BibSLEIGH
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detect (12)
use (9)
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Stem cascad$ (all stems)

80 papers:

CASECASE-2015-ChenN #automation
A cascade control for Sander automation system (ZC, BN), pp. 894–899.
TACASTACAS-2015-WangB #contest #named
Cascade — (Competition Contribution) (WW, CB), pp. 420–422.
ICMLICML-2015-HeRFGL #modelling #named #network #topic
HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades (XH, TR, JRF, LG, YL), pp. 871–880.
ICMLICML-2015-KvetonSWA #learning #rank
Cascading Bandits: Learning to Rank in the Cascade Model (BK, CS, ZW, AA), pp. 767–776.
ICMLICML-2015-Pouget-AbadieH #framework #graph
Inferring Graphs from Cascades: A Sparse Recovery Framework (JPA, TH), pp. 977–986.
ICSEICSE-v1-2015-VakilianPEJ #named
Cascade: A Universal Programmer-Assisted Type Qualifier Inference Tool (MV, AP, MDE, REJ), pp. 234–245.
CIKMCIKM-2014-CuiYH #independence
Non-independent Cascade Formation: Temporal and Spatial Effects (BC, SJY, CH), pp. 1923–1926.
ICPRICPR-2014-HuWSC #detection #framework #robust #using
Robust Head-Shoulder Detection Using a Two-Stage Cascade Framework (RH, RW, SS, XC), pp. 2796–2801.
ICPRICPR-2014-KacheleS #independence #recognition #set
Cascaded Fusion of Dynamic, Spatial, and Textural Feature Sets for Person-Independent Facial Emotion Recognition (MK, FS), pp. 4660–4665.
ICPRICPR-2014-YunJKHC #detection #modelling #performance #self
Self-Organizing Cascaded Structure of Deformable Part Models for Fast Object Detection (SY, HJ, WSK, BH, JYC), pp. 4246–4250.
KDDKDD-2014-WangHYL #multi #named #network
MMRate: inferring multi-aspect diffusion networks with multi-pattern cascades (SW, XH, PSY, ZL), pp. 1246–1255.
FSEFSE-2014-MazinanianTM #css #refactoring
Discovering refactoring opportunities in cascading style sheets (DM, NT, AM), pp. 496–506.
ICLPICLP-J-2014-Antic #on the #set #source code
On Cascade Products of Answer Set Programs (CA), pp. 711–723.
DACDAC-2013-GrossmanTBS #design #framework #simulation
The role of cascade, a cycle-based simulation infrastructure, in designing the anton special-purpose supercomputers (JPG, BT, JAB, DES), p. 9.
ICDARICDAR-2013-RazaSDE #detection #multi #using
Multilingual Artificial Text Detection Using a Cascade of Transforms (AR, IS, CD, AE), pp. 309–313.
CHICHI-2013-ChiltonLEWL #crowdsourcing #named #taxonomy
Cascade: crowdsourcing taxonomy creation (LBC, GL, DE, DSW, JAL), pp. 1999–2008.
ICMLICML-c3-2013-ZweigW #learning
Hierarchical Regularization Cascade for Joint Learning (AZ, DW), pp. 37–45.
KDDKDD-2013-CuiJYWZY #approach #data-driven #network #predict
Cascading outbreak prediction in networks: a data-driven approach (PC, SJ, LY, FW, WZ, SY), pp. 901–909.
KDDKDD-2013-EftekharGK
Information cascade at group scale (ME, YG, NK), pp. 401–409.
KDDKDD-2013-IwataSG #online #process #social
Discovering latent influence in online social activities via shared cascade poisson processes (TI, AS, ZG), pp. 266–274.
ESEC-FSEESEC-FSE-2013-ZervoudakisREF #model checking #verification
Cascading verification: an integrated method for domain-specific model checking (FZ, DSR, SGE, AF), pp. 400–410.
VLDBVLDB-2012-PrakashF #comprehension #graph #scalability
Understanding and Managing Cascades on Large Graphs (BAP, CF), pp. 2024–2025.
CIKMCIKM-2012-KupavskiiOUUSGK #predict #twitter
Prediction of retweet cascade size over time (AK, LO, AU, SU, PS, GG, AK), pp. 2335–2338.
ICPRICPR-2012-BougesCBL #classification #nearest neighbour #using
Using k-nearest neighbors to handle missing weak classifiers in a boosted cascade (PB, TC, CB, GL), pp. 1763–1766.
ICPRICPR-2012-BriaMMT #approach #semistructured data
A ranking-based cascade approach for unbalanced data (AB, CM, MM, FT), pp. 3439–3442.
ICPRICPR-2012-SlimaneZKAHI #recognition
New features for complex Arabic fonts in cascading recognition system (FS, OZ, SK, AMA, JH, RI), pp. 738–741.
ICPRICPR-2012-WuFH0N #network #recognition
Cascaded heterogeneous convolutional neural networks for handwritten digit recognition (CW, WF, YH, JS, SN), pp. 657–660.
CASECASE-2011-ColP #detection #performance #recursion
Fast and accurate object detection by means of recursive monomial feature elimination and cascade of SVM (LDC, FAP), pp. 304–309.
CASECASE-2011-PatilSMDS #development #requirements
Requirements for the development of a decision-support solution for sustainability target cascading (LP, LS, KM, DD, RS), pp. 456–461.
HTHT-2011-GomezKK #evolution #modelling
Modeling the structure and evolution of discussion cascades (VG, HJK, AK), pp. 181–190.
DLTDLT-2011-DrosteMST #composition #finite
A Cascade Decomposition of Weighted Finite Transition Systems (MD, IM, BS, AT), pp. 472–473.
LATALATA-2011-Gelderie #automaton #regular expression
Classifying Regular Languages via Cascade Products of Automata (MG), pp. 286–297.
CIKMCIKM-2011-HagenSR #detection #query
Query session detection as a cascade (MH, BS, TR), pp. 147–152.
KDDKDD-2011-ShiFZY #evolution #graph
Discovering shakers from evolving entities via cascading graph inference (XS, WF, JZ, PSY), pp. 1001–1009.
KDIRKDIR-2011-NguyenLT #classification #image #multi
Cascade of Multi-level Multi-instance Classifiers for Image Annotation (CTN, HVL, TT), pp. 14–23.
SIGIRSIGIR-2011-WangLM #performance #ranking #retrieval
A cascade ranking model for efficient ranked retrieval (LW, JJL, DM), pp. 105–114.
DocEngDocEng-2010-SlimaneKAHI #comparison #multi #recognition
Comparison of global and cascading recognition systems applied to multi-font arabic text (FS, SK, AMA, JH, RI), pp. 161–164.
CIKMCIKM-2010-ZhangGGZS #named #similarity
CasJoin: a cascade chain for text similarity joins (XZ, ZG, HG, HZ, ZS), pp. 1725–1728.
ICPRICPR-2010-GuoH #using
Cascaded Background Subtraction Using Block-Based and Pixel-Based Codebooks (JMG, CSH), pp. 1373–1376.
ICPRICPR-2010-MollerSHP #modelling #segmentation
Cascaded Segmentation of Grained Cell Tissue with Active Contour Models (BM, NS, SH, SP), pp. 1481–1484.
ICPRICPR-2010-SzczotFLP #adaptation #classification
Package Boosting for Readaption of Cascaded Classifiers (MS, JF, OL, GP), pp. 552–555.
ICPRICPR-2010-VerschaeR #detection #multi
Coarse-To-Fine Multiclass Nested Cascades for Object Detection (RV, JRdS), pp. 344–347.
KDDKDD-2010-RaykarKY #classification #design #performance #trade-off
Designing efficient cascaded classifiers: tradeoff between accuracy and cost (VCR, BK, SY), pp. 853–860.
PPDPPPDP-2010-Serrano #compilation #css #named
HSS: a compiler for cascading style sheets (MS), pp. 109–118.
DATEDATE-2009-MullerWJSM #approach #linear #modelling #testing
An approach to linear model-based testing for nonlinear cascaded mixed-signal systems (RM, CW, HJJ, SS, HM), pp. 1662–1667.
ICDARICDAR-2009-ZhuSMHN #classification #feature model
Separate Chinese Character and English Character by Cascade Classifier and Feature Selection (YZ, JS, AM, YH, SN), pp. 1191–1195.
CIKMCIKM-2009-LiBS #analysis #predict
Blog cascade affinity: analysis and prediction (HL, SSB, AS), pp. 1117–1126.
CHICHI-2008-TanvirCIC #adaptation #named
AAMU: adaptive activation area menus for improving selection in cascading pull-down menus (ET, JC, PI, AC), pp. 1381–1384.
ICPRICPR-2008-ChenWWM #detection #generative
GA based feature generation for training cascade object detector (QC, HW, TW, KM), pp. 1–4.
ICPRICPR-2008-HanifPN #detection #image
A cascade detector for text detection in natural scene images (SMH, LP, PN), pp. 1–4.
ICPRICPR-2008-VisentiniSF #detection #online
On-line boosted cascade for object detection (IV, LS, GLF), pp. 1–4.
ICPRICPR-2008-YangB08a #feature model #recognition #sketching
Feature extraction method based on cascade noise elimination for sketch recognition (JY, HB), pp. 1–4.
CASECASE-2007-GrauWS #tool support
Improving dispatch rules for cascading tools (GG, JW, KS), pp. 261–264.
DRRDRR-2006-ChellapillaSS #classification
Optimally combining a cascade of classifiers (KC, MS, PYS).
ICPRICPR-v1-2006-PongC #3d #detection #modelling #using
Optimal Cascade Construction for Detection using 3D Models (HKP, TJC), pp. 808–811.
ICPRICPR-v2-2006-NiuSYCG #2d #locality
2D Cascaded AdaBoost for Eye Localization (ZN, SS, SY, XC, WG), pp. 1216–1219.
KDDKDD-2006-BiPOKFSR #classification #detection #symmetry
Computer aided detection via asymmetric cascade of sparse hyperplane classifiers (JB, SP, KO, TK, GF, MS, RBR), pp. 837–844.
CAVCAV-2006-SethiB #c #deduction #named
cascade: C Assertion Checker and Deductive Engine (NS, CB), pp. 166–169.
ICDARICDAR-2005-DuongE #classification #design #recognition
Cascade Classifier : Design and Application to Digit Recognition (JD, HE), pp. 1065–1069.
ICDARICDAR-2005-OliveiraBS05a #classification #optimisation
Improving Cascading Classifiers with Particle Swarm Optimization (LSO, AdSBJ, RS), pp. 570–574.
CHICHI-2005-Ahlstrom #modelling #using
Modeling and improving selection in cascading pull-down menus using Fitts’ law, the steering law and force fields (DA), pp. 61–70.
ICMLICML-2005-WuMR #classification #detection #linear #symmetry
Linear Asymmetric Classifier for cascade detectors (JW, MDM, JMR), pp. 988–995.
ICMLICML-2004-BohteBG #classification #parametricity #polynomial
Nonparametric classification with polynomial MPMC cascades (SMB, MB, GZG).
ICPRICPR-v1-2004-SochmanM
Inter-Stage Feature Propagation in Cascade Building with AdaBoost (JS, JM), pp. 236–239.
ICPRICPR-v2-2004-HuangAWL #detection #multi
Boosting Nested Cascade Detector for Multi-View Face Detection (CH, HA, BW, SL), pp. 415–418.
ICPRICPR-v4-2004-LimJ #classification #image
Cascading Classifiers for Consumer Image Indexing (JHL, JSJ), pp. 897–900.
SACSAC-2004-BistarelliFO #constraints #detection #modelling #problem #using
Modeling and detecting the cascade vulnerability problem using soft constraints (SB, SNF, BO), pp. 383–390.
SACSAC-2004-SignoriniG #design #object-oriented #process #specification
Object-oriented design for the specification of the blood clotting cascade: a class-structured view of bio-computing processes (JS, PG), pp. 207–208.
ICMLICML-2003-RivestP #network
Combining TD-learning with Cascade-correlation Networks (FR, DP), pp. 632–639.
STOCSTOC-2001-ChazelleL #bound
Lower bounds for intersection searching and fractional cascading in higher dimension (BC, DL), pp. 322–329.
CIAACIAA-2001-BergeronH #algorithm
Cascade Decompositions are Bit-Vector Algorithms (AB, SH), pp. 13–26.
CIAACIAA-2001-FriburgerM #finite #transducer
Finite-State Transducer Cascade to Extract Proper Names in Texts (NF, DM), pp. 115–124.
ICMLICML-2000-KaynakA #classification #multi
MultiStage Cascading of Multiple Classifiers: One Man’s Noise is Another Man’s Data (CK, EA), pp. 455–462.
ICMLICML-2000-ShultzR #comparison #knowledge-based #learning #multi #using
Using Knowledge to Speed Learning: A Comparison of Knowledge-based Cascade-correlation and Multi-task Learning (TRS, FR), pp. 871–878.
ICDARICDAR-1999-Kawatani #classification #recognition #using
Handwritten Kanji Recognition using Combined Complementary Classifiers in a Cascade Arrangement (TK), pp. 503–506.
CHICHI-1999-ZhaiMI
Manual and Gaze Input Cascaded (MAGIC) Pointing (SZ, CM, SI), pp. 246–253.
ICMLICML-1998-Gama
Local Cascade Generalization (JG), pp. 206–214.
STOCSTOC-1986-ColeV #algorithm #design #metaprogramming #parallel
Deterministic coin tossing and accelerating cascades: micro and macro techniques for designing parallel algorithms (RC, UV), pp. 206–219.
ICALPICALP-1985-ChazelleG #geometry
Fractional Cascading: A Data Structuring Technique with Geometric Applications (BC, LJG), pp. 90–100.
VLDBVLDB-1984-KjellbergZ
Cascade Hashing (PK, TUZ), pp. 481–492.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.