge Detection (GP, PC, NP), pp. 3947–3950.
ICPR-2010-PetersenK #analysis #estimation #modelling #process #statistics: Statistical Analysis of Kalman Filters by Conversion to Gauss-Helmert Models with Applications to Process Noise Estimation (AP, RK), pp. 2386–2389.
ICPR-2010-QinVG #detection #image: Background Filtering for Improving of Object Detection in Images (GQ, BV, LG), pp. 922–925.
ICPR-2010-QuelhasMC #3d #quantifier #using: 3D Cell Nuclei Fluorescence Quantification Using Sliding Band Filter (PQ, AMM, ACC), pp. 2508–2511.
ICPR-2010-SilvaLSBKT #classification #documentation: Enhancing the Filtering-Out of the Back-to-Front Interference in Color Documents with a Neural Classifier (GdFPeS, RDL, JMS, SB, AK, MT), pp. 2415–2419.
ICPR-2010-StarkWP #representation #speech #using: Single Channel Speech Separation Using Source-Filter Representation (MS, MW, FP), pp. 826–829.
ICPR-2010-SteerAM #data fusion #recognition #using: Audio-Visual Data Fusion Using a Particle Filter in the Application of Face Recognition (MAS, AAH, BM), pp. 4392–4395.
ICPR-2010-SunB #3d #detection: 3D Filtering for Injury Detection in Brain MRI (YS, BB), pp. 2568–2571.
ICPR-2010-SungCCB #3d #estimation #mobile: Coarse-to-Fine Particle Filter by Implicit Motion Estimation for 3D Head Tracking on Mobile Devices (HS, KC, SC, HB), pp. 3615–3618.
ICPR-2010-SutthiwichaipornAJ #quality: Iterative Fingerprint Enhancement with Matched Filtering and Quality Diffusion in Spatial-Frequency Domain (PS, VA, SJ), pp. 1257–1260.
ICPR-2010-ZhangHTW #3d #evaluation #framework #modelling #using: 3D Model Based Vehicle Tracking Using Gradient Based Fitness Evaluation under Particle Filter Framework (ZZ, KH, TT, YW), pp. 1771–1774.
KDIR-2010-AddisAV #categorisation: Assessing Progressive Filtering to Perform Hierarchical Text Categorization in Presence of Input Imbalance (AA, GA, EV), pp. 14–23.
KDIR-2010-BalcazarTZ: Filtering Association Rules with Negations on the Basis of Their Confidence Boost (JLB, CT, MEZ), pp. 263–268.
KDIR-2010-YakutPK #collaboration #named: PCF: Projection-based Collaborative Filtering (IY, HP, MK), pp. 408–413.
KR-2010-HajishirziA #probability #reasoning: Reasoning about Deterministic Actions with Probabilistic Prior and Application to Stochastic Filtering (HH, EA).
RecSys-2010-BaltrunasMR #collaboration #rank #recommendation: Group recommendations with rank aggregation and collaborative filtering (LB, TM, FR), pp. 119–126.
RecSys-2010-BarrioR #collaboration #recommendation: Geolocated movie recommendations based on expert collaborative filtering (JBB, XAR), pp. 347–348.
RecSys-2010-HannonBS #collaboration #recommendation #twitter #using: Recommending twitter users to follow using content and collaborative filtering approaches (JH, MB, BS), pp. 199–206.
RecSys-2010-JamborW #collaboration #multi #optimisation: Optimizing multiple objectives in collaborative filtering (TJ, JW), pp. 55–62.
RecSys-2010-KamishimaA #approach #collaboration #modelling: Nantonac collaborative filtering: a model-based approach (TK, SA), pp. 273–276.
RecSys-2010-KaragiannidisAZV #framework #named #recommendation: Hydra: an open framework for virtual-fusion of recommendation filters (SK, SA, CZ, AV), pp. 229–232.
RecSys-2010-KaratzoglouABO #collaboration #multi #recommendation: Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering (AK, XA, LB, NO), pp. 79–86.
RecSys-2010-KhoshneshinS #collaboration: Collaborative filtering via euclidean embedding (MK, WNS), pp. 87–94.
RecSys-2010-KhoshneshinS10a #clustering #collaboration #incremental: Incremental collaborative filtering via evolutionary co-clustering (MK, WNS), pp. 325–328.
RecSys-2010-LiuZXY #collaboration #online: Online evolutionary collaborative filtering (NNL, MZ, EWX, QY), pp. 95–102.
RecSys-2010-PessemierDDM #algorithm #collaboration #dependence #quality: Time dependency of data quality for collaborative filtering algorithms (TDP, SD, TD, LM), pp. 281–284.
RecSys-2010-ShiLH #collaboration #learning #matrix #rank: List-wise learning to rank with matrix factorization for collaborative filtering (YS, ML, AH), pp. 269–272.
SEKE-2010-DuanCZQY #clustering #slicing #testing: Improving Cluster Selection Techniques of Regression Testing by Slice Filtering (YD, ZC, ZZ, JQ, ZY), pp. 253–258.
SEKE-2010-Wang10a: Temporal Filter: A Temporal Extension to Wireshark Display Filter (Short Paper) (SW), pp. 421–424.
SIGIR-2010-ElliotGPA: Finding and filtering information for children (DE, RG, TP, LA), p. 702.
SIGIR-2010-FernandezPLB #approach #clustering: Where to start filtering redundancy?: a cluster-based approach (RTF, JP, DEL, AB), pp. 735–736.
SIGIR-2010-LiuW #email #learning #multi: Multi-field learning for email spam filtering (WL, TW), pp. 745–746.
SIGIR-2010-MojdehC #consistency #learning #using: Semi-supervised spam filtering using aggressive consistency learning (MM, GVC), pp. 751–752.
SIGIR-2010-NanasVR #information management: A network-based model for high-dimensional information filtering (NN, MV, ANDR), pp. 202–209.
SIGIR-2010-QiYHL: Re-examination on lam% in spam filtering (HQ, MY, XH, SL), pp. 757–758.
SIGIR-2010-SriramFDFD #classification #information management #twitter: Short text classification in twitter to improve information filtering (BS, DF, ED, HF, MD), pp. 841–842.
SAC-2010-AlmeidaYA #anti #probability #reduction: Probabilistic anti-spam filtering with dimensionality reduction (TAA, AY, JA), pp. 1802–1806.
SAC-2010-AlmeidaYA10a #principle #using: Filtering spams using the minimum description length principle (TAA, AY, JA), pp. 1854–1858.
SAC-2010-KarakashianWCB #consistency #constraints #relational: Relational consistency by constraint filtering (SK, RJW, BYC, CB), pp. 2073–2074.
SAC-2010-Mello: Filtering the shadows from poorly illuminated photos (CABM), pp. 1599–1600.
LDTA-2010-BastenV #ambiguity #detection #performance: Faster ambiguity detection by grammar filtering (BB, JJV), p. 5.
ASPLOS-2010-HarrisTCU #architecture #multi #runtime: Dynamic filtering: multi-purpose architecture support for language runtime systems (TH, ST, AC, OSÜ), pp. 39–52.
HPCA-2010-JiangMZUIMNSB #adaptation #named: CHOP: Adaptive filter-based DRAM caching for CMP server platforms (XJ, NM, LZ, MU, RI, SM, DN, YS, RB), pp. 1–12.
OSDI-2010-WuCY #execution: Bypassing Races in Live Applications with Execution Filters (JW, HC, JY), pp. 135–149.
CASE-2009-KumarWKSS #analysis #fuzzy #predict #using #variability: A fuzzy filtering based system for maximal oxygen uptake prediction using heart rate variability analysis (MK, MW, SK, NS, RS), pp. 604–608.
CASE-2009-SaketiKNVK #automation #composition: Automated modular bacterial filtering system with embeddable microfluidic chips (PS, JMK, KN, LV, PJK), pp. 212–216.
DATE-2009-AfratisGSMCPP #database #design #implementation: Design and implementation of a database filter for BLAST acceleration (PA, CG, ES, GGM, GC, IP, DNP), pp. 166–171.
SIGMOD-2009-TerleckiBGZ #statistics: Filtered statistics (PT, HB, CAGL, PZ), pp. 897–904.
CIAA-2009-Sastre-Martinez #network #parsing #performance #recursion #using: Efficient Parsing Using Filtered-Popping Recursive Transition Networks (JMSM), pp. 241–244.
CHI-2009-CramerESW #adaptation #interactive #trust: Awareness, training and trust in interaction with adaptive spam filters (HSMC, VE, MvS, BJW), pp. 909–912.
HCI-NIMT-2009-FahnKW #realtime #recognition: Real-Time Face Tracking and Recognition Based on Particle Filtering and AdaBoosting Techniques (CSF, MJK, KYW), pp. 198–207.
ICEIS-SAIC-2009-CiuffoI #case study #collaboration #information management #recommendation #using: Using Grids to Support Information Filtering Systems — A Case Study of Running Collaborative Filtering Recommendations on gLite (LNC, EI), pp. 12–18.
CIKM-2009-AlgarniLXL #effectiveness #feedback #information management #using: An effective model of using negative relevance feedback for information filtering (AA, YL, YX, RYKL), pp. 1605–1608.
CIKM-2009-AnastasakosHKR #approach #collaboration #graph #recommendation #using: A collaborative filtering approach to ad recommendation using the query-ad click graph (TA, DH, SK, HR), pp. 1927–1930.
CIKM-2009-LiuZY #analysis #collaboration #probability: Probabilistic latent preference analysis for collaborative filtering (NNL, MZ, QY), pp. 759–766.
CIKM-2009-MaYKL #collaboration #consistency #matrix #statistics: Semi-nonnegative matrix factorization with global statistical consistency for collaborative filtering (HM, HY, IK, MRL), pp. 767–776.
ECIR-2009-MoshfeghiAPJ #collaboration #predict #rating #recommendation #semantics: Movie Recommender: Semantically Enriched Unified Relevance Model for Rating Prediction in Collaborative Filtering (YM, DA, BP, JMJ), pp. 54–65.
ECIR-2009-NamNLL #difference #named: DiffPost: Filtering Non-relevant Content Based on Content Difference between Two Consecutive Blog Posts (SHN, SHN, YL, JHL), pp. 791–795.
ICML-2009-DeisenrothHH #process: Analytic moment-based Gaussian process filtering (MPD, MFH, UDH), pp. 225–232.
ICML-2009-LiYX #collaboration #generative #learning: Transfer learning for collaborative filtering via a rating-matrix generative model (BL, QY, XX), pp. 617–624.
KDD-2009-Koren #collaboration: Collaborative filtering with temporal dynamics (YK), pp. 447–456.
KDD-2009-PanS #collaboration #scalability: Mind the gaps: weighting the unknown in large-scale one-class collaborative filtering (RP, MS), pp. 667–676.
KDIR-2009-GhemtioSDSM #approach #design: A KDD Approach for Designing Filtering Strategies to Improve Virtual Screening (LG, MST, MDD, MS, BM), pp. 146–151.
RecSys-2009-BaltrunasR #collaboration: Context-based splitting of item ratings in collaborative filtering (LB, FR), pp. 245–248.
RecSys-2009-Bitton #collaboration #online: A spatial model for collaborative filtering of comments in an online discussion forum (EB), pp. 393–396.
RecSys-2009-CamposFHR #collaboration #predict: Measuring predictive capability in collaborative filtering (LMdC, JMFL, JFH, MARM), pp. 313–316.
RecSys-2009-GarcinFJJ #collaboration #rating: Rating aggregation in collaborative filtering systems (FG, BF, RJ, NJ), pp. 349–352.
RecSys-2009-LuAD #approach #collaboration: A spatio-temporal approach to collaborative filtering (ZL, DA, ISD), pp. 13–20.
RecSys-2009-NanopoulosRI #collaboration #how #question: How does high dimensionality affect collaborative filtering? (AN, MR, MI), pp. 293–296.
RecSys-2009-PannielloTGPP #comparison #recommendation: Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems (UP, AT, MG, CP, AP), pp. 265–268.
RecSys-2009-ParraB #collaboration #empirical #social: Collaborative filtering for social tagging systems: an experiment with CiteULike (DP, PB), pp. 237–240.
RecSys-2009-RoyY #collaboration: Manipulation-resistant collaborative filtering systems (BVR, XY), pp. 165–172.
RecSys-2009-SchclarTRMA #collaboration #performance: Ensemble methods for improving the performance of neighborhood-based collaborative filtering (AS, AT, LR, AM, LA), pp. 261–264.
RecSys-2009-ShiLH #collaboration #similarity: Exploiting user similarity based on rated-item pools for improved user-based collaborative filtering (YS, ML, AH), pp. 125–132.
RecSys-2009-ShokriPTH #collaboration #distributed #privacy: Preserving privacy in collaborative filtering through distributed aggregation of offline profiles (RS, PP, GT, JPH), pp. 157–164.
RecSys-2009-ZhenLY #collaboration #named: TagiCoFi: tag informed collaborative filtering (YZ, WJL, DYY), pp. 69–76.
SEKE-2009-MukhopadhyayPRPM #benchmark #comparison #information management #metric #multi #set: Comparison of Some Single-agent and Multi-agent Information Filtering Systems on a Benchmark Text Data Set (SM, SP, RRR, MJP, JM), pp. 185–188.
SIGIR-2009-AmatriainLPKO #approach #collaboration #web: The wisdom of the few: a collaborative filtering approach based on expert opinions from the web (XA, NL, JMP, HK, NO), pp. 532–539.
SIGIR-2009-AzzopardiVM #energy #performance: Developing energy efficient filtering systems (LA, WV, MM), pp. 664–665.
SIGIR-2009-CormackC #email #on the: On the relative age of spam and ham training samples for email filtering (GVC, JMMdC), pp. 744–745.
SIGIR-2009-CormackK #evaluation: Spam filter evaluation with imprecise ground truth (GVC, AK), pp. 604–611.
SIGIR-2009-LathiaHC #adaptation #collaboration: Temporal collaborative filtering with adaptive neighbourhoods (NL, SH, LC), pp. 796–797.
SIGIR-2009-RaghavanH #modelling #quality: A relevance model based filter for improving ad quality (HR, DH), pp. 762–763.
SIGIR-2009-YuZLG #collaboration #matrix #parametricity #performance #scalability: Fast nonparametric matrix factorization for large-scale collaborative filtering (KY, SZ, JDL, YG), pp. 211–218.
PADL-2009-MaldeO #analysis #haskell #scalability #sequence #using: Using Bloom Filters for Large Scale Gene Sequence Analysis in Haskell (KM, BO), pp. 183–194.
SAC-2009-HohfeldGBBSS #collaboration #multi #self: Self-organizing collaborative filtering in global-scale massive multi-user virtual environments (AH, PG, AB, JB, HS, IS), pp. 1719–1723.
SAC-2009-OlowoyeyeTF #segmentation #using: Medical volume segmentation using bank of Gabor filters (AO, MT, SF), pp. 826–829.
SAC-2009-PengC #collaboration #multi #named #recommendation #trust: iTrustU: a blog recommender system based on multi-faceted trust and collaborative filtering (TCP, ScTC), pp. 1278–1285.
SAC-2009-SchmidtSS #approach #personalisation #social #using #web: Socially filtered web search: an approach using social bookmarking tags to personalize web search (KUS, TS, LS), pp. 670–674.
SAC-2009-YounM09a #email #embedded #image: Improved spam filtering by extraction of information from text embedded image e-mail (SY, DM), pp. 1754–1755.
ASPLOS-2009-RamaniGD #architecture #named: StreamRay: a stream filtering architecture for coherent ray tracing (KR, CPG, AD), pp. 325–336.
CASE-2008-TianL: Particle filter positioning and tracking based on dynamic model (ZT, LL), pp. 756–759.
DATE-2008-MatteisDB: Advanced Analog Filters for Telecommunications (MDM, SD, AB), pp. 1316–1321.
PODS-2008-LiuPRY #algorithm #problem: A generic flow algorithm for shared filter ordering problems (ZL, SP, AR, HY), pp. 79–88.
SIGMOD-2008-ChakrabartiCGX #approximate #performance: An efficient filter for approximate membership checking (KC, SC, VG, DX), pp. 805–818.
SIGMOD-2008-LiuPRY #algorithm #data type #evaluation: Near-optimal algorithms for shared filter evaluation in data stream systems (ZL, SP, AR, HY), pp. 133–146.
VLDB-2008-SilvastiSS #automaton: XML-document-filtering automaton (PS, SS, ESS), pp. 1666–1671.
ICSM-2008-ZhangBJAL #analysis #generative #visual notation: Query-based filtering and graphical view generation for clone analysis (YZ, HAB, SJ, DA, ML), pp. 376–385.
MSR-2008-HataMK #precise #using: An extension of fault-prone filtering using precise training and a dynamic threshold (HH, OM, TK), pp. 89–98.
CAiSE-2008-GuoHLD #adaptation #dependence #maintenance #named: KAF: Kalman Filter Based Adaptive Maintenance for Dependability of Composite Services (HG, JH, YL, TD), pp. 328–342.
CIKM-2008-HoweF #collaboration #parametricity: Re-considering neighborhood-based collaborative filtering parameters in the context of new data (AEH, RDF), pp. 1481–1482.
CIKM-2008-LiZBXL #information management #mining: A two-stage text mining model for information filtering (YL, XZ, PB, YX, RYKL), pp. 1023–1032.
CIKM-2008-LuoY #maintenance #online #performance: Content-based filtering for efficient online materialized view maintenance (GL, PSY), pp. 163–172.
CIKM-2008-RosenfeldFU #classification #sequence #using #web: Using sequence classification for filtering web pages (BR, RF, LHU), pp. 1355–1356.
CIKM-2008-VatturiGDMB #personalisation #recommendation: Tag-based filtering for personalized bookmark recommendations (PKV, WG, CD, MJM, BB), pp. 1395–1396.
CIKM-2008-YinPM #named #summary: PBFilter: indexing flash-resident data through partitioned summaries (SY, PP, XM), pp. 1333–1334.
ICPR-2008-Baradarani #segmentation #using: Moving object segmentation using the 9/7-10/8 dual-tree complex filter bank (AB), pp. 1–4.
ICPR-2008-ChaeCY #detection #performance: Color filtering-based efficient face detection (YNC, JC, HSY), pp. 1–4.
ICPR-2008-ChenTZ #classification #novel: Spam filtering with several novel bayesian classifiers (CC, YT, CZ), pp. 1–4.
ICPR-2008-DarbyLC #behaviour: Behaviour based particle filtering for human articulated motion tracking (JD, BL, NPC), pp. 1–4.
ICPR-2008-DeselaersPN #classification #image #modelling: Bag-of-visual-words models for adult image classification and filtering (TD, LP, HN), pp. 1–4.
ICPR-2008-GuehamBC #automation #classification #correlation #forensics #using: Automatic classification of partial shoeprints using Advanced Correlation Filters for use in forensic science (MG, AB, DC), 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-HuangLZ #detection: A method of small object detection and tracking based on particle filters (YH, JL, CZ), pp. 1–4.
ICPR-2008-KangKNN #image #multi #recognition #segmentation #using: Multiband image segmentation and object recognition using texture filter banks (YK, KK, TN, YN), pp. 1–4.
ICPR-2008-KleinLM #using: Preceding car tracking using belief functions and a particle filter (JK, CL, PM), pp. 1–4.
ICPR-2008-LeeWCYL #approach #video: Extended Kalman filtering approach to stereo video stabilization (KKL, KhW, MMYC, YKY, MKL), pp. 1–4.
ICPR-2008-PalaioB #adaptation #multi #using: Multi-object tracking using an adaptive transition model particle filter with region covariance data association (HP, JB), pp. 1–4.
ICPR-2008-SubrahmanyamRAR #reduction: Edge-preserving unscented Kalman filter for speckle reduction (GRKSS, ANR, RA, GR), pp. 1–4.
ICPR-2008-TranTJ #anti #linear #network #probability: An adjustable combination of linear regression and modified probabilistic neural network for anti-spam filtering (TPT, PT, TJ), pp. 1–4.
ICPR-2008-UlkerGK #multi: A multiple model structure for tracking by variable rate particle filters (YÜ, BG, SK), pp. 1–4.
ICPR-2008-WangZZ #multi: Multivariate Laplace Filter: A heavy-tailed model for target tracking (DW, CZ, XZ), pp. 1–4.
ICPR-2008-YanZ #correlation #multimodal #using: Multimodal biometrics fusion using Correlation Filter Bank (YY, YJZ), pp. 1–4.
ICPR-2008-ZhangHZWLW #robust #visual notation: SVD based Kalman particle filter for robust visual tracking (XZ, WH, ZZ, YW, XL, QW), pp. 1–4.
ICPR-2008-ZuriarrainLAD #multi: An MCMC-based particle filter for multiple person tracking (IZ, FL, NAA, MD), pp. 1–4.
KDD-2008-ChangYM: Partitioned logistic regression for spam filtering (MWC, WtY, CM), pp. 97–105.
KDD-2008-ChenZC #collaboration #community #personalisation #recommendation: Combinational collaborative filtering for personalized community recommendation (WC, DZ, EYC), pp. 115–123.
KDD-2008-Koren #collaboration #multi: Factorization meets the neighborhood: a multifaceted collaborative filtering model (YK), pp. 426–434.
RecSys-2008-DingZYZFB #collaboration #fault #predict #statistics: Boosting collaborative filtering based on statistical prediction errors (SD, SZ, QY, XZ, RF, LDB), pp. 3–10.
RecSys-2008-Koren #collaboration #tutorial: Tutorial on recent progress in collaborative filtering (YK), pp. 333–334.
RecSys-2008-MaidelSST #evaluation #personalisation: Evaluation of an ontology-content based filtering method for a personalized newspaper (VM, PS, BS, MTM), pp. 91–98.
RecSys-2008-SchifanellaPGR #ad hoc #collaboration #mobile #named #network #self: MobHinter: epidemic collaborative filtering and self-organization in mobile ad-hoc networks (RS, AP, CG, GR), pp. 27–34.
RecSys-2008-WeimerKS #adaptation #collaboration: Adaptive collaborative filtering (MW, AK, AJS), pp. 275–282.
RecSys-2008-YildirimK #collaboration #problem #random: A random walk method for alleviating the sparsity problem in collaborative filtering (HY, MSK), pp. 131–138.
SEKE-2008-DrumondGS #analysis #information management #semantics #similarity #web: A Similarity Analysis Model for Semantic Web Information Filtering Applications (LD, RG, FS), pp. 638–642.
SIGIR-2008-HarpaleY #collaboration #learning #personalisation: Personalized active learning for collaborative filtering (AH, YY), pp. 91–98.
SIGIR-2008-LiuY #approach #collaboration #named: EigenRank: a ranking-oriented approach to collaborative filtering (NNL, QY), pp. 83–90.
SIGIR-2008-MehtaN #collaboration: Attack resistant collaborative filtering (BM, WN), pp. 75–82.
SIGIR-2008-MojdehC #question: Semi-supervised spam filtering: does it work? (MM, GVC), pp. 745–746.
SIGIR-2008-Zhang #collaboration #relational: Relational distance-based collaborative filtering (WZ), pp. 877–878.
SIGIR-2008-ZimmerTW #approximate #correlation #information management #keyword: Exploiting correlated keywords to improve approximate information filtering (CZ, CT, GW), pp. 323–330.
SAC-2008-AbbesBR #detection: An inference system for detecting firewall filtering rules anomalies (TA, AB, MR), pp. 2122–2128.
SAC-2008-GiorgiB #performance: Filtering drowsy instruction cache to achieve better efficiency (RG, PB), pp. 1554–1555.
SAC-2008-MerhavF #on the #peer-to-peer: On filtering irrelevant results in peer-to-peer search (YM, OF), pp. 1171–1172.
SAC-2008-SuKZG #classification #collaboration #machine learning #using: Imputation-boosted collaborative filtering using machine learning classifiers (XS, TMK, XZ, RG), pp. 949–950.
SAC-2008-Tso-SutterMS #algorithm #collaboration #recommendation: Tag-aware recommender systems by fusion of collaborative filtering algorithms (KHLTS, LBM, LST), pp. 1995–1999.
HPCA-2008-SalapuraBG #design #implementation: Design and implementation of the blue gene/P snoop filter (VS, MAB, AG), pp. 5–14.
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.
CASE-2007-KumarSKTS #fuzzy: Fuzzy Filtering for an Intelligent Interpretation of Medical Data (MK, NS, DK, KT, RS), pp. 225–230.
CASE-2007-RajruangrabinP: Enhancement of Manipulator Interactivity through Compliant Skin and Extended Kalman Filtering (JR, DOP), pp. 1111–1116.
CASE-2007-VidalA #visual notation: Window-Matching Techniques with Kalman Filtering for an Improved Object Visual Tracking (FdBV, VHCA), pp. 829–834.
DAC-2007-AksoyCFM #metric #optimisation #using: Optimization of Area in Digital FIR Filters using Gate-Level Metrics (LA, EACdC, PFF, JCM), pp. 420–423.
DATE-2007-ArbeloKLLBSM #architecture #configuration management #kernel #video: Mapping control-intensive video kernels onto a coarse-grain reconfigurable architecture: the H.264/AVC deblocking filter (CA, AK, SL, JFL, MB, RS, JYM), pp. 177–182.
DATE-2007-LataireVP #design #interactive #multi #optimisation #using: Interactive presentation: Optimizing analog filter designs for minimum nonlinear distortions using multisine excitations (JL, GV, RP), pp. 267–272.
DATE-2007-MatarreseMCDB #algorithm #performance #validation: Experimental validation of a tuning algorithm for high-speed filters (GM, CM, FC, SD, AB), pp. 421–426.
DocEng-2007-ThetNK #web: Filtering product reviews from web search results (TTT, JCN, CSGK), pp. 196–198.
ICDAR-2007-ZhangL #recognition: A New Vectorial Signature for Quick Symbol Indexing, Filtering and Recognition (WZ, WL), pp. 536–540.
PODS-2007-MunagalaSW #optimisation #query: Optimization of continuous queries with shared expensive filters (KM, US, JW), pp. 215–224.
MSR-2007-MizunoINK #approach: Spam Filter Based Approach for Finding Fault-Prone Software Modules (OM, SI, SN, TK), p. 4.
CHI-2007-LampeJR: Follow the reader: filtering comments on slashdot (CL, EWJ, PR), pp. 1253–1262.
DHM-2007-XuWZZ #algorithm #complexity #predict: An Epileptic Seizure Prediction Algorithm from Scalp EEG Based on Morphological Filter and Kolmogorov Complexity (GX, JW, QZ, JZ), pp. 736–746.
HCI-MIE-2007-KimKEKASK #adaptation #detection #realtime #using: Real-Time Face Tracking System Using Adaptive Face Detector and Kalman Filter (JHK, BDK, JSE, CK, SHA, BJS, SKK), pp. 669–678.
HCI-MIE-2007-KomogortsevK #design #interface: Kalman Filtering in the Design of Eye-Gaze-Guided Computer Interfaces (OK, JIK), pp. 679–689.
HCI-MIE-2007-OkadaI #collaboration #evaluation #recommendation: Evaluation of P2P Information Recommendation Based on Collaborative Filtering (HO, MI), pp. 449–458.
HIMI-MTT-2007-KimK #ad hoc #mobile #network #performance: Distance-Based Bloom Filter for an Efficient Search in Mobile Ad Hoc Networks (BK, KK), pp. 471–479.
HIMI-MTT-2007-OkaMS #information management: An Information Filtering Method Based on User’s Moods, Situations, and Preferences (MO, HM, MS), pp. 715–719.
ICEIS-AIDSS-2007-PessiotTUAG #collaboration #learning #rank: Learning to Rank for Collaborative Filtering (JFP, TVT, NU, MRA, PG), pp. 145–151.
CIKM-2007-CormackHS: Spam filtering for short messages (GVC, JMGH, EPS), pp. 313–320.
ECIR-2007-KimY #collaboration #effectiveness: An Effective Threshold-Based Neighbor Selection in Collaborative Filtering (THK, SBY), pp. 712–715.
ECIR-2007-Nanopoulos #collaboration #correlation #transitive: Collaborative Filtering Based on Transitive Correlations Between Items (AN), pp. 368–380.
ICML-2007-SalakhutdinovMH #collaboration #strict: Restricted Boltzmann machines for collaborative filtering (RS, AM, GEH), pp. 791–798.
KDD-2007-ParkP #collaboration #ranking: Applying collaborative filtering techniques to movie search for better ranking and browsing (STP, DMP), pp. 550–559.
MLDM-2007-CandillierMB #collaboration #state of the art: Comparing State-of-the-Art Collaborative Filtering Systems (LC, FM, MB), pp. 548–562.
MLDM-2007-MendezCGRD #performance: Analyzing the Performance of Spam Filtering Methods When Dimensionality of Input Vector Changes (JRM, BC, DGP, FFR, FD), pp. 364–378.
MLDM-2007-YuZWZ #3d #image #retrieval: A Filter-Refinement Scheme for 3D Model Retrieval Based on Sorted Extended Gaussian Image Histogram (ZY, SZ, HSW, JZ), pp. 643–652.
RecSys-2007-BerkovskyEKR #collaboration #distributed #privacy: Enhancing privacy and preserving accuracy of a distributed collaborative filtering (SB, YE, TK, FR), pp. 9–16.
RecSys-2007-BerkovskyKR #collaboration #distributed: Distributed collaborative filtering with domain specialization (SB, TK, FR), pp. 33–40.
RecSys-2007-LathiaHC #collaboration #distributed #metric #using: Private distributed collaborative filtering using estimated concordance measures (NL, SH, LC), pp. 1–8.
RecSys-2007-MehtaHN #collaboration #robust: Robust collaborative filtering (BM, TH, WN), pp. 49–56.
RecSys-2007-ZhangP #algorithm #collaboration #predict #recommendation #recursion: A recursive prediction algorithm for collaborative filtering recommender systems (JZ, PP), pp. 57–64.
SIGIR-2007-CormackHS #mobile #re-engineering: Feature engineering for mobile (SMS) spam filtering (GVC, JMGH, EPS), pp. 871–872.
SIGIR-2007-HagedornCA #information management: World knowledge in broad-coverage information filtering (BAH, MC, JA), pp. 801–802.
SIGIR-2007-MaKL #collaboration #effectiveness #predict: Effective missing data prediction for collaborative filtering (HM, IK, MRL), pp. 39–46.
SIGIR-2007-PasiBV #multi: A multi-criteria content-based filtering system (GP, GB, RV), pp. 775–776.
SIGIR-2007-SculleyW #online: Relaxed online SVMs for spam filtering (DS, GW), pp. 415–422.
SAC-2007-KassabL #analysis #effectiveness #personalisation #towards: Towards a synthetic analysis of user’s information need for more effective personalized filtering services (RK, JCL), pp. 852–859.
SAC-2007-SilvaL #algorithm #documentation #performance: A fast algorithm to binarize and filter documents with back-to-front interference (JMMdS, RDL), pp. 639–640.
SAC-2007-YiKOJKD #detection #hardware #performance: Memory-efficient content filtering hardware for high-speed intrusion detection systems (SY, BKK, JO, JJ, GK, CRD), pp. 264–269.
SAC-2007-ZhangMC #fuzzy #image #retrieval #set: Directed filter for dominant direction fuzzy set in content-based image retrieval (GZ, ZMM, ZC), pp. 76–77.
ESEC-FSE-2007-MizunoK #detection #empirical #fault: Training on errors experiment to detect fault-prone software modules by spam filter (OM, TK), pp. 405–414.
HPCA-2007-QureshiSP #capacity #word: Line Distillation: Increasing Cache Capacity by Filtering Unused Words in Cache Lines (MKQ, MAS, YNP), pp. 250–259.
CASE-2006-SchiffG #automation #network #using: Automated Intruder Tracking using Particle Filtering and a Network of Binary Motion Sensors (JS, KG), pp. 580–587.
CASE-2006-XuWZZ #algorithm #automation #detection #using: An Automatic EEG Spike Detection Algorithm Using Morphological Filter (GX, JW, QZ, JZ), pp. 170–175.
DAC-2006-AksoyCFM #constraints #integer #linear #optimisation #programming #satisfiability #synthesis #using: Optimization of area under a delay constraint in digital filter synthesis using SAT-based integer linear programming (LA, EACdC, PFF, JM), pp. 669–674.
DATE-2006-GianniniNBCCDB #design #power management #synthesis: A synthesis tool for power-efficient base-band filter design (VG, PN, FDB, JC, BC, SD, AB), pp. 162–163.
DATE-2006-PanditKMP #hardware #higher-order #synthesis: High level synthesis of higher order continuous time state variable filters with minimum sensitivity and hardware count (SP, SK, CAM, AP), pp. 1203–1204.
DATE-DF-2006-FanucciCSKWSALM #design #image #linear #synthesis: ASIP design and synthesis for non linear filtering in image processing (LF, MC, SS, DK, EMW, OS, GA, RL, HM), pp. 233–238.
DocEng-2006-HidalgoBSG: Content based SMS spam filtering (JMGH, GCB, EPS, FCG), pp. 107–114.
DocEng-2006-QeliF #aspect-oriented #documentation #programming #using #xml #xpath: Filtering XML documents using XPath expressions and aspect-oriented programming (EQ, BF), pp. 85–87.
PODS-2006-CondonDHW #algorithm #pipes and filters #problem: Flow algorithms for two pipelined filter ordering problems (AC, AD, LH, NW), pp. 193–202.
SIGMOD-2006-DengR #approximate #detection #streaming #using: Approximately detecting duplicates for streaming data using stable bloom filters (FD, DR), pp. 25–36.
VLDB-2006-CandanHCTA #adaptation #clustering #named #xml: AFilter: Adaptable XML Filtering with Prefix-Caching and Suffix-Clustering (KSC, WPH, SC, JT, DA), pp. 559–570.
SEFM-2006-BanachD: Filtering Retrenchments into Refinements (RB, JD), pp. 60–69.
CHI-2006-CutrellRDS #flexibility #performance: Fast, flexible filtering with phlat (EC, DCR, STD, RS), pp. 261–270.
CSCW-2006-SenGMMBWM #collaboration #named: FeedMe: a collaborative alert filtering system (SS, WG, MJM, MM, BB, EW, DRM), pp. 89–98.
ICEIS-AIDSS-2006-BerkovskyEM #collaboration: Collaborative Filtering Based on Content Addressing (SB, YE, LMM), pp. 91–98.
ICEIS-DISI-2006-GroppeG #query #satisfiability #xpath: Filtering Unsatisfiable XPATH Queries (JG, SG), pp. 157–162.
ICEIS-HCI-2006-LiSB #correlation #hybrid #recognition #sketching #synthesis #using: Face Recognition from Sketches Using Advanced Correlation Filters Using Hybrid Eigenanalysis for Face Synthesis (YhL, MS, VB), pp. 11–18.
ICEIS-J-2006-BerkovskyEM06a #collaboration #nearest neighbour #retrieval: Retrieval of Collaborative Filtering Nearest Neighbors in a Content-Addressable Space (SB, YE, LMM), pp. 159–178.
CIKM-2006-NasraouiCRG #collaboration: Collaborative filtering in dynamic usage environments (ON, JC, CR, FAG), pp. 794–795.
CIKM-2006-ShiN #adaptation #corpus #information retrieval #parallel: Filtering or adapting: two strategies to exploit noisy parallel corpora for cross-language information retrieval (LS, JYN), pp. 814–815.
ECIR-2006-FreschiSB #email #obfuscation #string: Filtering Obfuscated Email Spam by means of Phonetic String Matching (VF, AS, AB), pp. 505–509.
ECIR-2006-WangVR #collaboration: A User-Item Relevance Model for Log-Based Collaborative Filtering (JW, APdV, MJTR), pp. 37–48.
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.
ICPR-v1-2006-Bernier #3d #realtime #using: Real-Time 3D Articulated Pose Tracking using Particle Filters Interacting through Belief Propagation (OB), pp. 90–93.
ICPR-v1-2006-Czyz #detection #video: Object Detection in Video via Particle Filters (JC), pp. 820–823.
ICPR-v1-2006-Katayama #using: Camera Calibration with a Transparent Calibration Tool Using Color Filters: Application to Stereo Camera Calibration for a Distant Object (YK), pp. 607–612.
ICPR-v1-2006-LiuJK #retrieval: Fingerprint Retrieval by Complex Filter Responses (ML, XJ, ACK), p. 1042.
ICPR-v1-2006-Marin-JimenezB #categorisation #empirical #multi: Empirical Study of Multi-scale Filter Banks for Object Categorization (MJMJ, NPdlB), pp. 578–581.
ICPR-v1-2006-PupilliC #3d #modelling #realtime #using: Real-Time Camera Tracking Using Known 3D Models and a Particle Filter (MP, AC), pp. 199–203.
ICPR-v1-2006-TongSS #estimation: Continuous-Discrete Filtering for Cardiac Kinematics Estimation under Spatio-Temporal Biomechanical Constrains (ST, AJS, PS), pp. 167–170.
ICPR-v1-2006-WashizawaY #kernel: Non-linear Wiener filter in reproducing kernel Hilbert space (YW, YY), pp. 967–970.
ICPR-v2-2006-HeW #composition #empirical #image: Spatial-variant Image Filtering Based on Bidimensional Empirical Mode Decomposition (LH, HW), pp. 1196–1199.
ICPR-v2-2006-Hotta #adaptation #classification: Adaptive Weighting of Local Classifiers by Particle Filter (KH), pp. 610–613.
ICPR-v2-2006-Mancas-ThillouG #using: Character Segmentation-by-Recognition Using Log-Gabor Filters (CMT, BG), pp. 901–904.
ICPR-v2-2006-OsawaWWY #3d #using: Human Tracking by Particle Filtering Using Full 3D Model of Both Target and Environment (TO, XW, KW, TY), pp. 25–28.
ICPR-v2-2006-TsaiTCY #analysis #component #design #detection #fault #image #independence: Independent component analysis based filter design for defect detection in low-contrast textured images (DMT, YHT, SMC, CHY), pp. 231–234.
ICPR-v2-2006-ZhangPB #classification #learning #representation: Learning Optimal Filter Representation for Texture Classification (PZ, JP, BPB), pp. 1138–1141.
ICPR-v3-2006-ChairunnandaGC #distance #edit distance #sequence #using: Enhancing Edit Distance on Real Sequences Filters using Histogram Distance on Fixed Reference Ordering (PC, VG, LC), pp. 582–585.
ICPR-v3-2006-Eidenberger #identification #image #robust: Kalman Filtering for Robust Identification of Face Images with Varying Expressions and Lighting Conditions (HE), pp. 1073–1076.
ICPR-v3-2006-KohmuraW #algorithm #search-based #using: Determining Optimal Filters for Binarization of Degraded Characters in Color Using Genetic Algorithms (HK, TW), pp. 661–664.
ICPR-v3-2006-LeoputraTL #distributed #using: Non-overlapping Distributed Tracking using Particle Filter (WSL, TT, FLL), pp. 181–185.
ICPR-v3-2006-NishiguchiIS: Laplacian Based Non-Linear Diffusion Filtering (HN, AI, TS), pp. 838–841.
ICPR-v3-2006-Ortegon-AguilarB: Omnidirectional Vision Tracking with Particle Filter (JOA, EBC), pp. 1115–1118.
ICPR-v3-2006-PeiLX #detection #information retrieval: A Method For IR Point Target Detection Based on Spatial-temporal Bilateral Filter (JP, ZL, WX), pp. 846–849.
ICPR-v3-2006-ShanZSCG #image: A Riemannian Weighted Filter for Edge-sensitive Image Smoothing (SS, WZ, YS, XC, WG), pp. 590–593.
ICPR-v3-2006-TangkuampienS #analysis #component #kernel: Human Motion De-noising via Greedy Kernel Principal Component Analysis Filtering (TT, DS), pp. 457–460.
ICPR-v3-2006-ZhangH #image: A Riemannian Weighted Filter for Edge-sensitive Image Smoothing (FZ, ERH), pp. 594–598.
ICPR-v4-2006-HafezJ #estimation #using #visual notation: Target Model Estimation using Particle Filters for Visual Servoing (AHAH, CVJ), pp. 651–654.
ICPR-v4-2006-HeYTWX #image #matrix #novel #retrieval #symmetry #using: Texture Image Retrieval Using Novel Non-separable Filter Banks Based on Centrally Symmetric Matrices (ZH, XY, YYT, PSPW, YX), pp. 161–164.
ICPR-v4-2006-KimPL #3d #using: Tracking 3D Human Body using Particle Filter in Moving Monocular Camera (SK, CBP, SWL), pp. 805–808.
ICPR-v4-2006-LeiDW #adaptation #embedded: AdaBoost Tracker Embedded in Adaptive Particle Filtering (YL, XD, SW), pp. 939–943.
ICPR-v4-2006-MacenkoCM #detection #segmentation #using: Lesion Detection Using Morphological Watershed Segmentation and Modelbased Inverse Filtering (MM, MC, LM), pp. 679–682.
ICPR-v4-2006-XieLYD #identification #robust: Improved Two-stage Wiener Filter for Robust Speaker Identification (YX, ML, ZY, BD), pp. 310–313.
ICPR-v4-2006-YaoLYZL06a #algorithm #recognition #using: Iris Recognition Algorithm Using Modified Log-Gabor Filters (PY, JL, XY, ZZ, BL), pp. 461–464.
SEKE-2006-GokhaleY #analysis #architecture #pipes and filters #reliability: Reliability Analysis of Pipe and Filter Architecture Style (SSG, SMY), pp. 625–630.
SIGIR-2006-LynamCC #online: On-line spam filter fusion (TRL, GVC, DRC), pp. 123–130.
SIGIR-2006-WangVR #collaboration #similarity: Unifying user-based and item-based collaborative filtering approaches by similarity fusion (JW, APdV, MJTR), pp. 501–508.
SAC-2006-AimeurBFO #privacy: Privacy-preserving demographic filtering (EA, GB, JMF, FSMO), pp. 872–878.
SAC-2006-BelsisFGS #classification: SF-HME system: a hierarchical mixtures-of-experts classification system for spam filtering (PB, KF, SG, CS), pp. 354–360.
SAC-2006-ForteSP #classification #internet: A content classification and filtering server for the internet (MF, WLdS, AFdP), pp. 1166–1171.
SAC-2006-GuoW #data mining #mining #on the #privacy: On the use of spectral filtering for privacy preserving data mining (SG, XW), pp. 622–626.
SAC-2006-HijikataIN #music: Content-based music filtering system with editable user profile (YH, KI, SN), pp. 1050–1057.
SAC-2006-KassabL #approach #information management: An innovative approach to intelligent information filtering (RK, JCL), pp. 1089–1093.
SAC-2006-SilvaLR #documentation: Binarizing and filtering historical documents with back-to-front interference (JMMdS, RDL, VCdR), pp. 853–858.
SAC-2006-WangPLR #collaboration #distributed #peer-to-peer: Distributed collaborative filtering for peer-to-peer file sharing systems (JW, JAP, RLL, MJTR), pp. 1026–1030.
SAC-2006-WengMG #collaboration #metric #trust: Improving collaborative filtering with trust-based metrics (JW, CM, AG), pp. 1860–1864.
OSDI-2006-ReisDWDE #html #named: BrowserShield: Vulnerability-Driven Filtering of Dynamic HTML (CR, JD, HJW, OD, SE), pp. 61–74.
DAC-2005-RenG #framework #optimisation #synthesis: A unified optimization framework for equalization filter synthesis (JR, MRG), pp. 638–643.
ICDAR-2005-OjimaKW #algorithm #search-based #using: Determining Optimal Filters for Binarization of Degraded Grayscale Characters Using Genetic Algorithms (YO, SK, TW), pp. 555–559.
ICDAR-2005-PanSB #identification #using: Script Identification Using Steerable Gabor Filters (WP, CYS, TDB), pp. 883–887.
SIGMOD-2005-FischerKD #adaptation #agile #named: AGILE: Adaptive Indexing for Context-Aware Information Filters (JPD, PMF, DK), pp. 215–226.
VLDB-2005-AbadiML #detection #named #network #performance #robust: REED: Robust, Efficient Filtering and Event Detection in Sensor Networks (DJA, SM, WL), pp. 769–780.
VLDB-2005-ChengKPKT #adaptation #query: Adaptive Stream Filters for Entity-based Queries with Non-Value Tolerance (RC, BK, SP, AK, YCT), pp. 37–48.
VLDB-2005-KwonRML #documentation #named #scalability #xml: FiST: Scalable XML Document Filtering by Sequencing Twig Patterns (JK, PR, BM, SL), pp. 217–228.
ESOP-2005-LeuschelV #deduction #slicing: Forward Slicing by Conjunctive Partial Deduction and Argument Filtering (ML, GV), pp. 61–76.
MSR-2005-OhiraOOM #collaboration #network #social #using: Accelerating cross-project knowledge collaboration using collaborative filtering and social networks (MO, NO, TO, KiM), pp. 71–75.
SOFTVIS-2005-DeLineKCR #comprehension #source code #towards: Towards understanding programs through wear-based filtering (RD, AK, MC, GGR), pp. 183–192.
CIKM-2005-DingL #collaboration: Time weight collaborative filtering (YD, XL), pp. 485–492.
CIKM-2005-WengMGL #collaboration #trust: Trust-based collaborative filtering (JW, CM, AG, DL), pp. 299–300.
ECIR-2005-ChaarFF #multi #summary: Filtering for Profile-Biased Multi-document Summarization (SLC, OF, CF), pp. 127–141.
KDD-2005-KawamaeT #collaboration #information retrieval #semantics: Information retrieval based on collaborative filtering with latent interest semantic map (NK, KT), pp. 618–623.
SEKE-2005-ChanCT #adaptation #random testing #reduction #testing: Adaptive Random Testing with Filtering: An Overhead Reduction Technique (KPC, TYC, DT), pp. 292–299.
SEKE-2005-TsunodaKOMM #collaboration #java #named #recommendation: Javawock: A Java Class Recommender System Based on Collaborative Filtering (MT, TK, NO, AM, KiM), pp. 491–497.
SIGIR-2005-PuolamakiSSSK #collaboration #eye tracking #information retrieval: Combining eye movements and collaborative filtering for proactive information retrieval (KP, JS, ES, JS, SK), pp. 146–153.
SIGIR-2005-WangRLP #collaboration #distributed #self: Self-organizing distributed collaborative filtering (JW, MJTR, RLL, JAP), pp. 659–660.
SIGIR-2005-XueLYXZYC #clustering #collaboration #scalability #using: Scalable collaborative filtering using cluster-based smoothing (GRX, CL, QY, WX, HJZ, YY, ZC), pp. 114–121.
SIGIR-2005-YangYZK #adaptation #benchmark #evaluation #robust: Robustness of adaptive filtering methods in a cross-benchmark evaluation (YY, SY, JZ, BK), pp. 98–105.
SAC-2005-AlbayrakWVLM #information management #personalisation: Agent technology for personalized information filtering: the PIA-system (SA, SW, NV, AL, DM), pp. 54–59.
SAC-2005-CosterS #collaboration #incremental #mobile: Incremental collaborative filtering for mobile devices (RC, MS), pp. 1102–1106.
SAC-2005-ElkhalifaAC #detection #named #specification: InfoFilter: a system for expressive pattern specification and detection over text streams (LE, RA, SC), pp. 1084–1088.
SAC-2005-Kirsch-PinheiroVGM #adaptation #collaboration #web: Context-aware filtering for collaborative web systems: adapting the awareness information to the user’s context (MKP, MVO, JG, HM), pp. 1668–1673.
SAC-2005-PolatD #collaboration #privacy: SVD-based collaborative filtering with privacy (HP, WD), pp. 791–795.
ICSE-2005-LeonMP #data flow #empirical #evaluation #testing: An empirical evaluation of test case filtering techniques based on exercising complex information flows (DL, WM, AP), pp. 412–421.
ATEM-2004-JinC05 #integration #ontology #reverse engineering #tool support: Factbase Filtering Issues in an Ontology-Based Reverse Engineering Tool Integration System (DJ, JRC), pp. 65–75.
CAV-2005-Monniaux #analysis #composition #float #linear: Compositional Analysis of Floating-Point Linear Numerical Filters (DM), pp. 199–212.
TLCA-2005-Bertot #induction: Filters on CoInductive Streams, an Application to Eratosthenes’ Sieve (YB), pp. 102–115.
DATE-v1-2004-BhuniaRR #analysis #using: Trim Bit Setting of Analog Filters Using Wavelet-Based Supply Current Analysis (SB, AR, KR), pp. 704–705.
DATE-v1-2004-CorsiMMBD #pseudo #sequence: Pseudo-Random Sequence Based Tuning System for Continuous-Time Filters (FC, CM, GM, AB, SD), pp. 94–101.
DATE-v1-2004-ReNR #automation #generative: A Tool for Automatic Generation of RTL-Level VHDL Description of RNS FIR Filters (ADR, AN, MR), pp. 686–687.
DATE-v2-2004-KadayifK #energy #network: Tuning In-Sensor Data Filtering to Reduce Energy Consumption in Wireless Sensor Networks (IK, MTK), pp. 852–857.
DRR-2004-ShinJKKK #adaptation #image #polynomial #using: Block-adaptive binarization of business card images in PDA using modified quadratic filter (KTS, IHJ, NCK, CHK, TSK), pp. 92–101.
SIGMOD-2004-BabuMMNW #adaptation #pipes and filters: Adaptive Ordering of Pipelined Stream Filters (SB, RM, KM, IN, JW), pp. 407–418.
SIGMOD-2004-JainCW #adaptation #resource management #using: Adaptive Stream Resource Management Using Kalman Filters (AJ, EYC, YFW), pp. 11–22.
ESOP-2004-CarlssonB #algorithm #automaton #constraints #finite: From Constraints to Finite Automata to Filtering Algorithms (MC, NB), pp. 94–108.
ESOP-2004-Feret #static analysis: Static Analysis of Digital Filters (JF), pp. 33–48.
FASE-2004-LedruBMB #combinator #testing: Filtering TOBIAS Combinatorial Test Suites (YL, LdB, OM, PB), pp. 281–294.
STOC-2004-KleinbergS #collaboration #modelling #using: Using mixture models for collaborative filtering (JMK, MS), pp. 569–578.
ICEIS-v2-2004-VelosoJA #collaboration #modelling: Model-Based Collaborative Filtering for Team Building Support (MV, AJ, PJA), pp. 241–248.
CIKM-2004-FradkinK #adaptation #analysis #approach #design #information retrieval: A design space approach to analysis of information retrieval adaptive filtering systems (DF, PBK), pp. 251–260.
CIKM-2004-LuoLLL #data access #fine-grained #named #query #runtime #xml: QFilter: fine-grained run-time XML access control via NFA-based query rewriting (BL, DL, WCL, PL), pp. 543–552.
CIKM-2004-SiJ #collaboration #exponential: Unified filtering by combining collaborative filtering and content-based filtering via mixture model and exponential model (LS, RJ), pp. 156–157.
ICML-2004-BasilicoH #collaboration: Unifying collaborative and content-based filtering (JB, TH).
ICML-2004-MarlinZ #collaboration #multi: The multiple multiplicative factor model for collaborative filtering (BMM, RSZ).
ICPR-v1-2004-Ben-ArtziHH #kernel: Filtering with Gray-Code Kernels (GBA, HHO, YHO), pp. 556–559.
ICPR-v1-2004-FortunaC #invariant #recognition: ICA Filters For Lighting Invariant Face Recognition (JF, DWC), pp. 334–337.
ICPR-v1-2004-NakamuraHFS #image #parallel #using: Fingerprint Image Enhancement using a Parallel Ridge Filter (TN, MH, HF, KS), pp. 536–539.
ICPR-v1-2004-Rivero-MorenoB #feature model: Texture Feature Extraction and Indexing by Hermite Filters (CJRM, SB), pp. 684–687.
ICPR-v1-2004-Vliet #normalisation #robust: Robust Local Max-Min Filters by Normalized Power-Weighted Filtering (LJvV), pp. 696–699.
ICPR-v2-2004-BandoSDI #performance #realtime #visual notation: Switching Particle Filters for Efficient Real-time Visual Tracking (TB, TS, KD, SI), pp. 720–723.
ICPR-v2-2004-HouZ #3d #algorithm #estimation: Filter Algorithm for 3D Pose Estimation of Maneuvering Target (FH, FZ), pp. 140–144.
ICPR-v2-2004-SuW #normalisation #using: Decomposing Chinese Characters into Stroke Segments Using SOGD Filters and Orientation Normalization (YMS, JFW), pp. 351–354.
ICPR-v3-2004-BruijneN #image #segmentation: Image Segmentation by Shape Particle Filtering (MdB, MN), pp. 722–725.
ICPR-v3-2004-DargentLGB: Sector-based Diffusion Filtering (RD, OL, SG, PB), pp. 679–682.
ICPR-v3-2004-DeguchiKO #algorithm: Object Tracking by the Mean-Shift of Regional Color Distribution Combined with the Particle-Filter Algorithm (KD, OK, TO), pp. 506–509.
ICPR-v3-2004-ForestSCP #3d #approach #detection: Laser Stripe Peak Detector for 3D Scanners. A FIR Filter Approach (JF, JS, EC, CP), pp. 646–649.
ICPR-v3-2004-IrnigerB #database #graph #using: Graph Database Filtering Using Decision Trees (CI, HB), pp. 383–388.
ICPR-v3-2004-SatohOD: A Color-based Tracking by Kalman Particle Filter (YS, TO, KD), pp. 502–505.
ICPR-v3-2004-SavvidesKK04a #recognition: Cancelable Biometric Filters for Face Recognition (MS, BVKVK, PKK), pp. 922–925.
ICPR-v4-2004-GenovesioO #multi: Split and Merge Data Association Filter for Dense Multi-target Tracking (AG, JCOM), pp. 677–680.
ICPR-v4-2004-OrtizMG #image: Gaussian Noise Elimination in Colour Images by Vector-Connected Filters (FO, FTM, PG), pp. 807–810.
ICPR-v4-2004-OtsukaM #analysis #multi: A Particle Filter for Tracking Densely Populated Objects Based on Explicit Multiview Occlusion Analysis (KO, NM), pp. 745–750.
ICPR-v4-2004-ZaveriMD #image #information retrieval #modelling #multi #sequence #using: Tracking of Point Targets in IR Image Sequence using Multiple Model Based Particle Filtering and MRF Based Data Association (MAZ, SNM, UBD), pp. 729–732.
KDD-2004-AiroldiF #network: Recovering latent time-series from their observed sums: network tomography with particle filters (EA, CF), pp. 30–39.
KDD-2004-AliS #architecture #collaboration #distributed #named #recommendation #using: TiVo: making show recommendations using a distributed collaborative filtering architecture (KA, WvS), pp. 394–401.
SEKE-2004-KhoshgoftaarJ #case study #classification #quality: Noise Elimination with Ensemble-Classifier Filtering: A Case-Study in Software Quality Engineerin (TMK, VHJ), pp. 226–231.
SIGIR-2004-BasilicoH #collaboration #framework: A joint framework for collaborative and content filtering (JB, TH), pp. 550–551.
SIGIR-2004-BeitzelJCGF04a #evaluation: Evaluation of filtering current news search results (SMB, ECJ, AC, DAG, OF), pp. 494–495.
SIGIR-2004-ChristelMH #image #retrieval #video: Evaluating content-based filters for image and video retrieval (MGC, NM, CH), pp. 590–591.
SIGIR-2004-JinCS #automation #collaboration: An automatic weighting scheme for collaborative filtering (RJ, JYC, LS), pp. 337–344.
SIGIR-2004-JinS #case study #collaboration #normalisation: A study of methods for normalizing user ratings in collaborative filtering (RJ, LS), pp. 568–569.
SIGIR-2004-KokiopoulouS #information retrieval #polynomial #semantics: Polynomial filtering in latent semantic indexing for information retrieval (EK, YS), pp. 104–111.
SIGIR-2004-McLaughlinH #algorithm #collaboration #evaluation #experience #metric #user interface: A collaborative filtering algorithm and evaluation metric that accurately model the user experience (MRM, JLH), pp. 329–336.
SIGIR-2004-SomloH #web: Filtering for personal web information agents (GS, AEH), pp. 588–589.
SIGIR-2004-TryfonopoulosKD #algorithm #information retrieval #modelling #proximity: Filtering algorithms for information retrieval models with named attributes and proximity operators (CT, MK, YD), pp. 313–320.
SIGIR-2004-YuTY #framework #information management #parametricity: A nonparametric hierarchical bayesian framework for information filtering (KY, VT, SY), pp. 353–360.
SIGIR-2004-Zhang #adaptation #classification #using: Using bayesian priors to combine classifiers for adaptive filtering (YZ0), pp. 345–352.
SAC-2004-AgiusA #metadata #modelling #video: Modelling and filtering of MPEG-7-compliant meta-data for digital video (HWA, MCA), pp. 1248–1252.
SAC-2004-BerfieldBC #mobile #streaming: Profile and context filtering of streaming data for a mobile personal assistant (AB, JB, PKC), pp. 1615–1616.
SAC-2004-Calderon-BenavidesGAGD #algorithm #collaboration #comparison #multi #predict: A comparison of several predictive algorithms for collaborative filtering on multi-valued ratings (MLCB, CNGC, JdJPA, JCGD, JD), pp. 1033–1039.
OSDI-2004-BosBCNP #named #performance: FFPF: Fairly Fast Packet Filters (HB, WdB, MLC, TN, GP), pp. 347–363.
DAC-2003-CarlettaVKF #fixpoint: Determining appropriate precisions for signals in fixed-point IIR filters (JC, RJV, FWK, ZF), pp. 656–661.
DAC-2003-RenG #performance: Synthesizing optimal filters for crosstalk-cancellation for high-speed buses (JR, MRG), pp. 592–597.
DATE-2003-ChooMR #architecture #named #power management #synthesis: MRPF: An Architectural Transformation for Synthesis of High-Performance and Low-Power Digital Filters (HC, KM, KR), pp. 10700–10705.
ICDAR-2003-AllierE #prototype #using: Font Type Extraction and Character Prototyping Using Gabor Filters (BA, HE), pp. 799–803.
ICDAR-2003-Cheriet #image: Shock Filters for Character Image Enhancement and Peeling (MC), pp. 1247–1251.
ICDAR-2003-MaD #classification #documentation #image #multi: Gabor Filter Based Multi-class Classifier for Scanned Document Images (HM, DSD), pp. 968–972.
ICDAR-2003-SouzaCNS #assessment #automation #image #quality #using: Automatic Filter Selection Using Image Quality Assessment (AS, MC, SN, CYS), p. 508–?.
SIGMOD-2003-CohenM: Spectral Bloom Filters (SC, YM), pp. 241–252.
SIGMOD-2003-OlstonJW #adaptation #data type #distributed #query: Adaptive Filters for Continuous Queries over Distributed Data Streams (CO, JJ, JW), pp. 563–574.
VLDB-2003-ShahDR #approach #performance #streaming: An Efficient and Resilient Approach to Filtering and Disseminating Streaming Data (SS, SD, KR), pp. 57–68.
ICEIS-v4-2003-UchyigitC #architecture #collaboration #multi: A Multi-Agent Architecture for Dynamic Collaborative Filtering (GU, KLC), pp. 363–368.
CIKM-2003-JinSZC #collaboration #modelling: Collaborative filtering with decoupled models for preferences and ratings (RJ, LS, CZ, JPC), pp. 309–316.
CIKM-2003-YangK #adaptation: Margin-based local regression for adaptive filtering (YY, BK), pp. 191–198.
ECIR-2003-MacFarlaneRM #parallel: Parallel Computing for Term Selection in Routing/Filtering (AM, SER, JAM), pp. 537–545.
ICML-2003-Harrington #algorithm #collaboration #online #ranking #using: Online Ranking/Collaborative Filtering Using the Perceptron Algorithm (EFH), pp. 250–257.
ICML-2003-SiJ #collaboration #flexibility: Flexible Mixture Model for Collaborative Filtering (LS, RJ), pp. 704–711.
ICML-2003-YuL #feature model #performance: Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution (LY, HL), pp. 856–863.
ICML-2003-ZhangXC #adaptation #learning: Exploration and Exploitation in Adaptive Filtering Based on Bayesian Active Learning (YZ, WX, JPC), pp. 896–903.
KDD-2003-Kamishima #collaboration #order #recommendation: Nantonac collaborative filtering: recommendation based on order responses (TK), pp. 583–588.
KDD-2003-WuGLYC #multimodal: The anatomy of a multimodal information filter (YLW, KG, BL, HY, EYC), pp. 462–471.
MLDM-2003-DehmeshkiKC #rule-based #set: A Rule-Based Scheme for Filtering Examples from Majority Class in an Imbalanced Training Set (JD, MK, MVC), pp. 215–223.
SIGIR-2003-EvansBH #optimisation #performance #robust: Optimizing term vectors for efficient and robust filtering (DAE, JB, DAH), pp. 451–452.
SIGIR-2003-Hofmann #analysis #collaboration #probability #semantics: Collaborative filtering via gaussian probabilistic latent semantic analysis (TH), pp. 259–266.
SIGIR-2003-SoboroffR: Building a filtering test collection for TREC 2002 (IS, SER), pp. 243–250.
SAC-2003-Gee #semantics #using: Using Latent Semantic Indexing to Filter Spam (KRG), pp. 460–464.
DATE-2002-HassibiH #automation #design: Automated Optimal Design of Switched-Capacitor Filters (AH, MdMH), p. 1111.
SCAM-2002-BunusF #combinator #declarative #equation #graph transformation #semantics: Semantics Guided Filtering of Combinatorial Graph Transformations in Declarative Equation-Based Languages (PB, PF), pp. 163–172.
CIKM-2002-SungZP #database #performance #scalability: A fast filtering scheme for large database cleansing (SYS, ZL, SP), pp. 76–83.
CIKM-2002-YuXSTK #collaboration #consistency #in memory #nondeterminism: Removing redundancy and inconsistency in memory-based collaborative filtering (KY, XX, AS, VT, HPK), pp. 52–59.
ECIR-2002-FinnKS #classification #information management: Genre Classification and Domain Transfer for Information Filtering (AF, NK, BS), pp. 353–362.
ICPR-v1-2002-KamarainenKK #recognition: Fundamental Frequency Gabor Filters for Object Recognition (JKK, VK, HK), pp. 628–631.
ICPR-v1-2002-WuYS #identification: Optimal Gabor Filters for High Speed Face Identification (HW, YY, TS), pp. 107–110.
ICPR-v2-2002-FarmerHJ #multi #robust: Interacting Multiple Model (IMM) Kalman Filters for Robust High Speed Human Motion Tracking (MEF, RLH, AKJ), pp. 20–23.
ICPR-v2-2002-Lu #robust #using: Block DCT-Based Robust Watermarking Using Side Information Extracted by Mean Filtering (CSL), pp. 1001–1004.
ICPR-v2-2002-MassadBM #image: Perceptual Grouping in Grey-Level Images by Combination of Gabor Filtering and Tensor Voting (AM, MB, BM), pp. 677–680.
ICPR-v2-2002-MaWT #recognition #symmetry #using: Iris Recognition Using Circular Symmetric Filters (LM, YW, TT), pp. 414–417.
ICPR-v2-2002-SatohTWKNY #detection #robust: Robust Event Detection by Radial Reach Filter (RRF) (YS, HT, CW, SK, YN, KY), pp. 623–627.
ICPR-v2-2002-ZhangTM #invariant #segmentation: Invariant Texture Segmentation Via Circular Gabor Filters (JZ, TT, LM), pp. 901–904.
ICPR-v3-2002-PawlakR #image: Non-Linear Local Harmonic Filters For Edge-Preserving Image Denoising (MP, ER), pp. 895–897.
ICPR-v3-2002-SmolkaSPV #on the #performance: On the Fast Modification of the Vector Median Filter (BS, MS, KNP, ANV), pp. 931–934.
ICPR-v3-2002-SuriLSL #3d #automation: Automatic Local Effect of Window/Level on 3-D Scale-Space Ellipsoidal Filtering on Run-Off-Arteries from White Blood Magnetic Resonanc Angiography (JSS, KL, SS, SL), pp. 899–902.
ICPR-v4-2002-HadidPM #detection #using: Color-Based Face Detection Using Skin Locus Model and Hierarchical Filtering (AH, MP, BM), pp. 196–200.
ICPR-v4-2002-Ichimura #estimation #image #monte carlo #probability #sequence #using: Stochastic Filtering for Motion Trajectory in Image Sequences Using a Monte Carlo Filter with Estimation of Hyper-Parameters (NI), pp. 68–73.
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-ZhuJFL #eye tracking #information retrieval #realtime: Combining Kalman Filtering and Mean Shift for Real Time Eye Tracking under Active IR Illumination (ZZ, QJ, KF, KL), p. 318–?.
KDD-2002-RidgewayM #analysis #dataset: Bayesian analysis of massive datasets via particle filters (GR, DM), pp. 5–13.
SIGIR-2002-Canny #analysis #collaboration #privacy: Collaborative filtering with privacy via factor analysis (JFC), pp. 238–245.
SIGIR-2002-ChaiCN #classification #online: Bayesian online classifiers for text classification and filtering (KMAC, HLC, HTN), pp. 97–104.
SIGIR-2002-CosterS #algorithm #collaboration: Inverted file search algorithms for collaborative filtering (RC, MS), pp. 246–252.
SIGIR-2002-ZhangCM #adaptation #detection: Novelty and redundancy detection in adaptive filtering (YZ, JPC, TPM), pp. 81–88.
PADL-2002-GuptaGKPIRMDENZ #logic programming #question #semantics: Semantics-Based Filtering: Logic Programming’s Killer App? (GG, HFG, AIK, EP, JRI, DR, BM, ND, OEK, MN, XZ), pp. 82–100.
SAC-2002-BoughanemT #adaptation #incremental #learning: Incremental adaptive filtering: profile learning and threshold calibration (MB, MT), pp. 640–644.
CC-2002-BrandSVV #ambiguity #glr #parsing: Disambiguation Filters for Scannerless Generalized LR Parsers (MvdB, JS, JJV, EV), pp. 143–158.
HPDC-2002-Plale #data type #memory management #runtime: Leveraging Run Time Knowledge about Event Rates to Improve Memory Utilization in Wide Area Data Stream Filtering (BP), pp. 171–178.
DAC-2001-ParkK #representation #synthesis: Digital Filter Synthesis Based on Minimal Signed Digit Representation (ICP, HJK), pp. 468–473.
DATE-2001-NeauMR #complexity #using: Low complexity FIR filters using factorization of perturbed coefficients (CN, KM, KR), pp. 268–272.
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-Takasu #approximate #documentation #performance #string: Document Filtering for Fast Approximate String Matching of Errorneous Text (AT), pp. 916–920.
VLDB-2001-NishioSTTL #functional #information management: Functional Properties of Information Filtering (RS, MT, YHL, TT, SN), pp. 511–520.
VLDB-2001-PereiraFJLS #named #xml: WebFilter: A High-throughput XML-based Publish and Subscribe System (JLMP, FF, HAJ, FL, DS), pp. 723–724.
CIKM-2001-LeeLC #algorithm #incremental #mining #performance: Sliding-Window Filtering: An Efficient Algorithm for Incremental Mining (CHL, CRL, MSC), pp. 263–270.
CIKM-2001-QiuL: Index Filtering and View Materialization in ROLAP Environment (SGQ, TWL), pp. 334–340.
CIKM-2001-YuXEK #collaboration #performance: Selecting Relevant Instances for Efficient and Accurate Collaborative Filtering (KY, XX, ME, HPK), pp. 239–246.
ICML-2001-ChoiR #approximate #difference #fixpoint #learning #performance: A Generalized Kalman Filter for Fixed Point Approximation and Efficient Temporal Difference Learning (DC, BVR), pp. 43–50.
ICML-2001-Das #feature model #hybrid: Filters, Wrappers and a Boosting-Based Hybrid for Feature Selection (SD), pp. 74–81.
KDD-2001-MoodySV #automation #classification: Data filtering for automatic classification of rocks from reflectance spectra (JM, RBdAeS, JV), pp. 347–352.
KDD-2001-YamanishiT: Discovering outlier filtering rules from unlabeled data: combining a supervised learner with an unsupervised learner (KY, JiT), pp. 389–394.
SIGIR-2001-HoashiMIH #algorithm #collaboration #predict #query: Query Expansion Based on Predictive Algorithms for Collaborative Filtering (KH, KM, NI, KH), pp. 414–415.
SIGIR-2001-ZhangC #estimation: Maximum Likelihood Estimation for Filtering Thresholds (YZ, JPC), pp. 294–302.
SAC-2001-RajeQM #information management #named: SIFTER-II: a heterogeneous agent society for information filtering (RRR, MQ, SM), pp. 121–123.
ICSE-2001-CampaillaCCJV #performance #using: Efficient Filtering in Publish-Subscribe Systems Using Binary Decision (AC, SC, EMC, SJ, HV), pp. 443–452.
HPCA-2001-MoshovosMFC #energy #named: JETTY: Filtering Snoops for Reduced Energy Consumption in SMP Servers (AM, GM, BF, ANC), pp. 85–96.
SAT-2001-KautzRAGSS #problem #satisfiability: Balance and Filtering in Structured Satisfiable Problems (Preliminary Report) (HAK, YR, DA, CPG, BS, MES), pp. 2–18.
DAC-2000-PhelpsKRCH #case study #synthesis: A case study of synthesis for industrial-scale analog IP: redesign of the equalizer/filter frontend for an ADSL CODEC (RP, MK, RAR, LRC, JRH), pp. 1–6.
DATE-2000-GoodbyO #fault #quality: Test Quality and Fault Risk in Digital Filter Datapath BIST (LG, AO), pp. 468–475.
DATE-2000-WeilerMHH #detection #using: Detection of Defective Sensor Elements Using Sigma-Delta-Modulation and a Matched Filter (DW, OM, DH, BJH), pp. 599–603.
VLDB-2000-AltinelF #documentation #performance #xml: Efficient Filtering of XML Documents for Selective Dissemination of Information (MA, MJF), pp. 53–64.
IWPC-2000-WohlinHO #approach #comprehension #fault: Understanding the Sources of Software Defects: A Filtering Approach (CW, MH, MCO), pp. 9–17.
CSCW-2000-BoyleEG #privacy #video: The effects of filtered video on awareness and privacy (MB, CE, SG), pp. 1–10.
CSCW-2000-HerlockerKR #collaboration #recommendation: Explaining collaborative filtering recommendations (JLH, JAK, JR), pp. 241–250.
CIKM-2000-AslamPR #clustering #using: Using Star Clusters for Filtering (JAA, KP, DR), pp. 306–313.
ICPR-v1-2000-GidasRA #monte carlo: Tracking of Moving Objects in Cluttered Environments via Monte Carlo Filter (BG, CR, MPdA), pp. 1175–1178.
ICPR-v1-2000-GulsrudH #clustering #detection: Optimal Filter for Detection of Clustered Microcalcifications (TOG, JHH), pp. 1508–1511.
ICPR-v1-2000-KuboNEKKMOKNMY #analysis #image: Extraction of Pulmonary Fissures from HRCT Images Based on Surface Curvatures Analysis and Morphology Filters (MK, NN, KE, MK, MK, NM, HO, RK, HN, KM, AY), pp. 1490–1493.
ICPR-v1-2000-ShioyamaWM #cumulative #detection: Object Detection with Gabor Filters and Cumulative Histograms (TS, HW, SM), pp. 1704–1707.
ICPR-v1-2000-StringaR #algorithm #novel: A Novel Camera Calibration Algorithm Based on Kalman Filter (ES, CSR), pp. 1872–1875.
ICPR-v1-2000-TominagaO #multi #recognition: Object Recognition by Multi-Spectral Imaging with a Liquid Crystal Filter (ST, RO), pp. 1708–1711.
ICPR-v2-2000-Haindl #recursion: Recursive Square-Root Filters (MH), pp. 6014–6017.
ICPR-v3-2000-BoydM #implementation #multi #performance: Fast Implementation of Multiple Oriented Filters (JEB, JM), pp. 3458–3462.
ICPR-v3-2000-GhosalURP: Hierarchical Partitioned Least Squares Filter-Bank for Fingerprint Enhancement (SG, RU, NKR, SP), pp. 3338–3341.
ICPR-v3-2000-GreenbergAKD #image #using: Fingerprint Image Enhancement Using Filtering Techniques (SG, MA, DK, ID), pp. 3326–3329.
ICPR-v3-2000-GrigorescuPK #case study #comparative #distance #using: A Comparative Study of Filter Based Texture Operators Using Mahalanobis Distance (SEG, NP, PK), pp. 3897–3900.
ICPR-v3-2000-KaarnaP #image #multi: Wavelet Filter Selection in Multispectral Image Compression (AK, JP), pp. 3246–3249.
ICPR-v3-2000-KobatakeJHSY #adaptation #convergence: Nonlinear Adaptive Convergence Index Filters and Their Characteristics (HK, JW, YH, AS, YY), pp. 3526–3529.
ICPR-v3-2000-LimiaNF #3d #segmentation: Texture Segmentation of a 3D Seismic Section with Wavelet Transform and Gabor Filters (MFL, AMN, MTF), pp. 3358–3361.
ICPR-v3-2000-Magrin-ChagnolleauD #pattern matching #pattern recognition #recognition: Application of Vector Filtering to Pattern Recognition (IMC, GD), pp. 3437–3440.
ICPR-v3-2000-MullerH #image #invariant #on the: On the Use of SDF-Type Filters for Distortion Invariant Image Location (NM, BMH), pp. 3530–3533.
ICPR-v3-2000-Rodriguez-MiguelTMJV #3d #correlation #generative #pattern matching #pattern recognition #recognition: Target Modelization and Filter Generation for 3D Pattern Recognition by Optical Correlation (FJRM, RT, MMU, IJ, SV), pp. 7030–7033.
ICPR-v3-2000-ThiemH #design: Biology-Inspired Design of Digital Gabor Filters upon a Hexagonal Sampling Scheme (JT, GH), pp. 3449–3452.
ICPR-v3-2000-YoungVG #recursion: Recursive Gabor Filtering (ITY, LJvV, MvG), pp. 3342–3345.
ICPR-v4-2000-BodnarovaBL #detection #using: Textile Flaw Detection Using Optimal Gabor Filters (AB, MB, SJL), pp. 4799–4802.
ICPR-v4-2000-WalterA #locality: Gabor Filters for Object Localization and Robot Grasping (JAW, BA), pp. 4124–4127.
SIGIR-2000-AndroutsopoulosKCS #anti #comparison #email #keyword #naive bayes: An experimental comparison of naive bayesian and keyword-based anti-spam filtering with personal e-mail messages (IA, JK, KC, CDS), pp. 160–167.
SIGIR-2000-FisherHHNTV #algorithm #collaboration #development #evaluation #framework #named: SWAMI: a framework for collaborative filtering algorithm development and evaluation (DF, KH, JIH, MWN, MT, RV), pp. 366–368.
SIGIR-2000-HoashiMIH #documentation #using: Document filtering method using non-relevant information profile (KH, KM, NI, KH), pp. 176–183.
SIGIR-2000-KimHZ #classification #naive bayes: Text filtering by boosting naive bayes classifiers (YHK, SYH, BTZ), pp. 168–175.
SIGIR-2000-KuflikS #generative #information management #research: Generation of user profiles for information filtering — research agenda (TK, PS), pp. 313–315.
SIGIR-2000-SoboroffN #collaboration: Collaborative filtering and the generalized vector space model (IS, CKN), pp. 351–353.
SIGIR-2000-ZhaiJE #adaptation #approach #heuristic #learning: Exploration of a heuristic approach to threshold learning in adaptive filtering (CZ, PJ, DAE), pp. 360–362.
DAC-1999-HarjaniV #fault #parametricity: Digital Aetection of Analog Parametric Faults in SC Filters (RH, BV), pp. 772–777.
DATE-1999-MukherjeeJTFAF #approach #performance #verification: An Efficient Filter-Based Approach for Combinational Verification (RM, JJ, KT, MF, JAA, DSF), pp. 132–137.
ICDAR-1999-MurthyK #information management: Context Filters for Document-based Information Filtering (KRKM, SSK), pp. 709–712.
FM-v1-1999-PhilippsR #architecture #refinement: Refinement of Pipe-and-Filter Architectures (JP, BR), pp. 96–115.
HCI-CCAD-1999-Tatemura #collaboration #visualisation: Visualizing collaborative filtering results (JT), pp. 132–136.
HCI-CCAD-1999-YuCK #approximate #multi #using: Dynamic event filtering technique using multi-level path approximation in a shared virtual environment (SJY, YCC, KK), pp. 583–587.
CIKM-1999-LanquillonR #adaptation #detection #information management: Adaptive Information Filtering: Detecting Changes in Text Streams (CL, IR), pp. 538–544.
ICML-1999-GambergerLG: Experiments with Noise Filtering in a Medical Domain (DG, NL, CG), pp. 143–151.
KDD-1999-AggarwalWWY #approach #collaboration #graph: Horting Hatches an Egg: A New Graph-Theoretic Approach to Collaborative Filtering (CCA, JLW, KLW, PSY), pp. 201–212.
SIGIR-1999-GuptaDNG #algorithm #collaboration #evaluation #linear: Jester 2.0: Evaluation of an New Linear Time Collaborative Filtering Algorithm (poster abstract) (DG, MD, HN, KYG), pp. 291–292.
SIGIR-1999-HerlockerKBR #algorithm #collaboration #framework: An Algorithmic Framework for Performing Collaborative Filtering (JLH, JAK, AB, JR), pp. 230–237.
SIGIR-1999-LamY #adaptation #learning #online: An Intelligent Adaptive Filtering Agent Based on an On-Line Learning Model (poster abstract) (WL, KLY), pp. 287–288.
PPDP-1999-KusakariNT: Argument Filtering Transformation (KK, MN, YT), pp. 47–61.
HPDC-1999-FrankeM #visualisation: Reducing Data Distribution Bottlenecks by Employing Data Visualization Filters (EF, MM), pp. 255–262.
VLDB-1998-ShivakumarGC #approximate: Filtering with Approximate Predicates (NS, HGM, CC), pp. 263–274.
CSCW-1998-SarwarKBHMR #collaboration #predict #quality #research #using: Using Filtering Agents to Improve Prediction Quality in the GroupLens Research Collaborative Filtering System (BMS, JAK, AB, JLH, BNM, JR), pp. 345–354.
CSCW-1998-ZhaoS #image: Evaluating Image Filtering Based Techniques in Media Space Applications (QAZ, JTS), pp. 11–18.
CAiSE-1998-DomgesPS: A Filter-Mechanism for Method-Driven Trace Capture (RD, KP, KS), pp. 237–250.
CIKM-1998-YuL #adaptation #algorithm #learning #online: A New On-Line Learning Algorithm for Adaptive Text Filtering (KLY, WL), pp. 156–160.
ICML-1998-BillsusP #collaboration #learning: Learning Collaborative Information Filters (DB, MJP), pp. 46–54.
ICML-1998-NakamuraA #algorithm #collaboration #predict #using: Collaborative Filtering Using Weighted Majority Prediction Algorithms (AN, NA), pp. 395–403.
ICPR-1998-BulowS #classification: Quaternionic gabor filters for local structure classification (TB, GS), pp. 808–810.
ICPR-1998-DayP #learning #modelling: A projection filter for use with parameterised learning models (MJSD, JSP), pp. 867–869.
ICPR-1998-MaioM98a #network: Neural network based minutiae filtering in fingerprints (DM, DM), pp. 1654–1658.
ICPR-1998-OkumuraMKYMTIM #automation #detection #image: Automatic detection of lung cancers in chest CT images by variable N-Quoit filter (TO, TM, JiK, SY, MM, YT, TI, TM), pp. 1671–1673.
ICPR-1998-SalmanL #modelling #recognition #representation: A layered representation for model-based filtering and recognition (MS, ML), pp. 643–647.
ICPR-1998-SeemannT #image #segmentation #using: Structure preserving noise filtering of images using explicit local segmentation (TS, PET), pp. 1610–1612.
ICPR-1998-VlietYV #recursion: Recursive Gaussian derivative filters (LJvV, ITY, PWV), pp. 509–514.
ICPR-1998-WilliamsB #approach #image: A non-linear filtering approach to image matching (JAW, MB), pp. 1–3.
SIGIR-1998-Callan #learning: Learning While Filtering Focuments (JPC), pp. 224–231.
SIGIR-1998-SchapireSS: Boosting and Rocchio Applied to Text Filtering (RES, YS, AS), pp. 215–223.
FSE-1998-DwyerP #model checking: Filter-Based Model Checking of Partial Systems (MBD, CSP), pp. 189–202.
DAC-1997-GoodbyO: Frequency-Domain Compatibility in Digital Filter BIST (LG, AO), pp. 540–545.
EDTC-1997-ZarnikNM #design: Design of oscillation-based test structures for active RC filters (MSZ, FN, SM), p. 618.
ICDAR-1997-WatanabeHYT #normalisation: Normalization Techniques of Handwritten Numerals for Gabor Filters (MW, YH, TY, ST), p. 303–?.
TRI-Ada-1997-PautetW: Transparent Filtering of Streams in GLADE (LP, TW), pp. 11–19.
ACIR-1997-WondergemBHW #information management #retrieval #towards: Towards an Agent-Based Retrieval Engine (Profile Information Filtering Project) (BW, PvB, TWCH, TPvdW).
CIKM-1997-DimitrovaME #video: Video Keyframe Extraction and Filtering: A Keyframe is not a Keyframe to Everyone (ND, TM, HE), pp. 113–120.
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.
SIGIR-1997-FidelC #performance: Users’ Perception of the Performance of a Filtering System (RF, MC), pp. 198–205.
KBSE-1996-Darche #algorithm #automation #difference #generative #set: Set Differentiation: A Method for the Automatic Generation of Filtering Algorithms (FDD), p. 19.
VLDB-1996-SevcikK: Filter Trees for Managing Spatial Data over a Range of Size Granularities (KCS, NK), pp. 16–27.
CSCW-1996-HillT #social #using: Using Frequency-of-Mention in Public Conversations for Social Filtering (WCH, LGT), pp. 106–112.
CSCW-1996-MarxS #named #personalisation: CLUES: Dynamic Personalized Message Filtering (MM, CS), pp. 113–121.
CSCW-1996-MillerR #collaboration #tutorial: A Hands-On Introduction to Collaborative Filtering (Tutorial) (BNM, JR), p. 5.
ICML-1996-LiuS #approach #feature model #probability: A Probabilistic Approach to Feature Selection — A Filter Solution (HL, RS), pp. 319–327.
ICPR-1996-AppenzellerC #adaptation #performance: Experimental performance characterization of adaptive filters (GA, JLC), pp. 417–421.
ICPR-1996-CarevicC #adaptation #segmentation: Adaptive Gabor filters for texture segmentation (DC, TC), pp. 606–610.
ICPR-1996-Chetverikov #algorithm #interactive #performance: Structural filtering with texture feature-based interaction maps: fast algorithm and applications (DC), pp. 795–799.
ICPR-1996-DePieroT #adaptation #image #kernel #realtime #segmentation #using: Real-time range image segmentation using adaptive kernels and Kalman filtering (FWD, MMT), pp. 573–577.
ICPR-1996-FischlS #adaptation #approximate #image: Learned adaptive nonlinear filtering for anisotropic diffusion approximation in image processing (BF, ELS), pp. 276–280.
ICPR-1996-HansenS #estimation #using: Active depth estimation with gaze and vergence control using Gabor filters (MH, GS), pp. 287–291.
ICPR-1996-HeidemannR #3d #architecture #recognition #using: A neural 3-D object recognition architecture using optimized Gabor filters (GH, HJR), pp. 70–74.
ICPR-1996-JacksonA: Elliptical Gaussian filters (SAJ, NA), pp. 775–779.
ICPR-1996-KobatakeM #adaptation #detection: Adaptive filter to detect rounded convex regions: iris filter (HK, MM), pp. 340–344.
ICPR-1996-LamY #detection #performance: Efficient circular object detection with hypothesis filtering strategy and Hough transform (WCYL, SYY), pp. 542–546.
ICPR-1996-MichaelisSSM #adaptation #network #using: Adaptive filtering of distorted displacement vector fields using artificial neural networks (BM, OS, US, RM), pp. 335–339.
ICPR-1996-Palubinskas #adaptation #image: Adaptive filtering in magnetic resonance images (GP), pp. 523–527.
ICPR-1996-Smith #flexibility: Flexible filter neighbourhood designation (SMS), pp. 206–212.
ICPR-1996-StoschekYH #2d #detection #invariant #multi #robust #using: Rotation-invariant and robust multiple-2D-object detection using steerable pyramid denoising and optimized circular harmonic filters (AS, TPYY, RH), pp. 376–380.
ICPR-1996-YamamotoMTI0 #automation #detection: Quoit filter-a new filter based on mathematical morphology to extract the isolated shadow, and its application to automatic detection of lung cancer in X-ray CT (SY, MM, YT, TI, TM), pp. 3–7.
SIGIR-1996-Allan #feedback #incremental #information management: Incremental Relevance Feedback for Information Filtering (JA), pp. 270–278.
SIGIR-1996-BellM #design #information management #performance: The Design of a High Performance Information Filtering System (TAHB, AM), pp. 12–20.
SIGIR-1996-Callan #documentation #network: Document Filtering With Inference Networks (JPC), pp. 262–269.
SIGIR-1996-HullPS #documentation: Method Combination For Document Filtering (DAH, JOP, HS), pp. 279–287.
SIGIR-1996-LamMMP #detection #information management #personalisation: Detection of Shifts in User Interests for Personalized Information Filtering (WL, SM, JM, MJP), pp. 317–325.
LOPSTR-1996-LeuschelS96a #logic programming #source code: Redundant Argument Filtering of Logic Programs (ML, MHS), pp. 83–103.
POPL-1996-ProebstingW: Filter Fusion (TAP, SAW), pp. 119–130.
SAC-1996-Neubauer #adaptation #algorithm #search-based: Genetic algorithms for non-linear adaptive filters in digital signal processing (AN), pp. 519–522.
ICDAR-v2-1995-LeplumeyCQ #documentation #segmentation #towards: Kalman filter contributions towards document segmentation (IL, JC, CQ), pp. 765–769.
ICDAR-v2-1995-LuT #segmentation #word: Gray scale filtering for line and word segmentation (YL, ACT), pp. 648–651.
ICDAR-v2-1995-WangHR #recognition #segmentation: A shape band-pass filter for character recognition and texture segmentation (DW, VHC, JR), pp. 681–684.
ICDAR-v2-1995-YoonLK #image #using: Faxed image restoration using Kalman filtering (MYY, SWL, JSK), pp. 677–680.
PODS-1995-BrodskyLLM #constraints: Separability of Polyhedra for Optimal Filtering of Spatial and Constraint Data (AB, CL, JLL, MJM), pp. 54–65.
CHI-1995-FishkinS #query: Enhanced Dynamic Queries via Movable Filters (KPF, MCS), pp. 415–420.
CHI-1995-MaltzE #collaboration: Pointing the Way: Active Collaborative Filtering (DM, KE), pp. 202–209.
CHI-1995-ShardanandM #algorithm #automation #information management #social #word: Social Information Filtering: Algorithms for Automating “Word of Mouth” (US, PM), pp. 210–217.
CIKM-1995-ORiordanS: An Intelligent Agent for High-Precision Text Filtering (AO, HS), pp. 205–211.
ICML-1995-Lang #learning #named: NewsWeeder: Learning to Filter Netnews (KL), pp. 331–339.
CHI-1994-AhlbergS94c #query #visual notation: Visual information seeking: tight coupling of dynamic query filters with starfield displays (CA, BS), pp. 313–317.
CHI-1994-StoneFB94a #user interface: The movable filter as a user interface tool (MCS, KPF, EAB), pp. 306–312.
CSCW-1994-ResnickISBR #architecture #collaboration #named: GroupLens: An Open Architecture for Collaborative Filtering of Netnews (PR, NI, MS, PB, JR), pp. 175–186.
SIGIR-1994-MoritaS #analysis #behaviour #information management #retrieval: Information Filtering Based on User Behaviour Analysis and Best Match Text Retrieval (MM, YS), pp. 272–281.
SIGIR-1994-Persin #documentation #performance #ranking: Document Filtering for Fast Ranking (MP), pp. 339–348.
ECOOP-1994-AksitBSB #inheritance #realtime #specification: Real-Time Specification Inheritance Anomalies and Real-Time Filters (MA, JB, WvdS, LB), pp. 386–407.
SAC-1994-ChangCG #abstract interpretation #bottom-up #execution #logic programming #source code: Abstract filters: improving bottom-up execution of logic programs by two-phase abstract interpretation (BMC, KMC, RG), pp. 388–393.
DAC-1993-WangDNS #architecture #multi #scalability #synthesis #using: High-Level Synthesis of Scalable Architectures for IIR Filters using Multichip Modules (HW, NDD, AN, KYS), pp. 336–342.
ICDAR-1993-NakajimaM #classification #modelling #recognition: A model-based classifier in a scheme of recognition filter (YN, SM), pp. 68–71.
ICDAR-1993-ShabanLNR #image #implementation #performance: Fast image filtering implementation (MS, SL, LN, RB), pp. 735–738.
VLDB-1993-VhanHY #execution: Applying Hash Filters to Improving the Execution of Bushy Trees (MSC, HIH, PSY), pp. 505–516.
VLDB-1993-ZezulaCT #parallel: Hamming Filters: A Dynamic Signature File Organization for Parallel Stores (PZ, PC, PT), pp. 314–327.
HCI-SHI-1993-Thiopoulous #interactive: An Interactive Information Filter or a Trip in Hyperspace (CT), pp. 214–219.
INTERCHI-1993-Verrips: Filtered suggestions (abstract) (JV), p. 467.
SAC-1993-AcreeCUGS #adaptation #algorithm #analysis #linear #parallel: Parallelization and Analysis of a Linear Adaptive Filtering Algorithm (RKA, DTC, NU, MJG, DMS), pp. 165–172.
SAC-1993-AnconaN #reuse: Filtering Import: A Basic Mechanism for Reusability (MA, PN), pp. 103–110.
ECOOP-1992-AksitBV #approach #integration #object-oriented: An Object-Oriented Language-Database Integration Model: The Composition-Filters Approach (MA, LB, SV), pp. 372–395.
ML-1991-Kadie #induction #learning: Quantifying the Value of Constructive Induction, Knowledge, and Noise Filtering on Inductive Learning (CMK), pp. 153–157.
SIGIR-1991-FreiW #algorithm #effectiveness #network #retrieval: Retrieval Algorithm Effectiveness in a Wide Area Network Information Filter (HPF, MFW), pp. 114–122.
DAC-1989-SaldanhaWBS #logic #multi #using: Multi-level Logic Simplification Using Don’t Cares and Filters (AS, ARW, RKB, ALSV), pp. 277–282.
ML-1989-MarkovitchS #implementation: Information Filters and Their Implementation in the SYLLOG System (SM, PDS), pp. 404–407.
ML-1988-Etzioni #approach #learning #reliability: Hypothesis Filtering: A Practical Approach to Reliable Learning (OE), pp. 416–429.
ECOOP-1987-EgeM #interface #visual notation: The Filter Browser Defining Interfaces Graphically (RKE, DM), pp. 140–150.
SOSP-1987-MogulRA #network #performance: The Packet Filter: An Efficient Mechanism for User-level Network Code (JCM, RFR, MJA), pp. 39–51.
DAC-1976-Daae #approximate #interactive: Bandpass filter approximation by interactive graphics (HD), pp. 131–133.