Stem latent$ (all stems)

257 papers:

ECIR-2015-KotovRAR #microblog #modelling #retrieval

Geographical Latent Variable Models for Microblog Retrieval (AK, VR, EA, CKR), pp. 635–647.

ECIR-2015-LiC #effectiveness #using

Effective Healthcare Advertising Using Latent Dirichlet Allocation and Inference Engine (YCL, CCC), pp. 672–677.

ECIR-2015-VuWTS #personalisation #topic

Temporal Latent Topic User Profiles for Search Personalisation (TTV, AW, SNT, DS), pp. 605–616.

ICML-2015-BachHBG #learning #performance

Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs (SHB, BH, JLBG, LG), pp. 381–390.

ICML-2015-FouldsKG #framework #modelling #network #probability #programming #topic

Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models (JRF, SHK, LG), pp. 777–786.

ICML-2015-GalCG #category theory #estimation #multi #process

Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data (YG, YC, ZG), pp. 645–654.

ICML-2015-ScholkopfHWFJSP #fault

Removing systematic errors for exoplanet search via latent causes (BS, DWH, DW, DFM, DJ, CJSG, JP), pp. 2218–2226.

KDD-2015-FuLPXGZZ #modelling #ranking

Real Estate Ranking via Mixed Land-use Latent Models (YF, GL, SP, HX, YG, HZ, CZ), pp. 299–308.

KDD-2015-MomtazpourZRSR #cyber-physical #invariant #using

Analyzing Invariants in Cyber-Physical Systems using Latent Factor Regression (MM, JZ, SR, RKS, NR), pp. 2009–2018.

KDD-2015-OuCWW0 #component #similarity #transitive

Non-transitive Hashing with Latent Similarity Components (MO, PC, FW, JW, WZ), pp. 895–904.

KDD-2015-SatoN #online #probability

Stochastic Divergence Minimization for Online Collapsed Variational Bayes Zero Inference of Latent Dirichlet Allocation (IS, HN), pp. 1035–1044.

KDD-2015-SongMT #network #performance #recommendation

Efficient Latent Link Recommendation in Signed Networks (DS, DAM, DT), pp. 1105–1114.

KDD-2015-YangH #learning #multi

Model Multiple Heterogeneity via Hierarchical Multi-Latent Space Learning (PY, JH), pp. 1375–1384.

RecSys-2015-Guardia-Sebaoun #modelling #performance #recommendation

Latent Trajectory Modeling: A Light and Efficient Way to Introduce Time in Recommender Systems (ÉGS, VG, PG), pp. 281–284.

RecSys-2015-Unger #recommendation

Latent Context-Aware Recommender Systems (MU), pp. 383–386.

SIGIR-2015-LiuW #collaboration #learning

Learning Context-aware Latent Representations for Context-aware Collaborative Filtering (XL, WW), pp. 887–890.

SIGIR-2015-VolkovsY #effectiveness #feedback #modelling #recommendation

Effective Latent Models for Binary Feedback in Recommender Systems (MV, GWY), pp. 313–322.

SIGMOD-2014-HanW #mining

Mining latent entity structures from massive unstructured and interconnected data (JH, CW), pp. 1409–1410.

CIKM-2014-ShenHGDM #information retrieval #semantics

A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval (YS, XH, JG, LD, GM), pp. 101–110.

CIKM-2014-TakayamaTIOFC #detection #probability

A Word-Scale Probabilistic Latent Variable Model for Detecting Human Values (YT, YT, EI, DWO, KRF, ASC), pp. 1489–1498.

CIKM-2014-WenR #behaviour #identification #mining #online

Identifying Latent Study Habits by Mining Learner Behavior Patterns in Massive Open Online Courses (MW, CPR), pp. 1983–1986.

CIKM-2014-XuLLZCS #mining

Latent Aspect Mining via Exploring Sparsity and Intrinsic Information (YX, TL, WL, ZZ, HC, AMCS), pp. 879–888.

CIKM-2014-ZhangLCZW #collaboration

Exploit Latent Dirichlet Allocation for One-Class Collaborative Filtering (HZ, ZL, YC, XZ, SW), pp. 1991–1994.

ECIR-2014-ZhangZWS #network #recommendation

Content + Attributes: A Latent Factor Model for Recommending Scientific Papers in Heterogeneous Academic Networks (CZ, XZ, KW, JS), pp. 39–50.

ICML-c1-2014-LethamSS #transaction

Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data (BL, WS, AS), pp. 217–225.

ICML-c1-2014-LianREC #correlation #markov #modelling #process

Modeling Correlated Arrival Events with Latent Semi-Markov Processes (WL, VR, BE, LC), pp. 396–404.

ICML-c1-2014-MaillardM

Latent Bandits (OAM, SM), pp. 136–144.

ICML-c1-2014-SamdaniCR #clustering #online

A Discriminative Latent Variable Model for Online Clustering (RS, KWC, DR), pp. 1–9.

ICML-c2-2014-ChagantyL #modelling #using #visual notation

Estimating Latent-Variable Graphical Models using Moments and Likelihoods (ATC, PL), pp. 1872–1880.

ICML-c2-2014-LiG #classification #learning #representation #semantics

Latent Semantic Representation Learning for Scene Classification (XL, YG), pp. 532–540.

ICML-c2-2014-LindermanA #network #process

Discovering Latent Network Structure in Point Process Data (SWL, RPA), pp. 1413–1421.

ICML-c2-2014-MengEH #learning #modelling #visual notation

Learning Latent Variable Gaussian Graphical Models (ZM, BE, AOHI), pp. 1269–1277.

ICML-c2-2014-SatoKN #analysis #normalisation

Latent Confusion Analysis by Normalized Gamma Construction (IS, HK, HN), pp. 1116–1124.

ICML-c2-2014-SongADX #estimation #modelling #multi #parametricity

Nonparametric Estimation of Multi-View Latent Variable Models (LS, AA, BD, BX), pp. 640–648.

ICPR-2014-AfkhamEC #framework #modelling

A Topological Framework for Training Latent Variable Models (HMA, CHE, SC), pp. 2471–2476.

ICPR-2014-ChenL #effectiveness #locality

Effective Part Localization in Latent-SVM Training (YC, RL), pp. 4269–4274.

ICPR-2014-HaoXPSK #automation #semantics #topic #using

Automated Chinese Essay Scoring from Topic Perspective Using Regularized Latent Semantic Indexing (SH, YX, HP, KS, DK), pp. 3092–3097.

ICPR-2014-KrishFROB #identification

Pre-registration for Improved Latent Fingerprint Identification (RPK, JF, DRC, JOG, JB), pp. 696–701.

ICPR-2014-QianZX #classification #multi #social

Boosted Multi-modal Supervised Latent Dirichlet Allocation for Social Event Classification (SQ, TZ, CX), pp. 1999–2004.

ICPR-2014-WangGJ #learning #using

Learning with Hidden Information Using a Max-Margin Latent Variable Model (ZW, TG, QJ), pp. 1389–1394.

ICPR-2014-YangYHD #modelling #recognition

A Hierarchical Model Based on Latent Dirichlet Allocation for Action Recognition (SY, CY, WH, XD), pp. 2613–2618.

KDD-2014-HuHA #e-commerce #modelling #scalability #social

Style in the long tail: discovering unique interests with latent variable models in large scale social E-commerce (DJH, RH, JA), pp. 1640–1649.

KDD-2014-KurashimaITS #network #probability #visualisation

Probabilistic latent network visualization: inferring and embedding diffusion networks (TK, TI, NT, HS), pp. 1236–1245.

KDD-2014-RossCCD #clustering #process

Dual beta process priors for latent cluster discovery in chronic obstructive pulmonary disease (JCR, PJC, MHC, JGD), pp. 155–162.

SIGIR-2014-CarterCP #community #enterprise #modelling #query

Latent community discovery through enterprise user search query modeling (KMC, RSC, BP), pp. 871–874.

SIGIR-2014-ChengYWL #behaviour #multi #recommendation

Group latent factor model for recommendation with multiple user behaviors (JC, TY, JW, HL), pp. 995–998.

SIGIR-2014-Sebastian #clustering #predict #semantics #using

Cluster links prediction for literature based discovery using latent structure and semantic features (YS), p. 1275.

SIGIR-2014-TsolmonL #analysis #modelling #timeline

An event extraction model based on timeline and user analysis in Latent Dirichlet allocation (BT, KSL), pp. 1187–1190.

SIGIR-2014-ZhangZLG #modelling

Supervised hashing with latent factor models (PZ, WZ, WJL, MG), pp. 173–182.

SIGIR-2014-ZhouDG #semantics #similarity

Latent semantic sparse hashing for cross-modal similarity search (JZ, GD, YG), pp. 415–424.

SAC-2014-ChenZTWS #modelling #recommendation

Comparing the staples in latent factor models for recommender systems (CC, LZ, AT, KW, SV), pp. 91–96.

SAC-2014-Zheng #matrix #using

Semi-supervised context-aware matrix factorization: using contexts in a way of “latent” factors (YZ), pp. 292–293.

HT-2013-KrestelS #generative #sentiment #topic

Generating contextualized sentiment lexica based on latent topics and user ratings (RK, SS), pp. 129–138.

ICSM-2013-VenkataramaniABM #analysis #repository #scalability #semantics

Latent Co-development Analysis Based Semantic Search for Large Code Repositories (RV, AMA, VDB, BM), pp. 372–375.

CIKM-2013-ChanLKLBR #graph #matrix #using

Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation (JC, WL, AK, CL, JB, KR), pp. 811–816.

CIKM-2013-FangHZ #analysis #bibliography #sentiment

Exploring weakly supervised latent sentiment explanations for aspect-level review analysis (LF, MH, XZ), pp. 1057–1066.

CIKM-2013-SordoniHN #information retrieval #interactive #modelling #quantum #topic #using

Modeling latent topic interactions using quantum interference for information retrieval (AS, JH, JYN), pp. 1197–1200.

CIKM-2013-ZhiltsovA #linked data #modelling #open data #semantics

Improving entity search over linked data by modeling latent semantics (NZ, EA), pp. 1253–1256.

ECIR-2013-GaoDGG #modelling #relational

Latent Factor BlockModel for Modelling Relational Data (SG, LD, PG, JG), pp. 447–458.

ECIR-2013-PatilDV #concept

Leveraging Latent Concepts for Retrieving Relevant Ads for Short Text (AP, KSD, VV), pp. 780–783.

ICML-c1-2013-AnandkumarHJK #learning #linear #network

Learning Linear Bayesian Networks with Latent Variables (AA, DH, AJ, SK), pp. 249–257.

ICML-c1-2013-HeaukulaniG #modelling #network #probability #social

Dynamic Probabilistic Models for Latent Feature Propagation in Social Networks (CH, ZG), pp. 275–283.

ICML-c1-2013-ZhaiB #infinity #online

Online Latent Dirichlet Allocation with Infinite Vocabulary (KZ, JLBG), pp. 561–569.

ICML-c3-2013-AlmingolML #behaviour #learning #multi

Learning Multiple Behaviors from Unlabeled Demonstrations in a Latent Controller Space (JA, LM, ML), pp. 136–144.

ICML-c3-2013-BryanM #interactive #performance

An Efficient Posterior Regularized Latent Variable Model for Interactive Sound Source Separation (NJB, GJM), pp. 208–216.

ICML-c3-2013-IshtevaPS #order #using

Unfolding Latent Tree Structures using 4th Order Tensors (MI, HP, LS), pp. 316–324.

ICML-c3-2013-KhanAFS #modelling #performance

Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models (MEK, AYA, MPF, MWS), pp. 951–959.

ICML-c3-2013-SongIPXP #composition #modelling #visual notation

Hierarchical Tensor Decomposition of Latent Tree Graphical Models (LS, MI, APP, EPX, HP), pp. 334–342.

KDD-2013-BahadoriLX #learning #performance #probability #process

Fast structure learning in generalized stochastic processes with latent factors (MTB, YL, EPX), pp. 284–292.

KDD-2013-FouldsBDSW #probability

Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation (JRF, LB, CD, PS, MW), pp. 446–454.

KDD-2013-IwataSG #online #process #social

Discovering latent influence in online social activities via shared cascade poisson processes (TI, AS, ZG), pp. 266–274.

KDD-2013-ZhangWF #recommendation

Combining latent factor model with location features for event-based group recommendation (WZ, JW, WF), pp. 910–918.

RecSys-2013-KrestelS #recommendation #topic

Recommending patents based on latent topics (RK, PS), pp. 395–398.

RecSys-2013-WestonWY #multi

Nonlinear latent factorization by embedding multiple user interests (JW, RJW, HY), pp. 65–68.

RecSys-2013-ZhengI #effectiveness

Effectiveness of the data generated on different time in latent factor model (QZ, HHSI), pp. 327–330.

SEKE-2013-Al-MsiedeenSHUVS #concept analysis #mining #object-oriented #semantics #source code #using

Mining Features from the Object-Oriented Source Code of a Collection of Software Variants Using Formal Concept Analysis and Latent Semantic Indexing (RAM, ADS, MH, CU, SV, HES), pp. 244–249.

SIGIR-2013-AnH #analysis #information retrieval #probability #semantics

Boosting novelty for biomedical information retrieval through probabilistic latent semantic analysis (XA, JXH), pp. 829–832.

SIGIR-2013-LinSKC #modelling #recommendation #twitter

Addressing cold-start in app recommendation: latent user models constructed from twitter followers (JL, KS, MYK, TSC), pp. 283–292.

SIGIR-2013-ZhangWYW #learning #network #predict

Learning latent friendship propagation networks with interest awareness for link prediction (JZ, CW, PSY, JW), pp. 63–72.

VLDB-2012-TauheedHSMA #named #query

SCOUT: Prefetching for Latent Feature Following Queries (FT, TH, FS, HM, AA), pp. 1531–1542.

CSMR-2012-IslamMSS #multi #semantics #testing

A Multi-Objective Technique to Prioritize Test Cases Based on Latent Semantic Indexing (MMI, AM, AS, GS), pp. 21–30.

ICSM-2012-IslamMSKS #algorithm #named #search-based #semantics #sorting #testing

MOTCP: A tool for the prioritization of test cases based on a sorting genetic algorithm and Latent Semantic Indexing (MMI, AM, AS, FBK, GS), pp. 654–657.

CSCW-2012-PaoMCR #approach #collaboration #design

A need-driven design approach: addressing latent needs in collaboration rooted in early childhood (SYP, SM, KC, AR), pp. 829–832.

CIKM-2012-BohmKN #topic

Latent topics in graph-structured data (CB, GK, FN), pp. 2663–2666.

CIKM-2012-FangS #approach #feedback #learning #recommendation

A latent pairwise preference learning approach for recommendation from implicit feedback (YF, LS), pp. 2567–2570.

CIKM-2012-LiuW #analysis #on the #semantics

On the connections between explicit semantic analysis and latent semantic analysis (CL, YMW), pp. 1804–1808.

CIKM-2012-YaoS #learning #relational #ubiquitous

Exploiting latent relevance for relational learning of ubiquitous things (LY, QZS), pp. 1547–1551.

ECIR-2012-QuattoniCT #ranking #retrieval

A Latent Variable Ranking Model for Content-Based Retrieval (AQ, XC, AT), pp. 340–351.

ICML-2012-HanLC #learning #modelling #multi

Cross-Domain Multitask Learning with Latent Probit Models (SH, XL, LC), p. 51.

ICML-2012-HartikainenSS #modelling #predict

State-Space Inference for Non-Linear Latent Force Models with Application to Satellite Orbit Prediction (JH, MS, SS), p. 96.

ICML-2012-JalaliS #dependence #graph #learning

Learning the Dependence Graph of Time Series with Latent Factors (AJ, SS), p. 83.

ICML-2012-JawanpuriaN #learning

A Convex Feature Learning Formulation for Latent Task Structure Discovery (PJ, JSN), p. 199.

ICML-2012-KimL #graph #multi

Latent Multi-group Membership Graph Model (MK, JL), p. 124.

ICML-2012-KumarPK #learning #modelling #nondeterminism

Modeling Latent Variable Uncertainty for Loss-based Learning (MPK, BP, DK), p. 29.

ICML-2012-LiuL #modelling #multi #named

Sparse-GEV: Sparse Latent Space Model for Multivariate Extreme Value Time Serie Modeling (YL, MTB, HL), p. 156.

ICML-2012-MimnoHB #probability

Sparse stochastic inference for latent Dirichlet allocation (DMM, MDH, DMB), p. 197.

ICML-2012-PallaKG #infinity #network

An Infinite Latent Attribute Model for Network Data (KP, DAK, ZG), p. 55.

ICML-2012-PassosRWD #flexibility #learning #modelling #multi

Flexible Modeling of Latent Task Structures in Multitask Learning (AP, PR, JW, HDI), p. 167.

ICML-2012-SalazarC #category theory #relational

Inferring Latent Structure From Mixed Real and Categorical Relational Data (ES, LC), p. 219.

ICML-2012-SchwingHPU #modelling #performance #predict #visual notation

Efficient Structured Prediction with Latent Variables for General Graphical Models (AGS, TH, MP, RU), p. 216.

ICML-2012-WestonWWB #collaboration #retrieval

Latent Collaborative Retrieval (JW, CW, RJW, AB), p. 61.

ICML-2012-Zhu #feature model #modelling #parametricity #predict

Max-Margin Nonparametric Latent Feature Models for Link Prediction (JZ), p. 154.

ICPR-2012-CaoL #categorisation #fuzzy

Type-2 fuzzy labeled latent Dirichlet allocation for human action categorization (XQC, ZQL), pp. 1338–1341.

KDD-2012-MiaoGMYTAS #analysis #documentation

Latent association analysis of document pairs (GM, ZG, LEM, XY, ST, NA, JS), pp. 1415–1423.

KDD-2012-ShenJ #learning #recommendation #social

Learning personal + social latent factor model for social recommendation (YS, RJ), pp. 1303–1311.

KDD-2012-WangAB #modelling #named #online #performance #social #social media #topic

TM-LDA: efficient online modeling of latent topic transitions in social media (YW, EA, MB), pp. 123–131.

KDIR-2012-HavaSK #classification #documentation #network #semantics

Contextual Latent Semantic Networks used for Document Classification (OH, MS, PK), pp. 425–430.

KDIR-2012-IkebeKT #learning #predict #smarttech #using

Friendship Prediction using Semi-supervised Learning of Latent Features in Smartphone Usage Data (YI, MK, HT), pp. 199–205.

RecSys-2012-Manzato #recommendation

Discovering latent factors from movies genres for enhanced recommendation (MGM), pp. 249–252.

SIGIR-2012-ChenLYYN #network #social #web

Finding web appearances of social network users via latent factor model (KC, ZL, XY, YY, ZN), pp. 1077–1078.

SIGIR-2012-ShiZWLH #adaptation #recommendation

Adaptive diversification of recommendation results via latent factor portfolio (YS, XZ, JW, ML, AH), pp. 175–184.

HT-2011-SeroussiBZ #modelling #personalisation #predict #rating #using

Personalised rating prediction for new users using latent factor models (YS, FB, IZ), pp. 47–56.

SIGMOD-2011-AgarwalC

Latent OLAP: data cubes over latent variables (DA, BCC), pp. 877–888.

ITiCSE-2011-KleinKT #analysis #assessment #automation #semantics #using

Automated assessment of short free-text responses in computer science using latent semantic analysis (RK, AK, MT), pp. 158–162.

HCI-DDA-2011-KogaT #recommendation #topic #twitter #using

Developing a User Recommendation Engine on Twitter Using Estimated Latent Topics (HK, TT), pp. 461–470.

CIKM-2011-Ando #encoding #relational #using

Latent feature encoding using dyadic and relational data (SA), pp. 2201–2204.

CIKM-2011-BespalovBQS #analysis #classification #n-gram #sentiment

Sentiment classification based on supervised latent n-gram analysis (DB, BB, YQ, AS), pp. 375–382.

CIKM-2011-BingLW #query #social #topic #using

Using query log and social tagging to refine queries based on latent topics (LB, WL, TLW), pp. 583–592.

CIKM-2011-Bradford #implementation #scalability #semantics

Implementation techniques for large-scale latent semantic indexing applications (RBB), pp. 339–344.

CIKM-2011-GaoL #adaptation #analysis #classification #probability #sentiment #using

A cross-domain adaptation method for sentiment classification using probabilistic latent analysis (SG, HL), pp. 1047–1052.

CIKM-2011-GuoZGS #analysis #aspect-oriented #multi #sentiment

Domain customization for aspect-oriented opinion analysis with multi-level latent sentiment clues (HG, HZ, ZG, ZS), pp. 2493–2496.

CIKM-2011-HarveyCRC #collaboration #modelling #predict #rating

Bayesian latent variable models for collaborative item rating prediction (MH, MJC, IR, FC), pp. 699–708.

CIKM-2011-LiuCZH #learning #random

Learning conditional random fields with latent sparse features for acronym expansion finding (JL, JC, YZ, YH), pp. 867–872.

CIKM-2011-QuC #probability

Sparse structured probabilistic projections for factorized latent spaces (XQ, XC), pp. 1389–1394.

CIKM-2011-RenMWL #process #thread #topic #web

Summarizing web forum threads based on a latent topic propagation process (ZR, JM, SW, YL), pp. 879–884.

CIKM-2011-SannerGGKK #optimisation #retrieval #topic

Diverse retrieval via greedy optimization of expected 1-call@k in a latent subtopic relevance model (SS, SG, TG, SK, SK), pp. 1977–1980.

CIKM-2011-ShiLY #graph #predict

Collective prediction with latent graphs (XS, YL, PSY), pp. 1127–1136.

CIKM-2011-WahabzadaKPB #performance #scheduling

More influence means less work: fast latent dirichlet allocation by influence scheduling (MW, KK, AP, CB), pp. 2273–2276.

ECIR-2011-He #classification #sentiment

Latent Sentiment Model for Weakly-Supervised Cross-Lingual Sentiment Classification (YH), pp. 214–225.

ECIR-2011-Rehurek #analysis #semantics

Subspace Tracking for Latent Semantic Analysis (RR), pp. 289–300.

ECIR-2011-TackstromM #fine-grained #modelling #predict #sentiment

Discovering Fine-Grained Sentiment with Latent Variable Structured Prediction Models (OT, RTM), pp. 368–374.

ICML-2011-MarlinKM #bound #modelling

Piecewise Bounds for Estimating Bernoulli-Logistic Latent Gaussian Models (BMM, MEK, KPM), pp. 633–640.

ICML-2011-ParikhSX #algorithm #modelling #visual notation

A Spectral Algorithm for Latent Tree Graphical Models (APP, LS, EPX), pp. 1065–1072.

KDD-2011-AndrzejewskiB #feedback #information retrieval #topic

Latent topic feedback for information retrieval (DA, DB), pp. 600–608.

KDD-2011-LiuHLMPV #modelling #predict #quality #visual notation

Latent graphical models for quantifying and predicting patent quality (YL, PyH, RL, SM, CP, AV), pp. 1145–1153.

KDD-2011-WangLZ #analysis #keyword #rating

Latent aspect rating analysis without aspect keyword supervision (HW, YL, CZ), pp. 618–626.

SIGIR-2011-CetintasCSSD #modelling #online #probability

Forecasting counts of user visits for online display advertising with probabilistic latent class models (SC, DC, LS, BS, ZD), pp. 1217–1218.

SIGIR-2011-GaoTY #modelling #semantics #web

Clickthrough-based latent semantic models for web search (JG, KT, WtY), pp. 675–684.

SIGIR-2011-MoghaddamE #aspect-oriented #learning #named #online

ILDA: interdependent LDA model for learning latent aspects and their ratings from online product reviews (SM, ME), pp. 665–674.

SIGIR-2011-WangA #analysis #semantics

Temporal latent semantic analysis for collaboratively generated content: preliminary results (YW, EA), pp. 1145–1146.

SIGIR-2011-WangXLC #semantics

Regularized latent semantic indexing (QW, JX, HL, NC), pp. 685–694.

MoDELS-2011-JensenCGN #behaviour #detection

A Toolchain for the Detection of Structural and Behavioral Latent System Properties (ACJ, BHCC, HG, ECN), pp. 683–698.

MoDELS-2011-JensenCGN #behaviour #detection

A Toolchain for the Detection of Structural and Behavioral Latent System Properties (ACJ, BHCC, HG, ECN), pp. 683–698.

ICSM-2010-SavageDGP #named #source code #topic #using

TopicXP: Exploring topics in source code using Latent Dirichlet Allocation (TS, BD, MG, DP), pp. 1–6.

SCAM-2010-GrantC #analysis #concept #source code

Estimating the Optimal Number of Latent Concepts in Source Code Analysis (SG, JRC), pp. 65–74.

SEFM-2010-ScannielloRT #architecture #empirical #evaluation #semantics #using

Architecture Recovery Using Latent Semantic Indexing and K-Means: An Empirical Evaluation (GS, MR, GT), pp. 103–112.

CIKM-2010-Kawamae #topic

Latent interest-topic model: finding the causal relationships behind dyadic data (NK), pp. 649–658.

CIKM-2010-LangMWL #concept #markov #random #using

Improved latent concept expansion using hierarchical markov random fields (HL, DM, BW, JTL), pp. 249–258.

ECIR-2010-HuLW #collaboration

User’s Latent Interest-Based Collaborative Filtering (BH, ZL, JW), pp. 619–622.

ICML-2010-FelzenszwalbGMR #detection #modelling

Discriminative Latent Variable Models for Object Detection (PFF, RBG, DAM, DR), pp. 11–12.

ICPR-2010-CarliBBM #generative #kernel #modelling

Nonlinear Mappings for Generative Kernels on Latent Variable Models (ACC, MB, SB, VM), pp. 2134–2137.

ICPR-2010-DeufemiaRT #recognition #sketching

Sketched Symbol Recognition with a Latent-Dynamic Conditional Model (VD, MR, GT), pp. 1100–1103.

ICPR-2010-ErgulA #classification #topic #using

Scene Classification Using Spatial Pyramid of Latent Topics (EE, NA), pp. 3603–3606.

ICPR-2010-PuertasRFOE #comprehension #forensics #performance #recognition #towards

Towards a Better Understanding of the Performance of Latent Fingerprint Recognition in Realistic Forensic Conditions (MP, DR, JF, JOG, NE), pp. 1638–1641.

ICPR-2010-SuS #predict #process

Latent Fingerprint Core Point Prediction Based on Gaussian Processes (CS, SNS), pp. 1634–1637.

KDD-2010-DuBoisS #modelling #relational

Modeling relational events via latent classes (CD, PS), pp. 803–812.

KDD-2010-WangLZ #analysis #approach #bibliography #rating

Latent aspect rating analysis on review text data: a rating regression approach (HW, YL, CZ), pp. 783–792.

SIGIR-2010-GuoS #probability

Probabilistic latent maximal marginal relevance (SG, SS), pp. 833–834.

MoDELS-v1-2010-GoldsbyC #automation #behaviour #modelling #uml

Automatically Discovering Properties That Specify the Latent Behavior of UML Models (HG, BHCC), pp. 316–330.

SAC-2010-NetoGBPM #automation #documentation #fault #image #semantics

An automatic linking service of document images reducing the effects of OCR errors with latent semantics (RBN, JACG, AB, JP, AAM), pp. 13–17.

FSE-2010-KillianNPBAJ #debugging #implementation #performance

Finding latent performance bugs in systems implementations (CEK, KN, SP, RB, JWA, RJ), pp. 17–26.

ICSM-2009-LiuPFGC #modelling #topic

Modeling class cohesion as mixtures of latent topics (YL, DP, RF, TG, NC), pp. 233–242.

MSR-2009-TianRP #automation #categorisation #using

Using Latent Dirichlet Allocation for automatic categorization of software (KT, MR, DP), pp. 163–166.

HIMI-II-2009-SawaragiIHN #approach #identification #using

Identifying Latent Similarities among Near-Miss Incident Records Using a Text-Mining Method and a Scenario-Based Approach (TS, KI, YH, HN), pp. 594–603.

CIKM-2009-GuoZGZS #categorisation #multi #semantics

Product feature categorization with multilevel latent semantic association (HG, HZ, ZG, XZ, ZS), pp. 1087–1096.

CIKM-2009-LiuZY #analysis #collaboration #probability

Probabilistic latent preference analysis for collaborative filtering (NNL, MZ, QY), pp. 759–766.

CIKM-2009-ParkR #analysis #information retrieval #kernel #semantics #using

Kernel latent semantic analysis using an information retrieval based kernel (LAFP, KR), pp. 1721–1724.

CIKM-2009-WangTFCYL #ranking

Heterogeneous cross domain ranking in latent space (BW, JT, WF, SC, ZY, YL), pp. 987–996.

CIKM-2009-YoonSKP #community

Extraction of a latent blog community based on subject (SHY, JHS, SWK, SP), pp. 1529–1532.

ECIR-2009-BolelliEG #detection #topic #using

Topic and Trend Detection in Text Collections Using Latent Dirichlet Allocation (LB, SE, CLG), pp. 776–780.

ICML-2009-YuJ #learning

Learning structural SVMs with latent variables (CNJY, TJ), pp. 1169–1176.

KDD-2009-AgarwalC #modelling

Regression-based latent factor models (DA, BCC), pp. 19–28.

KDD-2009-GuoZGZS #semantics #standard

Address standardization with latent semantic association (HG, HZ, ZG, XZ, ZS), pp. 1155–1164.

KDD-2009-TangL #learning #relational #social

Relational learning via latent social dimensions (LT, HL), pp. 817–826.

KDD-2009-WangCP #aspect-oriented #mining #query

Mining broad latent query aspects from search sessions (XW, DC, KP), pp. 867–876.

KDD-2009-XuYL #mining #using

Named entity mining from click-through data using weakly supervised latent dirichlet allocation (GX, SHY, HL), pp. 1365–1374.

RecSys-2009-KrestelFN #recommendation

Latent dirichlet allocation for tag recommendation (RK, PF, WN), pp. 61–68.

SIGIR-2009-BrunoM #approach #clustering #modelling #multi #using

Multiview clustering: a late fusion approach using latent models (EB, SMM), pp. 736–737.

SIGIR-2009-GuoZCZG #documentation #topic

A latent topic model for linked documents (ZG, SZ, YC, ZZ, YG), pp. 720–721.

SIGIR-2009-Peng #analysis #equivalence #probability #semantics

Equivalence between nonnegative tensor factorization and tensorial probabilistic latent semantic analysis (WP), pp. 668–669.

SAC-2009-HendersonE #graph #scalability

Applying latent dirichlet allocation to group discovery in large graphs (KH, TER), pp. 1456–1461.

ASE-2008-JiangNCJC #automation #evolution #incremental #semantics #traceability

Incremental Latent Semantic Indexing for Automatic Traceability Link Evolution Management (HJ, TNN, IXC, HJ, CKC), pp. 59–68.

CSMR-2008-SpekKL #architecture #concept #semantics #towards #using

Towards Recovering Architectural Concepts Using Latent Semantic Indexing (PvdS, SK, PvdL), pp. 253–257.

WCRE-2008-LukinsKE #debugging #locality #retrieval #source code #using

Source Code Retrieval for Bug Localization Using Latent Dirichlet Allocation (SKL, NAK, LHE), pp. 155–164.

CHI-2008-KatsanosTA #analysis #architecture #design #named #semantics #using #web

AutoCardSorter: designing the information architecture of a web site using latent semantic analysis (CK, NKT, NMA), pp. 875–878.

CHI-2008-MiaskiewiczSK #analysis #identification #semantics

A latent semantic analysis methodology for the identification and creation of personas (TM, TS, KAK), pp. 1501–1510.

CIKM-2008-Bradford #empirical #scalability #semantics

An empirical study of required dimensionality for large-scale latent semantic indexing applications (RBB), pp. 153–162.

CIKM-2008-HuangS #markov #query #using

A latent variable model for query expansion using the hidden markov model (QH, DS), pp. 1417–1418.

CIKM-2008-MaYKL #learning #query #semantics

Learning latent semantic relations from clickthrough data for query suggestion (HM, HY, IK, MRL), pp. 709–718.

ICML-2008-UrtasunFGPDL #modelling

Topologically-constrained latent variable models (RU, DJF, AG, JP, TD, NDL), pp. 1080–1087.

ICPR-2008-GaoCY #modelling #process

Manifold denoising with Gaussian Process Latent Variable Models (YG, KLC, WYY), pp. 1–4.

KDD-2008-IwataYU #documentation #probability #semantics #topic #visualisation

Probabilistic latent semantic visualization: topic model for visualizing documents (TI, TY, NU), pp. 363–371.

KDD-2008-NallapatiAXC #modelling #topic

Joint latent topic models for text and citations (RN, AA, EPX, WWC), pp. 542–550.

KDD-2008-PorteousNIASW #performance

Fast collapsed gibbs sampling for latent dirichlet allocation (IP, DN, ATI, AUA, PS, MW), pp. 569–577.

RecSys-2008-WuWC #analysis #automation #incremental #probability #recommendation #semantics

Incremental probabilistic latent semantic analysis for automatic question recommendation (HW, YW, XC), pp. 99–106.

SIGIR-2008-QuanCLX #adaptation #scalability #semantics

Adaptive label-driven scaling for latent semantic indexing (XQ, EC, QL, HX), pp. 827–828.

OOPSLA-2008-BaldiLLB #aspect-oriented #formal method #topic

A theory of aspects as latent topics (PB, CVL, EL, SKB), pp. 543–562.

SAC-2008-Papadopoulos #analysis #retrieval #semantics

Trajectory retrieval with latent semantic analysis (ANP), pp. 1089–1094.

FSE-2008-BirdPDFD #open source #social

Latent social structure in open source projects (CB, DSP, RMD, VF, PTD), pp. 24–35.

ICSE-2008-LuciaOT #semantics #traceability

Adams re-trace: traceability link recovery via latent semantic indexing (ADL, RO, GT), pp. 839–842.

DAC-2007-SingheeR #performance #statistics

Beyond Low-Order Statistical Response Surfaces: Latent Variable Regression for Efficient, Highly Nonlinear Fitting (AS, RAR), pp. 256–261.

ICDAR-2007-BanerjeeHC #concept #database #documentation #image #query #semantics #word

Word image based latent semantic indexing for conceptual querying in document image databases (SB, GH, SC), pp. 1208–1212.

CIKM-2007-PhamMLC #image #retrieval #semantics

Latent semantic fusion model for image retrieval and annotation (TTP, NM, JHL, JPC), pp. 439–444.

ICML-2007-LawrenceM #modelling #process

Hierarchical Gaussian process latent variable models (NDL, AJM), pp. 481–488.

ICML-2007-UrtasunD #classification #process

Discriminative Gaussian process latent variable model for classification (RU, TD), pp. 927–934.

KDD-2007-AgarwalM #modelling #predict #scalability

Predictive discrete latent factor models for large scale dyadic data (DA, SM), pp. 26–35.

KDD-2007-Anderson

Calculating latent demand in the long tail (CA), p. 1.

KDD-2007-ChopraTLCL #parametricity

Discovering the hidden structure of house prices with a non-parametric latent manifold model (SC, TT, JL, AC, YL), pp. 173–182.

SIGIR-2007-Efron #semantics

Model-averaged latent semantic indexing (ME), pp. 755–756.

SIGIR-2007-MetzlerC #concept #markov #random #using

Latent concept expansion using markov random fields (DM, WBC), pp. 311–318.

ICPC-2006-PoshyvanykMRGA #identification #probability #ranking #semantics

Combining Probabilistic Ranking and Latent Semantic Indexing for Feature Identification (DP, AM, VR, YGG, GA), pp. 137–148.

ECIR-2006-ChakrabortiLWW #named #semantics

Sprinkling: Supervised Latent Semantic Indexing (SC, RL, NW, SNKW), pp. 510–514.

ICML-2006-GorurJR #infinity

A choice model with infinitely many latent features (DG, FJ, CER), pp. 361–368.

ICPR-v1-2006-MillerW #analysis #semantics #word

Word Completion with Latent Semantic Analysis (TM, EW), pp. 1252–1255.

ICPR-v2-2006-LiuCC #analysis #image #layout

Latent Layout Analysis for Discovering Objects in Images (DL, DC, TC), pp. 468–471.

SIGIR-2006-WangSCZ #analysis #multi #semantics

Latent semantic analysis for multiple-type interrelated data objects (XW, JTS, ZC, CZ), pp. 236–243.

SIGIR-2006-YanH #analysis #multi #probability #query #retrieval

Probabilistic latent query analysis for combining multiple retrieval sources (RY, AGH), pp. 324–331.

OOPSLA-2006-KitMB #analysis #requirements #semantics #using

Isolating and relating concerns in requirements using latent semantic analysis (LKK, CKM, ELAB), pp. 383–396.

CIKM-2005-WangNZ #classification #semantics

A latent semantic classification model (MWW, JYN, XQZ), pp. 261–262.

ICML-2005-SilvaS #identification #learning #modelling

New d-separation identification results for learning continuous latent variable models (RBdAeS, RS), pp. 808–815.

KDD-2005-DasguptaKRT #semantics

Variable latent semantic indexing (AD, RK, PR, AT), pp. 13–21.

KDD-2005-KawamaeT #collaboration #information retrieval #semantics

Information retrieval based on collaborative filtering with latent interest semantic map (NK, KT), pp. 618–623.

KDD-2005-Momma #kernel #performance #scalability

Efficient computations via scalable sparse kernel partial least squares and boosted latent features (MM), pp. 654–659.

SIGIR-2005-Krishnan #modelling

Short comings of latent models in supervised settings (VK), pp. 625–626.

SIGIR-2005-YuYT #multi #semantics

Multi-label informed latent semantic indexing (KY, SY, VT), pp. 258–265.

KDD-2004-AiroldiF #network

Recovering latent time-series from their observed sums: network tomography with particle filters (EA, CF), pp. 30–39.

KDD-2004-JinZM #analysis #mining #probability #semantics #web

Web usage mining based on probabilistic latent semantic analysis (XJ, YZ, BM), pp. 197–205.

SIGIR-2004-KokiopoulouS #information retrieval #polynomial #semantics

Polynomial filtering in latent semantic indexing for information retrieval (EK, YS), pp. 104–111.

SIGIR-2004-TangDX #on the #peer-to-peer #scalability #semantics

On scaling latent semantic indexing for large peer-to-peer systems (CT, SD, ZX), pp. 112–121.

ICSE-2004-BrunE #fault #machine learning

Finding Latent Code Errors via Machine Learning over Program Executions (YB, MDE), pp. 480–490.

ICML-2003-Mamitsuka #analysis

Hierarchical Latent Knowledge Analysis for Co-occurrence Data (HM), pp. 504–511.

ICML-2003-WangSPZ #learning #modelling #principle

Learning Mixture Models with the Latent Maximum Entropy Principle (SW, DS, FP, YZ), pp. 784–791.

SIGIR-2003-Dupret #analysis #concept #orthogonal #semantics

Latent concepts and the number orthogonal factors in latent semantic analysis (GD), pp. 221–226.

SIGIR-2003-Hofmann #analysis #collaboration #probability #semantics

Collaborative filtering via gaussian probabilistic latent semantic analysis (TH), pp. 259–266.

SAC-2003-Gee #semantics #using

Using Latent Semantic Indexing to Filter Spam (KRG), pp. 460–464.

ICSE-2003-MarcusM #semantics #traceability #using

Recovering Documentation-to-Source-Code Traceability Links using Latent Semantic Indexing (AM, JIM), pp. 125–137.

HT-2002-MacedoPC #framework #semantics

An infrastructure for open latent semantic linking (AAM, MdGCP, JACG), pp. 107–116.

CIKM-2002-BrantsCT #analysis #documentation #probability #segmentation #semantics #topic

Topic-based document segmentation with probabilistic latent semantic analysis (TB, FC, IT), pp. 211–218.

ICPR-v4-2002-Heisterkamp #database #feedback #image #semantics

Building a Latent Semantic Index of an Image Database from Patterns of Relevance Feedback (DRH), pp. 134–137.

DocEng-2001-MacedoPG #repository #semantics

Latent semantic linking over homogeneous repositories (AAM, MdGCP, JACG), pp. 144–151.

ICML-2001-CristianiniSL #kernel #semantics

Latent Semantic Kernels (NC, JST, HL), pp. 66–73.

SIGIR-2001-GongL #analysis #semantics #summary #using

Generic Text Summarization Using Relevance Measure and Latent Semantic Analysis (YG, XL), pp. 19–25.

SIGIR-2001-Hoenkamp #performance #semantics

Unitary Operators for Fast Latent Semantic Indexing (FLSI) (EH), pp. 400–401.

ICML-2000-WesterdijkW #classification #modelling #multi #using

Classification with Multiple Latent Variable Models using Maximum Entropy Discrimination (MW, WW), pp. 1143–1150.

SIGIR-2000-Ando #metric #precise #scalability #semantics #similarity

Latent semantic-space: iterative scaling improves precision of inter-document similarity measurement (RKA), pp. 216–223.

SIGIR-2000-BaekLR #query #semantics

Latent semantic indexing model for boolean query formulation (DHB, HSL, HCR), pp. 310–312.

ASE-1999-MaleticV #analysis #automation #clustering #semantics

Automatic Software Clustering via Latent Semantic Analysis (JIM, NV), pp. 251–254.

CHI-1999-Soto #analysis #learning #quality #semantics

Learning and Performing by Exploration: Label Quality Measured by Latent Semantic Analysis (RS), pp. 418–425.

HCI-EI-1999-KinoeM #idea

Discovering Latent Relationships among Ideas: A Methodology for Facilitating New Idea Creation (YK, HM), pp. 1242–1246.

SIGIR-1999-Ding #probability #semantics #similarity

A Similarity-based Probability Model for Latent Semantic Indexing (CHQD), pp. 58–65.

SIGIR-1999-Hofmann #probability #semantics

Probabilistic Latent Semantic Indexing (TH), pp. 50–57.

HT-1998-ChenC #approach #hypermedia #semantics

From Latent Semantics to Spatial Hypertext — An Integrated Approach (CC, MC), pp. 77–86.

PODS-1998-PapadimitriouRTV #analysis #probability #semantics

Latent Semantic Indexing: A Probabilistic Analysis (CHP, PR, HT, SV), pp. 159–168.

CIKM-1996-SyuLD #information retrieval #network #semantics

Incorporating Latent Semantic Indexing into a Neural Network Model for Information Retrieval (IS, SDL, ND), pp. 145–153.

SIGIR-1994-Hull #problem #retrieval #semantics #using

Improving Text Retrieval for the Routing Problem using Latent Semantic Indexing (DAH), pp. 282–291.

SIGIR-1992-BartellCB #multi #scalability #semantics

Latent Semantic Indexing is an Optimal Special Case of Multidimensional Scaling (BTB, GWC, RKB), pp. 161–167.

SIGIR-1988-FurnasDDLHSL #composition #information retrieval #semantics #using

Information Retrieval using a Singular Value Decomposition Model of Latent Semantic Structure (GWF, SCD, STD, TKL, RAH, LAS, KEL), pp. 465–480.