Stem bag$ (all stems)

90 papers:

MLDM-2015-Babu #classification #identification #using

Offline Writer Identification in Tamil Using Bagged Classification Trees (SB), pp. 342–354.

SIGIR-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.

SAC-2015-PedrosaTB

Shape description based on bag of salience points (GVP, AJMT, CAZB), pp. 74–79.

DRR-2014-KleberDS #classification #retrieval #using #word

Form classification and retrieval using bag of words with shape features of line structures (FK, MD, RS), pp. 902107–9.

CIKM-2014-BottcherLZ #equivalence #query

Pulling Conjunctive Query Equivalence out of the Bag (SB, SL, LZ), pp. 41–50.

ICML-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.

ICPR-2014-GaoRKL #documentation

Embedding Document Structure to Bag-of-Words through Pair-wise Stable Key-Regions (HG, MR, DK, JL), pp. 2903–2908.

ICPR-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.

ICPR-2014-KapsourasN #approach #recognition #using

Action Recognition in Motion Capture Data Using a Bag of Postures Approach (IK, NN), pp. 2649–2654.

ICPR-2014-KhanWBF #recognition

Scale Coding Bag-of-Words for Action Recognition (FSK, JvdW, ADB, MF), pp. 1514–1519.

ICPR-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.

ICPR-2014-TaniH #detection #robust #using

Robust Human Detection to Pose and Occlusion Using Bag-of-Words (YT, KH), pp. 4376–4381.

KDIR-2014-AlahmadiJM #classification #concept #representation #using

Arabic Text Classification using Bag-of-Concepts Representation (AA, AJ, AEM), pp. 374–380.

DocEng-2013-NguyenOC #multimodal

Bag of subjects: lecture videos multimodal indexing (NVN, JMO, FC), pp. 225–226.

ICDAR-2013-RothackerRF #documentation #word

Bag-of-Features HMMs for Segmentation-Free Word Spotting in Handwritten Documents (LR, MR, GAF), pp. 1305–1309.

ICDAR-2013-SantoshWL #retrieval

Relation Bag-of-Features for Symbol Retrieval (KCS, LW, BL), pp. 768–772.

ECIR-2013-ZhangZBC #categorisation #distance #encoding #visual notation

Encoding Local Binary Descriptors by Bag-of-Features with Hamming Distance for Visual Object Categorization (YZ, CZ, SB, LC), pp. 630–641.

SIGIR-2013-Galle #documentation #representation

The bag-of-repeats representation of documents (MG), pp. 1053–1056.

SAC-2013-MaunzVH #graph #mining

Out-of-bag discriminative graph mining (AM, DV, CH), pp. 109–114.

CIKM-2012-WangSE #correlation #retrieval #video

Improving bag-of-visual-words model with spatial-temporal correlation for video retrieval (LW, DS, EE), pp. 1303–1312.

ICPR-2012-BattiatoFGP #classification #modelling

Aligning Bags of Shape Contexts for Blurred Shape Model based symbol classification (SB, GMF, OG, GP), pp. 1598–1601.

ICPR-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.

ICPR-2012-HouHZQ #named #paradigm #retrieval

Bag-of-feature-graphs: A new paradigm for non-rigid shape retrieval (TH, XH, MZ, HQ), pp. 1513–1516.

ICPR-2012-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.

ICPR-2012-ZhouWXZM12a #recognition #representation

Human action recognition by bagging data dependent representation (WZ, CW, BX, ZZ, LM), pp. 3120–3123.

ICPR-2012-ZnaidiaSBHP #classification #image #multi

Bag-of-multimedia-words for image classification (AZ, AS, HLB, CH, NP), pp. 1509–1512.

MLDM-2012-SyarifZPW #detection

Application of Bagging, Boosting and Stacking to Intrusion Detection (IS, EZ, APB, GW), pp. 593–602.

SIGIR-2012-LiX #machine learning #web

Beyond bag-of-words: machine learning for query-document matching in web search (HL, JX), p. 1177.

DocEng-2011-RossiR #representation #topic #using

Building a topic hierarchy using the bag-of-related-words representation (RGR, SOR), pp. 195–204.

ICDAR-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.

ICDAR-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.

ICDAR-2011-NguyenCO #approach #classification

Bags of Strokes Based Approach for Classification and Indexing of Drop Caps (TTHN, MC, JMO), pp. 349–353.

ICEIS-v1-2011-MasadaSO #clustering #documentation #feature model #string

Documents as a Bag of Maximal Substrings — An Unsupervised Feature Extraction for Document Clustering (TM, YS, KO), pp. 5–13.

ICML-2011-BabenkoVDB #learning #multi

Multiple Instance Learning with Manifold Bags (BB, NV, PD, SB), pp. 81–88.

KDIR-2011-AliDKB #classification #image

Bio-inspired Bags-of-features for Image Classification (WBHA, ED, PK, MB), pp. 277–281.

SIGIR-2011-ChatzichristofisZA #image #multimodal #retrieval

Bag-of-visual-words vs global image descriptors on two-stage multimodal retrieval (SAC, KZ, AA), pp. 1251–1252.

SIGIR-2011-GanjisaffarCL #modelling #precise #ranking

Bagging gradient-boosted trees for high precision, low variance ranking models (YG, RC, CVL), pp. 85–94.

HPDC-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.

CAV-2011-PhamTTC #constraints #fixpoint #named #quantifier

FixBag: A Fixpoint Calculator for Quantified Bag Constraints (THP, MTT, AHT, WNC), pp. 656–662.

CHI-2010-ParkZ #process

Investigating the opportunity for a smart activity bag (SYP, JZ), pp. 2543–2552.

CIKM-2010-PavlovGB #hybrid #named #scalability

BagBoo: a scalable hybrid bagging-the-boosting model (DYP, AG, CAB), pp. 1897–1900.

ECIR-2010-KarlgrenEST #identification

Between Bags and Trees — Constructional Patterns in Text Used for Attitude Identification (JK, GE, MS, OT), pp. 38–49.

ICPR-2010-GordoP #approach #classification #documentation #multi

A Bag-of-Pages Approach to Unordered Multi-page Document Classification (AG, FP), pp. 1920–1923.

ICPR-2010-JiaM #design #using

Classifying Textile Designs Using Bags of Shapes (WJ, SJM), pp. 294–297.

ICPR-2010-KobayashiO10a #classification #image

Bag of Hierarchical Co-occurrence Features for Image Classification (TK, NO), pp. 3882–3885.

ICPR-2010-LiIK #recognition #robust #using #word

Robust Face Recognition Using Block-Based Bag of Words (ZL, JiI, MK), pp. 1285–1288.

ICPR-2010-MarinaiMS #clustering #identification #recognition

Bag of Characters and SOM Clustering for Script Recognition and Writer Identification (SM, BM, GS), pp. 2182–2185.

ICPR-2010-VigoKWG #recognition

The Impact of Color on Bag-of-Words Based Object Recognition (DARV, FSK, JvdW, TG), pp. 1549–1553.

ICPR-2010-WuLSZ #modelling #word

Integrating ILSR to Bag-of-Visual Words Model Based on Sparse Codes of SIFT Features Representations (LW, SL, WS, XZ), pp. 4283–4286.

ICPR-2010-YangLC

Bag of Features Tracking (FY, HL, YWC), pp. 153–156.

ICDAR-2009-RusinolL #approach #categorisation #documentation

Logo Spotting by a Bag-of-words Approach for Document Categorization (MR, JL), pp. 111–115.

ICDAR-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.

CIKM-2009-ChenLQZ #classification

Instance- and bag-level manifold regularization for aggregate outputs classification (SC, BL, MQ, CZ), pp. 1593–1596.

VMCAI-2009-Maier

Deciding Extensions of the Theories of Vectors and Bags (PM), pp. 245–259.

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-SharmaCS #classification #kernel

Bag-of-features kernel eigen spaces for classification (GS, SC, JBS), pp. 1–4.

ICPR-2008-ShidaraKN #classification #consistency

Classification by bagged consistent itemset rules (YS, MK, AN), pp. 1–4.

ICPR-2008-ZhuBQ #lazy evaluation #learning

Bagging very weak learners with lazy local learning (XZ, CB, WQ), pp. 1–4.

SIGIR-2008-JiangN #using #video #visual notation

Bag-of-visual-words expansion using visual relatedness for video indexing (YGJ, CWN), pp. 769–770.

HPDC-2008-IosupSAE #distributed #performance #scalability

The performance of bags-of-tasks in large-scale distributed systems (AI, OOS, SA, DHJE), pp. 97–108.

ICML-2007-BunescuM #learning #multi

Multiple instance learning for sparse positive bags (RCB, RJM), pp. 105–112.

PODS-2006-Cohen #equivalence #query #semantics #set

Equivalence of queries combining set and bag-set semantics (SC), pp. 70–79.

DLT-2006-DrewesTEMW

Bag Context Tree Grammars (FD, CdT, SE, BvdM, APJvdW), pp. 226–237.

SEFM-2006-RodriguesBCFG #approach #using

A Bag-of-Tasks Approach for State Space Exploration Using Computational Grids (CLR, PESB, JMC, JCAdF, DSG), pp. 226–235.

ICML-2006-Martinez-MunozS #order

Pruning in ordered bagging ensembles (GMM, AS), pp. 609–616.

ICML-2006-Wallach #modelling #topic

Topic modeling: beyond bag-of-words (HMW), pp. 977–984.

ICPR-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.

ICDAR-2005-BarbuHAT #clustering #documentation #image #representation #using

Clustering document images using a bag of symbols representation (EB, PH, SA, ÉT), pp. 1216–1220.

ICML-2005-EspositoS #classification #comparison #monte carlo

Experimental comparison between bagging and Monte Carlo ensemble classification (RE, LS), pp. 209–216.

KDD-2005-LazarevicK #detection

Feature bagging for outlier detection (AL, VK), pp. 157–166.

KDD-2005-Rosset #robust

Robust boosting and its relation to bagging (SR), pp. 249–255.

MLDM-2005-KotsiantisTP #estimation #random

Bagging Random Trees for Estimation of Tissue Softness (SBK, GET, PEP), pp. 674–681.

CIAA-2003-DaleyEM #automaton #probability #retrieval

Bag Automata and Stochastic Retrieval of Biomolecules in Solution (MD, MGE, IM), pp. 239–250.

ICML-2003-ValentiniD #bias

Low Bias Bagged Support Vector Machines (GV, TGD), pp. 752–759.

KDD-2003-JoshiAKN #documentation #similarity #web

A bag of paths model for measuring structural similarity in Web documents (SJ, NA, RK, SN), pp. 577–582.

KDD-2003-LeungP #empirical

Empirical comparisons of various voting methods in bagging (KTL, DSPJ), pp. 595–600.

KDD-2001-OzaR #online

Experimental comparisons of online and batch versions of bagging and boosting (NCO, SJR), pp. 359–364.

ICDAR-1999-NishimuraKMN #algorithm #feature model #multi #recognition #using

Off-line Character Recognition using HMM by Multiple Directional Feature Extraction and Voting with Bagging Algorithm (HN, MK, MM, YN), pp. 49–52.

FoSSaCS-1999-DantsinV #algorithm #nondeterminism #polynomial #set #unification

A Nondeterministic Polynomial-Time Unification Algorithm for Bags, Sets and Trees (ED, AV), pp. 180–196.

ICML-1998-AbeM #learning #query #using

Query Learning Strategies Using Boosting and Bagging (NA, HM), pp. 1–9.

ICML-1997-TingW #modelling

Stacking Bagged and Dagged Models (KMT, IHW), pp. 367–375.

KDD-1997-Domingos #why

Why Does Bagging Work? A Bayesian Account and its Implications (PMD), pp. 155–158.

KDD-1997-RaoP #visualisation

Visualizing Bagged Decision Trees (JSR, WJEP), pp. 243–246.

PODS-1994-LibkinW #set

New Techniques for Studying Set Languages, Bag Languages and Aggregate Functions (LL, LW), pp. 155–166.

SEKE-1994-CookeDGK #concurrent #linear #logic programming #source code

Bag languages, concurrency, Horn logic programs, and linear logic (DEC, RD, AQG, VK), pp. 289–297.

PODS-1993-GrumbachM #algebra #towards

Towards Tractable Algebras for Bags (SG, TM), pp. 49–58.

FPCA-1993-KuchenG #implementation #parallel

Parallel Implementation of Bags (HK, KG), pp. 299–307.

SEKE-1992-CookeG

An Introduction to BagL (DEC, AG), pp. 479–486.

VLDB-1991-Albert #algebra #data type

Algebraic Properties of Bag Data Types (JA), pp. 211–219.

ICALP-1991-TannenS #aspect-oriented #logic #programming #set

Logical and Computational Aspects of Programming with Sets/Bags/Lists (VT, RS), pp. 60–75.