BibSLEIGH
BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
CC-BY
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Used together with:
word (22)
classif (16)
use (15)
featur (13)
recognit (11)

Stem bag$ (all stems)

90 papers:

MLDMMLDM-2015-Babu #classification #identification #using
Offline Writer Identification in Tamil Using Bagged Classification Trees (SB), pp. 342–354.
SIGIRSIGIR-2015-SallesGRR #automation #classification #effectiveness #fault #named #random
BROOF: Exploiting Out-of-Bag Errors, Boosting and Random Forests for Effective Automated Classification (TS, MAG, VR, LCdR), pp. 353–362.
SACSAC-2015-PedrosaTB
Shape description based on bag of salience points (GVP, AJMT, CAZB), pp. 74–79.
DRRDRR-2014-KleberDS #classification #retrieval #using #word
Form classification and retrieval using bag of words with shape features of line structures (FK, MD, RS), pp. 902107–9.
CIKMCIKM-2014-BottcherLZ #equivalence #query
Pulling Conjunctive Query Equivalence out of the Bag (SB, SL, LZ), pp. 41–50.
ICMLICML-c1-2014-YogatamaS #multi #word
Making the Most of Bag of Words: Sentence Regularization with Alternating Direction Method of Multipliers (DY, NAS), pp. 656–664.
ICPRICPR-2014-GaoRKL #documentation
Embedding Document Structure to Bag-of-Words through Pair-wise Stable Key-Regions (HG, MR, DK, JL), pp. 2903–2908.
ICPRICPR-2014-HazelhoffCW #classification #trade-off #word
Optimal Performance-Efficiency Trade-off for Bag of Words Classification of Road Signs (LBH, IMC, PHNdW), pp. 2996–3001.
ICPRICPR-2014-KapsourasN #approach #recognition #using
Action Recognition in Motion Capture Data Using a Bag of Postures Approach (IK, NN), pp. 2649–2654.
ICPRICPR-2014-KhanWBF #recognition
Scale Coding Bag-of-Words for Action Recognition (FSK, JvdW, ADB, MF), pp. 1514–1519.
ICPRICPR-2014-OnoKKF #2d #automation #recognition #robust
A Two-Dimensional Barcode with Robust Decoding against Distortion and Occlusion for Automatic Recognition of Garbage Bags (SO, YK, HK, SF), pp. 2879–2884.
ICPRICPR-2014-TaniH #detection #robust #using
Robust Human Detection to Pose and Occlusion Using Bag-of-Words (YT, KH), pp. 4376–4381.
KDIRKDIR-2014-AlahmadiJM #classification #concept #representation #using
Arabic Text Classification using Bag-of-Concepts Representation (AA, AJ, AEM), pp. 374–380.
DocEngDocEng-2013-NguyenOC #multimodal
Bag of subjects: lecture videos multimodal indexing (NVN, JMO, FC), pp. 225–226.
ICDARICDAR-2013-RothackerRF #documentation #word
Bag-of-Features HMMs for Segmentation-Free Word Spotting in Handwritten Documents (LR, MR, GAF), pp. 1305–1309.
ICDARICDAR-2013-SantoshWL #retrieval
Relation Bag-of-Features for Symbol Retrieval (KCS, LW, BL), pp. 768–772.
ECIRECIR-2013-ZhangZBC #categorisation #distance #encoding #visual notation
Encoding Local Binary Descriptors by Bag-of-Features with Hamming Distance for Visual Object Categorization (YZ, CZ, SB, LC), pp. 630–641.
SIGIRSIGIR-2013-Galle #documentation #representation
The bag-of-repeats representation of documents (MG), pp. 1053–1056.
SACSAC-2013-MaunzVH #graph #mining
Out-of-bag discriminative graph mining (AM, DV, CH), pp. 109–114.
CIKMCIKM-2012-WangSE #correlation #retrieval #video
Improving bag-of-visual-words model with spatial-temporal correlation for video retrieval (LW, DS, EE), pp. 1303–1312.
ICPRICPR-2012-BattiatoFGP #classification #modelling
Aligning Bags of Shape Contexts for Blurred Shape Model based symbol classification (SB, GMF, OG, GP), pp. 1598–1601.
ICPRICPR-2012-Hernandez-VelaBPPBPAE #gesture #named #recognition
BoVDW: Bag-of-Visual-and-Depth-Words for gesture recognition (AHV, MÁB, XPS, VPL, XB, OP, CA, SE), pp. 449–452.
ICPRICPR-2012-HouHZQ #named #paradigm #retrieval
Bag-of-feature-graphs: A new paradigm for non-rigid shape retrieval (TH, XH, MZ, HQ), pp. 1513–1516.
ICPRICPR-2012-ParisHG #analysis #categorisation #image #towards
Sparse coding for histograms of local binary patterns applied for image categorization: Toward a Bag-of-Scenes analysis (SP, XH, HG), pp. 2817–2820.
ICPRICPR-2012-ZhouWXZM12a #recognition #representation
Human action recognition by bagging data dependent representation (WZ, CW, BX, ZZ, LM), pp. 3120–3123.
ICPRICPR-2012-ZnaidiaSBHP #classification #image #multi
Bag-of-multimedia-words for image classification (AZ, AS, HLB, CH, NP), pp. 1509–1512.
MLDMMLDM-2012-SyarifZPW #detection
Application of Bagging, Boosting and Stacking to Intrusion Detection (IS, EZ, APB, GW), pp. 593–602.
SIGIRSIGIR-2012-LiX #machine learning #web
Beyond bag-of-words: machine learning for query-document matching in web search (HL, JX), p. 1177.
DocEngDocEng-2011-RossiR #representation #topic #using
Building a topic hierarchy using the bag-of-related-words representation (RGR, SOR), pp. 195–204.
ICDARICDAR-2011-BoumaizaT #approach #novel #recognition #representation #word
A Novel Approach for Graphics Recognition Based on Galois Lattice and Bag of Words Representation (AB, ST), pp. 829–833.
ICDARICDAR-2011-MarinaiMS11a #distance #retrieval #using
Using Earth Mover’s Distance in the Bag-of-Visual-Words Model for Mathematical Symbol Retrieval (SM, BM, GS), pp. 1309–1313.
ICDARICDAR-2011-NguyenCO #approach #classification
Bags of Strokes Based Approach for Classification and Indexing of Drop Caps (TTHN, MC, JMO), pp. 349–353.
ICEISICEIS-v1-2011-MasadaSO #clustering #documentation #feature model #string
Documents as a Bag of Maximal Substrings — An Unsupervised Feature Extraction for Document Clustering (TM, YS, KO), pp. 5–13.
ICMLICML-2011-BabenkoVDB #learning #multi
Multiple Instance Learning with Manifold Bags (BB, NV, PD, SB), pp. 81–88.
KDIRKDIR-2011-AliDKB #classification #image
Bio-inspired Bags-of-features for Image Classification (WBHA, ED, PK, MB), pp. 277–281.
SIGIRSIGIR-2011-ChatzichristofisZA #image #multimodal #retrieval
Bag-of-visual-words vs global image descriptors on two-stage multimodal retrieval (SAC, KZ, AA), pp. 1251–1252.
SIGIRSIGIR-2011-GanjisaffarCL #modelling #precise #ranking
Bagging gradient-boosted trees for high precision, low variance ranking models (YG, RC, CVL), pp. 85–94.
HPDCHPDC-2011-MinhW #analysis #parallel #performance #towards
Towards a profound analysis of bags-of-tasks in parallel systems and their performance impact (TNM, LW), pp. 111–122.
CAVCAV-2011-PhamTTC #constraints #fixpoint #named #quantifier
FixBag: A Fixpoint Calculator for Quantified Bag Constraints (THP, MTT, AHT, WNC), pp. 656–662.
CHICHI-2010-ParkZ #process
Investigating the opportunity for a smart activity bag (SYP, JZ), pp. 2543–2552.
CIKMCIKM-2010-PavlovGB #hybrid #named #scalability
BagBoo: a scalable hybrid bagging-the-boosting model (DYP, AG, CAB), pp. 1897–1900.
ECIRECIR-2010-KarlgrenEST #identification
Between Bags and Trees — Constructional Patterns in Text Used for Attitude Identification (JK, GE, MS, OT), pp. 38–49.
ICPRICPR-2010-GordoP #approach #classification #documentation #multi
A Bag-of-Pages Approach to Unordered Multi-page Document Classification (AG, FP), pp. 1920–1923.
ICPRICPR-2010-JiaM #design #using
Classifying Textile Designs Using Bags of Shapes (WJ, SJM), pp. 294–297.
ICPRICPR-2010-KobayashiO10a #classification #image
Bag of Hierarchical Co-occurrence Features for Image Classification (TK, NO), pp. 3882–3885.
ICPRICPR-2010-LiIK #recognition #robust #using #word
Robust Face Recognition Using Block-Based Bag of Words (ZL, JiI, MK), pp. 1285–1288.
ICPRICPR-2010-MarinaiMS #clustering #identification #recognition
Bag of Characters and SOM Clustering for Script Recognition and Writer Identification (SM, BM, GS), pp. 2182–2185.
ICPRICPR-2010-VigoKWG #recognition
The Impact of Color on Bag-of-Words Based Object Recognition (DARV, FSK, JvdW, TG), pp. 1549–1553.
ICPRICPR-2010-WuLSZ #modelling #word
Integrating ILSR to Bag-of-Visual Words Model Based on Sparse Codes of SIFT Features Representations (LW, SL, WS, XZ), pp. 4283–4286.
ICPRICPR-2010-YangLC
Bag of Features Tracking (FY, HL, YWC), pp. 153–156.
ICDARICDAR-2009-RusinolL #approach #categorisation #documentation
Logo Spotting by a Bag-of-words Approach for Document Categorization (MR, JL), pp. 111–115.
ICDARICDAR-2009-SchullerSRK #analysis #bibliography #estimation #online #quote
“The Godfather” vs. “Chaos”: Comparing Linguistic Analysis Based on On-line Knowledge Sources and Bags-of-N-Grams for Movie Review Valence Estimation (BWS, JS, GR, TK), pp. 858–862.
CIKMCIKM-2009-ChenLQZ #classification
Instance- and bag-level manifold regularization for aggregate outputs classification (SC, BL, MQ, CZ), pp. 1593–1596.
VMCAIVMCAI-2009-Maier
Deciding Extensions of the Theories of Vectors and Bags (PM), pp. 245–259.
ICPRICPR-2008-DeselaersPN #classification #image #modelling
Bag-of-visual-words models for adult image classification and filtering (TD, LP, HN), pp. 1–4.
ICPRICPR-2008-SharmaCS #classification #kernel
Bag-of-features kernel eigen spaces for classification (GS, SC, JBS), pp. 1–4.
ICPRICPR-2008-ShidaraKN #classification #consistency
Classification by bagged consistent itemset rules (YS, MK, AN), pp. 1–4.
ICPRICPR-2008-ZhuBQ #lazy evaluation #learning
Bagging very weak learners with lazy local learning (XZ, CB, WQ), pp. 1–4.
SIGIRSIGIR-2008-JiangN #using #video #visual notation
Bag-of-visual-words expansion using visual relatedness for video indexing (YGJ, CWN), pp. 769–770.
HPDCHPDC-2008-IosupSAE #distributed #performance #scalability
The performance of bags-of-tasks in large-scale distributed systems (AI, OOS, SA, DHJE), pp. 97–108.
ICMLICML-2007-BunescuM #learning #multi
Multiple instance learning for sparse positive bags (RCB, RJM), pp. 105–112.
PODSPODS-2006-Cohen #equivalence #query #semantics #set
Equivalence of queries combining set and bag-set semantics (SC), pp. 70–79.
DLTDLT-2006-DrewesTEMW
Bag Context Tree Grammars (FD, CdT, SE, BvdM, APJvdW), pp. 226–237.
SEFMSEFM-2006-RodriguesBCFG #approach #using
A Bag-of-Tasks Approach for State Space Exploration Using Computational Grids (CLR, PESB, JMC, JCAdF, DSG), pp. 226–235.
ICMLICML-2006-Martinez-MunozS #order
Pruning in ordered bagging ensembles (GMM, AS), pp. 609–616.
ICMLICML-2006-Wallach #modelling #topic
Topic modeling: beyond bag-of-words (HMW), pp. 977–984.
ICPRICPR-v3-2006-LiZSCG #analysis #kernel #performance #recognition
Bagging Based Efficient Kernel Fisher Discriminant Analysis for Face Recognition (YL, BZ, SS, XC, WG), pp. 523–526.
ICDARICDAR-2005-BarbuHAT #clustering #documentation #image #representation #using
Clustering document images using a bag of symbols representation (EB, PH, SA, ÉT), pp. 1216–1220.
ICMLICML-2005-EspositoS #classification #comparison #monte carlo
Experimental comparison between bagging and Monte Carlo ensemble classification (RE, LS), pp. 209–216.
KDDKDD-2005-LazarevicK #detection
Feature bagging for outlier detection (AL, VK), pp. 157–166.
KDDKDD-2005-Rosset #robust
Robust boosting and its relation to bagging (SR), pp. 249–255.
MLDMMLDM-2005-KotsiantisTP #estimation #random
Bagging Random Trees for Estimation of Tissue Softness (SBK, GET, PEP), pp. 674–681.
CIAACIAA-2003-DaleyEM #automaton #probability #retrieval
Bag Automata and Stochastic Retrieval of Biomolecules in Solution (MD, MGE, IM), pp. 239–250.
ICMLICML-2003-ValentiniD #bias
Low Bias Bagged Support Vector Machines (GV, TGD), pp. 752–759.
KDDKDD-2003-JoshiAKN #documentation #similarity #web
A bag of paths model for measuring structural similarity in Web documents (SJ, NA, RK, SN), pp. 577–582.
KDDKDD-2003-LeungP #empirical
Empirical comparisons of various voting methods in bagging (KTL, DSPJ), pp. 595–600.
KDDKDD-2001-OzaR #online
Experimental comparisons of online and batch versions of bagging and boosting (NCO, SJR), pp. 359–364.
ICDARICDAR-1999-NishimuraKMN #algorithm #feature model #multi #recognition #using
Off-line Character Recognition using HMM by Multiple Directional Feature Extraction and Voting with Bagging Algorithm (HN, MK, MM, YN), pp. 49–52.
FoSSaCSFoSSaCS-1999-DantsinV #algorithm #nondeterminism #polynomial #set #unification
A Nondeterministic Polynomial-Time Unification Algorithm for Bags, Sets and Trees (ED, AV), pp. 180–196.
ICMLICML-1998-AbeM #learning #query #using
Query Learning Strategies Using Boosting and Bagging (NA, HM), pp. 1–9.
ICMLICML-1997-TingW #modelling
Stacking Bagged and Dagged Models (KMT, IHW), pp. 367–375.
KDDKDD-1997-Domingos #why
Why Does Bagging Work? A Bayesian Account and its Implications (PMD), pp. 155–158.
KDDKDD-1997-RaoP #visualisation
Visualizing Bagged Decision Trees (JSR, WJEP), pp. 243–246.
PODSPODS-1994-LibkinW #set
New Techniques for Studying Set Languages, Bag Languages and Aggregate Functions (LL, LW), pp. 155–166.
SEKESEKE-1994-CookeDGK #concurrent #linear #logic programming #source code
Bag languages, concurrency, Horn logic programs, and linear logic (DEC, RD, AQG, VK), pp. 289–297.
PODSPODS-1993-GrumbachM #algebra #towards
Towards Tractable Algebras for Bags (SG, TM), pp. 49–58.
FPCAFPCA-1993-KuchenG #implementation #parallel
Parallel Implementation of Bags (HK, KG), pp. 299–307.
SEKESEKE-1992-CookeG
An Introduction to BagL (DEC, AG), pp. 479–486.
VLDBVLDB-1991-Albert #algebra #data type
Algebraic Properties of Bag Data Types (JA), pp. 211–219.
ICALPICALP-1991-TannenS #aspect-oriented #logic #programming #set
Logical and Computational Aspects of Programming with Sets/Bags/Lists (VT, RS), pp. 60–75.

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.