Stem hidden$ (all stems)

262 papers:

CASE-2015-ParisACAR #behaviour #learning #markov #smarttech #using

Using Hidden Semi-Markov Model for learning behavior in smarthomes (AP, SA, NC, AEA, NR), pp. 752–757.

SCAM-J-2013-CeruloPBCC15 #detection #markov #named

Irish: A Hidden Markov Model to detect coded information islands in free text (LC, MDP, AB, MC, GC), pp. 26–43.

DUXU-IXD-2015-SuzukiCTO

Hidden Presence: Sensing Occupancy and Extracting Value from Occupancy Data (LS, PC, TT, GCO), pp. 412–424.

ICML-2015-GeigerZSGJ #component #identification #process

Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components (PG, KZ, BS, MG, DJ), pp. 1917–1925.

ICML-2015-GornitzBK #detection #markov

Hidden Markov Anomaly Detection (NG, MLB, MK), pp. 1833–1842.

RecSys-2015-AghdamHMB #adaptation #markov #modelling #recommendation #using

Adapting Recommendations to Contextual Changes Using Hierarchical Hidden Markov Models (MHA, NH, BM, RDB), pp. 241–244.

SEKE-2015-XuLZ #bibliography #visualisation

To Enlighten Hidden Facts in The Code: A Review of Software Visualization Metaphors (YX, YL, JZ), pp. 294–297.

ESEC-FSE-2015-CaiC #detection #effectiveness #java #precise #source code

Effective and precise dynamic detection of hidden races for Java programs (YC, LC), pp. 450–461.

ESEC-FSE-2015-EichbergHMG

Hidden truths in dead software paths (ME, BH, MM, LG), pp. 474–484.

ICSE-v1-2015-GuiMNH #developer #mobile

Truth in Advertising: The Hidden Cost of Mobile Ads for Software Developers (JG, SM, MN, WGJH), pp. 100–110.

LICS-2015-McIverMR #data flow #markov #modelling #monad

Abstract Hidden Markov Models: A Monadic Account of Quantitative Information Flow (AM, CM, TMR), pp. 597–608.

VLDB-2014-LiuST0DJ #database #monitoring #named #web

HDBTracker: Monitoring the Aggregates On Dynamic Hidden Web Databases (WL, SBS, ST, NZ, GD, AJ), pp. 1569–1572.

VLDB-2014-LiuT0D #database #estimation #web

Aggregate Estimation Over Dynamic Hidden Web Databases (WL, ST, NZ, GD), pp. 1107–1118.

CHI-2014-GeymayerSLSS #visualisation

Show me the invisible: visualizing hidden content (TG, MS, AL, MS, DS), pp. 3705–3714.

CHI-2014-WoodVB0SCMLCACW #library

The dept. of hidden stories: playful digital storytelling for children in a public library (GW, JV, MB, NT, TS, CC, JM, HL, JC, LA, AC, PCW), pp. 1885–1894.

CSCW-2014-YueHH #collaboration #modelling #process #using #web

Modeling search processes using hidden states in collaborative exploratory web search (ZY, SH, DH), pp. 820–830.

HCI-AIMT-2014-RoyC #artificial reality #detection #invariant #markov #using

View-Invariant Human Detection from RGB-D Data of Kinect Using Continuous Hidden Markov Model (SR, TC), pp. 325–336.

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.

ICML-c1-2014-ZhangZZ #infinity #markov #modelling

Max-Margin Infinite Hidden Markov Models (AZ, JZ, BZ), pp. 315–323.

ICML-c2-2014-McGibbonRSKP #comprehension #markov #modelling

Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models (RM, BR, MS, GK, VSP), pp. 1197–1205.

ICML-c2-2014-PingLI

Marginal Structured SVM with Hidden Variables (WP, QL, ATI), pp. 190–198.

ICML-c2-2014-TrigeorgisBZS #learning

A Deep Semi-NMF Model for Learning Hidden Representations (GT, KB, SZ, BWS), pp. 1692–1700.

ICPR-2014-WangGJ #learning #using

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

ICPR-2014-WangWJ #learning

Learning with Hidden Information (ZW, XW, QJ), pp. 238–243.

ICPR-2014-WangWJ14a #markov #modelling #recognition #using

Early Facial Expression Recognition Using Hidden Markov Models (JW, SW, QJ), pp. 4594–4599.

ICPR-2014-ZhaoSJ #classification #markov

Coupled Hidden Markov Model for Electrocorticographic Signal Classification (RZ, GS, QJ), pp. 1858–1862.

MLDM-2014-JiangDPL #approach #estimation #markov #optimisation #recognition

Modified Bootstrap Approach with State Number Optimization for Hidden Markov Model Estimation in Small-Size Printed Arabic Text Line Recognition (ZJ, XD, LP, CL), pp. 437–441.

RE-2014-RiazKSW #automation #identification #natural language #requirements #security

Hidden in plain sight: Automatically identifying security requirements from natural language artifacts (MR, JTK, JS, LAW), pp. 183–192.

DRR-2013-TaghvaPM #higher-order #markov #modelling

Post processing with first- and second-order hidden Markov models (KT, SP, SM).

ICDAR-2013-ElzobiADES #adaptation #approach #markov #modelling #recognition

A Hidden Markov Model-Based Approach with an Adaptive Threshold Model for Off-Line Arabic Handwriting Recognition (ME, AAH, LD, ME, AS), pp. 945–949.

CSMR-2013-ForsterKKB #component #dependence

Recovering Component Dependencies Hidden by Frameworks-Experiences from Analyzing OSGi and Qt (TF, TK, JK, MCB), pp. 295–304.

SCAM-2013-CeruloCPC #detection #markov

A Hidden Markov Model to detect coded information islands in free text (LC, MC, MDP, GC), pp. 157–166.

CHI-2013-LugerMR #complexity

Consent for all: revealing the hidden complexity of terms and conditions (EL, SM, TR), pp. 2687–2696.

ICML-c1-2013-KrauseFGI #approximate

Approximation properties of DBNs with binary hidden units and real-valued visible units (OK, AF, TG, CI), pp. 419–426.

ICML-c2-2013-MeentBWGW #learning #markov #modelling

Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data (JWvdM, JEB, FW, RLG, CW), pp. 361–369.

ICML-c3-2013-HuangS #learning #markov #modelling

Spectral Learning of Hidden Markov Models from Dynamic and Static Data (TKH, JGS), pp. 630–638.

MLDM-2013-SouzaP #random #recognition #word

Sign Language Recognition with Support Vector Machines and Hidden Conditional Random Fields: Going from Fingerspelling to Natural Articulated Words (CRdS, EBP), pp. 84–98.

RecSys-2013-AlanaziB #markov #modelling #recommendation #using

A people-to-people content-based reciprocal recommender using hidden markov models (AA, MB), pp. 303–306.

RecSys-2013-McAuleyL #bibliography #comprehension #rating #topic

Hidden factors and hidden topics: understanding rating dimensions with review text (JJM, JL), pp. 165–172.

RE-2013-Beatty #requirements

Winning the hidden battle: Requirements tool selection and adoption (JB), pp. 364–365.

VLDB-2012-ShengZTJ #algorithm #crawling #database #web

Optimal Algorithms for Crawling a Hidden Database in the Web (CS, NZ, YT, XJ), pp. 1112–1123.

ICPC-2012-SilvaSCG #metric

Concern-based cohesion: Unveiling a hidden dimension of cohesion measurement (BCdS, CS, CC, AG), pp. 103–112.

STOC-2012-AaronsonC #quantum

Quantum money from hidden subspaces (SA, PC), pp. 41–60.

CIKM-2012-BhuiyanMH #interactive #mining

Interactive pattern mining on hidden data: a sampling-based solution (MB, SM, MAH), pp. 95–104.

ICML-2012-FujimakiH #markov #modelling

Factorized Asymptotic Bayesian Hidden Markov Models (RF, KH), p. 157.

ICML-2012-MysoreS #markov #modelling #performance

Variational Inference in Non-negative Factorial Hidden Markov Models for Efficient Audio Source Separation (GJM, MS), p. 194.

ICPR-2012-RaymondMOH #markov #network

Map matching with Hidden Markov Model on sampled road network (RR, TM, TO, NH), pp. 2242–2245.

ICPR-2012-WangJ12a #approach #novel #probability #recognition

A novel probabilistic approach utilizing clip attribute as hidden knowledge for event recognition (XW, QJ), pp. 3382–3385.

KDIR-2012-SantosGSK #behaviour #detection #finite

Finite Belief Fusion Model for Hidden Source Behavior Change Detection (ESJ, QG, EES, JK), pp. 17–24.

SIGIR-2012-LiDZ #markov #query

A generalized hidden Markov model with discriminative training for query spelling correction (YL, HD, CZ), pp. 611–620.

SAC-2012-LeeLKKKS #implementation

An implementation study of a ghost drive: hidden file store in a filesystem (EL, JL, HK, KK, SRK, SYS), pp. 1796–1798.

SAC-2012-SchluterC #correlation #detection #markov #modelling #predict #using

Hidden markov model-based time series prediction using motifs for detecting inter-time-serial correlations (TS, SC), pp. 158–164.

SAC-2012-TrabelsiMY #folksonomy #markov #modelling #named #recommendation

HMM-CARe: Hidden Markov Models for context-aware tag recommendation in folksonomies (CT, BM, SBY), pp. 957–961.

ICDAR-2011-CaoPN11a #identification #markov #modelling #recognition #using

Handwritten and Typewritten Text Identification and Recognition Using Hidden Markov Models (HC, RP, PN), pp. 744–748.

ICDAR-2011-JiangDLW #algorithm #markov #novel #segmentation #string #using

A Novel Short Merged Off-line Handwritten Chinese Character String Segmentation Algorithm Using Hidden Markov Model (ZJ, XD, CL, YW), pp. 668–672.

ICDAR-2011-VinelDA #feature model #linear #optimisation #random

Joint Optimization of Hidden Conditional Random Fields and Non Linear Feature Extraction (AV, TMTD, TA), pp. 513–517.

SIGMOD-2011-JinMZD #database #interface #named #web

MOBIES: mobile-interface enhancement service for hidden web database (XJ, AM, NZ, GD), pp. 1263–1266.

SIGMOD-2011-JinZD #database #web

Attribute domain discovery for hidden web databases (XJ, NZ, GD), pp. 553–564.

VLDB-2011-Jin0MD #database #random #web

Randomized Generalization for Aggregate Suppression Over Hidden Web Databases (XJ, NZ, AM, GD), pp. 1099–1110.

FoSSaCS-2011-SchwinghammerBS #metric #recursion

A Step-Indexed Kripke Model of Hidden State via Recursive Properties on Recursively Defined Metric Spaces (JS, LB, KS), pp. 305–319.

HCI-ITE-2011-FahnC #gesture #interactive #recognition

Hidden-Markov-Model-Based Hand Gesture Recognition Techniques Used for a Human-Robot Interaction System (CSF, KYC), pp. 248–258.

CIKM-2011-ZhouH #framework #markov #novel

A novel framework of training hidden markov support vector machines from lightly-annotated data (DZ, YH), pp. 2025–2028.

KDD-2011-DalviKMR #nearest neighbour #using

Sampling hidden objects using nearest-neighbor oracles (NND, RK, AM, VR), pp. 1325–1333.

KDIR-2011-AlvarezCLP #web

The Spanish Web in Numbers — Main Features of the Spanish Hidden Web (MÁ, FC, RLG, VMP), pp. 371–374.

RecSys-2011-Makrehchi #learning #recommendation #social #topic

Social link recommendation by learning hidden topics (MM), pp. 189–196.

SAC-2011-HuangH #detection #markov #multi #semantics

Semantic event detection in baseball videos based on a multi-output hidden Markov model (YFH, JJH), pp. 929–936.

SAC-2011-VenkateshGBC #fixpoint #implementation #markov #modelling #recognition #speech #using

Fixed-point implementation of isolated sub-word level speech recognition using hidden Markov models (NV, RG, RB, MGC), pp. 368–373.

SAC-2011-WangXYC #markov #web

Tagging web product titles based on hidden Markov model (PW, BX, YY, LC), pp. 43–48.

ICSE-2011-KwanD #communication

The hidden experts in software-engineering communication (IK, DD), pp. 800–803.

ASPLOS-2011-GaoZCZQ #concurrent #debugging #named #towards #type system

2ndStrike: toward manifesting hidden concurrency typestate bugs (QG, WZ, ZC, MZ, FQ), pp. 239–250.

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.

CASE-2010-Tobon-MejiaMZT #markov

A mixture of Gaussians Hidden Markov Model for failure diagnostic and prognostic (DATM, KM, NZ, GT), pp. 338–343.

SIGMOD-2010-DasguptaJJZD #database #estimation #web

Unbiased estimation of size and other aggregates over hidden web databases (AD, XJ, BJ, NZ, GD), pp. 855–866.

SIGMOD-2010-TaoSL #graph

Finding maximum degrees in hidden bipartite graphs (YT, CS, JL), pp. 891–902.

FoSSaCS-2010-SchwinghammerYBPR #semantics

A Semantic Foundation for Hidden State (JS, HY, LB, FP, BR), pp. 2–17.

ICSM-2010-VanciuR #dependence

Hidden dependencies in software systems (RV, VR), pp. 1–10.

CHI-2010-SeukenJTC #design #user interface

Hidden markets: UI design for a P2P backup application (SS, KJ, DST, MC), pp. 315–324.

ICEIS-AIDSS-2010-SilvaCRN #assessment #fault #identification #network

Assessment of the Change in the Number of Neurons in Hidden Layers of Neural Networks for Fault Identification in Electrical Systems (DTdS, PHGC, JAPR, LBN), pp. 309–313.

ECIR-2010-HarveyBRC #modelling #personalisation #topic

Tripartite Hidden Topic Models for Personalised Tag Suggestion (MH, MB, IR, MJC), pp. 432–443.

ICML-2010-SongSGS #markov #modelling

Hilbert Space Embeddings of Hidden Markov Models (LS, BB, SMS, GJG, AJS), pp. 991–998.

ICPR-2010-LiuLLLS #detection #markov #modelling #process

Noise-Robust Voice Activity Detector Based on Hidden Semi-Markov Models (XL, YL, YL, HL, BS), pp. 81–84.

ICPR-2010-LuWD #detection #random

Part Detection, Description and Selection Based on Hidden Conditional Random Fields (WL, SW, XD), pp. 657–660.

ICPR-2010-ParkKS #detection #markov #modelling #recognition #using #visual notation

Visual Recognition of Types of Structural Corridor Landmarks Using Vanishing Points Detection and Hidden Markov Models (YP, SSK, IHS), pp. 3292–3295.

KR-2010-GrauM #ontology #reasoning

Pushing the Limits of Reasoning over Ontologies with Hidden Content (BCG, BM).

SIGIR-2010-Wang #learning #modelling #retrieval

Learning hidden variable models for blog retrieval (MW), p. 922.

SAC-2010-MenorBBGP #classification #markov #taxonomy #using

Virus DNA-fragment classification using taxonomic hidden Markov model profiles (MM, KB, MB, YG, GP), pp. 1567–1571.

ICLP-J-2010-ChristiansenHLP #markov #modelling

Inference with constrained hidden Markov models in PRISM (HC, CTH, OTL, MP), pp. 449–464.

CASE-2009-SinghKP #fault #markov #multi

A factorial hidden markov model (FHMM)-based reasoner for diagnosing multiple intermittent faults (SS, AK, KRP), pp. 146–151.

DATE-2009-CabodiCGMNQ #constraints #model checking #verification

Speeding up model checking by exploiting explicit and hidden verification constraints (GC, PC, LG, MM, SN, SQ), pp. 1686–1691.

ICDAR-2009-AhmadVK #markov #recognition #using #word

Lexicon-Based Word Recognition Using Support Vector Machine and Hidden Markov Model (ARA, CVG, MK), pp. 161–165.

ICDAR-2009-MaHS #case study #design #markov #modelling #online #recognition

A Study of Feature Design for Online Handwritten Chinese Character Recognition Based on Continuous-Density Hidden Markov Models (LM, QH, YS), pp. 526–530.

ICDAR-2009-Silva #analysis #documentation #learning #markov #modelling

Learning Rich Hidden Markov Models in Document Analysis: Table Location (ACeS), pp. 843–847.

SIGMOD-2009-DasguptaZDC #database #how #privacy #question #why

Privacy preservation of aggregates in hidden databases: why and how? (AD, NZ, GD, SC), pp. 153–164.

CIKM-2009-KhareA #empirical #interface #markov #segmentation #using

An empirical study on using hidden markov model for search interface segmentation (RK, YA), pp. 17–26.

ICML-2009-ChengSS #markov #matrix #modelling

Matrix updates for perceptron training of continuous density hidden Markov models (CCC, FS, LKS), pp. 153–160.

ICML-2009-DoA #markov #modelling #scalability

Large margin training for hidden Markov models with partially observed states (TMTD, TA), pp. 265–272.

MoDELS-2009-ChenouardJ #automation #constraints

Automatically Discovering Hidden Transformation Chaining Constraints (RC, FJ), pp. 92–106.

MoDELS-2009-ChenouardJ #automation #constraints

Automatically Discovering Hidden Transformation Chaining Constraints (RC, FJ), pp. 92–106.

CASE-2008-ZhuCS #markov #recognition #using

Human intention recognition in Smart Assisted Living Systems using a Hierarchical Hidden Markov Model (CZ, QC, WS), pp. 253–258.

DATE-2008-TanQ #framework #markov #power management #probability #using

A Framework of Stochastic Power Management Using Hidden Markov Model (YT, QQ), pp. 92–97.

CIKM-2008-CaiMHZ #documentation #modelling #topic

Modeling hidden topics on document manifold (DC, QM, JH, CZ), pp. 911–920.

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-VieiraBFS #interface #keyword

Siphon++: a hidden-webcrawler for keyword-based interfaces (KV, LB, JF, ASdS), pp. 1361–1362.

ICML-2008-GaelSTG #infinity #markov

Beam sampling for the infinite hidden Markov model (JVG, YS, YWT, ZG), pp. 1088–1095.

ICML-2008-Landwehr #modelling #process

Modeling interleaved hidden processes (NL), pp. 520–527.

ICPR-2008-Bouchaffra #markov #modelling

Embedding HMM’s-based models in a Euclidean space: The topological hidden Markov models (DB), pp. 1–4.

ICPR-2008-ElmezainAAM #gesture #markov #modelling #recognition

A Hidden Markov Model-based continuous gesture recognition system for hand motion trajectory (ME, AAH, JA, BM), pp. 1–4.

ICPR-2008-PrasadSKMN #markov #modelling

Improvements in hidden Markov model based Arabic OCR (RP, SS, MK, RM, PN), pp. 1–4.

ICPR-2008-WangI #classification #image #markov #modelling #multi #semantics

Combining multiple spatial hidden Markov models in image semantic classification and annotation (LW, HHSI), pp. 1–4.

ICPR-2008-ZhuangZHH #estimation #markov #using

Face age estimation using patch-based hidden Markov model supervectors (XZ, XZ, MHJ, TSH), pp. 1–4.

KDD-2008-FujiwaraSY #identification #markov #modelling #named #performance

SPIRAL: efficient and exact model identification for hidden Markov models (YF, YS, MY), pp. 247–255.

HPCA-2008-ZhongMLM #parallel

Uncovering hidden loop level parallelism in sequential applications (HZ, MM, SAL, SAM), pp. 290–301.

DocEng-2007-ZouLT #analysis #approach #html #markov

Structure and content analysis for html medical articles: a hidden markov model approach (JZ, DXL, GRT), pp. 199–201.

HT-2007-BrownBFE #behaviour

Revealing the hidden rationality of user browsing behaviour (EJB, TJB, TF, CvdE), pp. 85–94.

ICDAR-2007-BharathM #markov #modelling #online #recognition #word

Hidden Markov Models for Online Handwritten Tamil Word Recognition (AB, SM), pp. 506–510.

ICDAR-2007-LuthyVB #markov #modelling #segmentation #using

Using Hidden Markov Models as a Tool for Handwritten Text Line Segmentation (FL, TV, HB), p. 8–?.

ICDAR-2007-SilvaN #classification #markov #modelling #performance #visualisation

A Visualization Tool to Improve the Performance of a Classifier Based on Hidden Markov Models (GdS, MN), pp. 1083–1087.

ICDAR-2007-ToujAA07a #approach #hybrid #markov #modelling #recognition

A hybrid approach for off-line Arabic handwriting recognition based on a Planar Hidden Markov modeling (SMT, NEBA, HA), pp. 964–968.

SIGMOD-2007-AnciauxBBPS #named #query

GhostDB: querying visible and hidden data without leaks (NA, MB, LB, PP, DS), pp. 677–688.

SIGMOD-2007-DasguptaDM #approach #database #random

A random walk approach to sampling hidden databases (AD, GD, HM), pp. 629–640.

OCSC-2007-ViegasWM #order #wiki

The Hidden Order of Wikipedia (FBV, MW, MMM), pp. 445–454.

CIKM-2007-ZhouHZS #markov

A segment-based hidden markov model for real-setting pinyin-to-chinese conversion (XZ, XH, XZ, XS), pp. 1027–1030.

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.

MLDM-2007-AriuGP #markov #modelling #network

Sensing Attacks in Computers Networks with Hidden Markov Models (DA, GG, RP), pp. 449–463.

SAC-2007-JinLSB #automation #categorisation #naive bayes #web

Automatic web pages categorization with ReliefF and Hidden Naive Bayes (XJ, RL, XS, RB), pp. 617–621.

ICML-2006-HolmesJ

Looping suffix tree-based inference of partially observable hidden state (MPH, CLIJ), pp. 409–416.

ICML-2006-HutchinsonMR #modelling #process

Hidden process models (RAH, TMM, IR), pp. 433–440.

ICPR-v1-2006-AndradeBF06a #analysis #markov #modelling

Hidden Markov Models for Optical Flow Analysis in Crowds (ELA, SB, RBF), pp. 460–463.

ICPR-v1-2006-XieL #animation #markov #modelling #speech #using

Speech Animation Using Coupled Hidden Markov Models (LX, ZQL), pp. 1128–1131.

ICPR-v3-2006-BouchaffraT #markov #recognition #using

Protein Fold Recognition using a Structural Hidden Markov Model (DB, JT), pp. 186–189.

ICPR-v3-2006-DuongPBV #behaviour #exponential #markov #modelling #product line #recognition

Human Behavior Recognition with Generic Exponential Family Duration Modeling in the Hidden Semi-Markov Model (TVD, DQP, HHB, SV), pp. 202–207.

ICPR-v3-2006-DupontJK #robust #segmentation #sequence #video

Robust Segmentation of Hidden Layers in Video Sequences (RD, OJ, RK), pp. 75–78.

ICPR-v3-2006-Witztum

The Hidden Birth Dates of Personalities of Genesis (DW), pp. 173–176.

ASPLOS-2006-CrandallWOSWC #detection #virtual machine

Temporal search: detecting hidden malware timebombs with virtual machines (JRC, GW, DASdO, ZS, SFW, FTC), pp. 25–36.

DATE-2005-FahmyCL #detection #hardware #markov

Hardware Acceleration of Hidden Markov Model Decoding for Person Detection (SAF, PYKC, WL), pp. 8–13.

DRR-2005-TaghvaCPN #markov #modelling #using

Address extraction using hidden Markov models (KT, JSC, RP, TAN), pp. 119–126.

ICDAR-2005-El-HajjLM #markov #modelling #recognition #using

Arabic Handwriting Recognition Using Baseline Dependant Features and Hidden Markov Modeling (REH, LLS, CM), pp. 893–897.

ICDAR-2005-FuDLJ #algorithm #markov #modelling #recognition #segmentation #string

A Hidden Markov Model Based Segmentation and Recognition Algorithm for Chinese Handwritten Address Character Strings (QF, XQD, CSL, YJ), pp. 590–594.

ICDAR-2005-NelPH #markov #modelling #multi #using

Estimating the Pen Trajectories of Multi-Path Static Scripts Using Hidden Markov Models (EMN, JAdP, BMH), pp. 41–47.

ICDAR-2005-NicolasKPH #documentation #markov #random #segmentation #using

Handwritten Document Segmentation Using Hidden Markov Random Fields (SN, YK, TP, LH), pp. 212–216.

ICDAR-2005-PervouchineLM

Three-stage Handwriting Stroke Extraction Method with Hidden Loop Recovery (VP, GL, KM), pp. 307–311.

ICDAR-2005-Szummer #diagrams #learning #random

Learning Diagram Parts with Hidden Random Fields (MS), pp. 1188–1193.

WRLA-2004-CiobanuL05 #communication #concurrent

Communicating Concurrent Objects in HiddenCCS (GC, DL), pp. 353–373.

STOC-2005-MosselR #learning #markov #modelling

Learning nonsingular phylogenies and hidden Markov models (EM, SR), pp. 366–375.

ICALP-2005-RadhakrishnanRS #fourier #on the #power of #problem #random

On the Power of Random Bases in Fourier Sampling: Hidden Subgroup Problem in the Heisenberg Group (JR, MR, PS), pp. 1399–1411.

CIKM-2005-JiangZ #markov #modelling #using

Accurately extracting coherent relevant passages using hidden Markov models (JJ, CZ), pp. 289–290.

ICML-2005-AndersonM #algorithm #learning #markov #modelling

Active learning for Hidden Markov Models: objective functions and algorithms (BA, AM), pp. 9–16.

KDD-2005-BesemannD #integration #markov #mining

Integration of profile hidden Markov model output into association rule mining (CB, AD), pp. 538–543.

KDD-2005-CareniniNZ #email #scalability

Scalable discovery of hidden emails from large folders (GC, RTN, XZ), pp. 544–549.

MLDM-2005-TaniguchiHO #correlation #database #difference #transaction

Discovery of Hidden Correlations in a Local Transaction Database Based on Differences of Correlations (TT, MH, YO), pp. 537–548.

SIGIR-2005-GhoshalIK #automation #image #markov #modelling #retrieval #video

Hidden Markov models for automatic annotation and content-based retrieval of images and video (AG, PI, SK), pp. 544–551.

SAC-2005-CareniniNZZ #email

Discovery and regeneration of hidden emails (GC, RTN, XZ, EZ), pp. 503–510.

SIGMOD-2004-ZhangHC #comprehension #interface #parsing #query #syntax #web

Understanding Web Query Interfaces: Best-Effort Parsing with Hidden Syntax (ZZ, BH, KCCC), pp. 107–118.

ICALP-2004-AlonA #learning

Learning a Hidden Subgraph (NA, VA), pp. 110–121.

ICML-2004-WierstraW #markov #modelling

Utile distinction hidden Markov models (DW, MW).

ICPR-v1-2004-CoskerMRH #animation #markov #speech #using

Speech Driven Facial Animation using a Hidden Markov Coarticulation Model (DC, ADM, PLR, YH), pp. 128–131.

ICPR-v1-2004-LeL #image #markov #modelling #using

Recognizing Frontal Face Images Using Hidden Markov Models with One Training Image per Person (HSL, HL), pp. 318–321.

ICPR-v1-2004-SunG #image #markov #random #segmentation

Bayesian Image Segmentation Based on an Inhomogeneous Hidden Markov Random Field (JS, DG), pp. 596–599.

ICPR-v1-2004-ZengL #fuzzy #markov #modelling #recognition

Type-2 Fuzzy Hidden Markov Models to Phoneme Recognition (JZ, ZQL), pp. 192–195.

ICPR-v2-2004-DupreA #markov #modelling #recognition

Hidden Markov Models for Couples of Letters Applied to Handwriting Recognition (XD, EA), pp. 618–621.

ICPR-v2-2004-GaoHBW #analysis #markov #process #using

Dining Activity Analysis Using a Hidden Markov Model (JG, AGH, AB, HDW), pp. 915–918.

ICPR-v2-2004-JingZLZZ #image #learning #retrieval

Learning in Hidden Annotation-Based Image Retrieval (FJ, BZ, ML, HZ, JZ), pp. 1001–1004.

ICPR-v3-2004-NovakLCMAHA #analysis #markov #modelling #using

Morphology Analysis of Physiological Signals Using Hidden Markov Models (DN, LL, DCF, PM, TAA, YH, MA), pp. 754–757.

SIGIR-2004-HedleyYJS #documentation #web

Query-related data extraction of hidden web documents (YLH, MY, AEJ, MS), pp. 558–559.

TOOLS-USA-2003-EnselmeFL04 #analysis #component #contract #dependence #design

Design by Contract: analysis of hidden dependencies in component based application (DE, GF, FLA), pp. 23–45.

VMCAI-2004-LucanuC #algebra #model checking #specification

Model Checking for Object Specifications in Hidden Algebra (DL, GC), pp. 97–109.

DATE-2003-DoboliGD #clustering #modelling #network #using

Extraction of Piecewise-Linear Analog Circuit Models from Trained Neural Networks Using Hidden Neuron Clustering (SD, GG, AD), pp. 11098–11099.

ICDAR-2003-ShafieiR #algorithm #markov #modelling #online #segmentation #using #verification

A New On-Line Signature Verification Algorithm Using Variable Length Segmentation and Hidden Markov Models (MMS, HRR), p. 443–?.

ICDAR-2003-YamazakiNK #markov #modelling #using #verification

Text-indicated Writer Verification Using Hidden Markov Models (YY, TN, NK), pp. 329–332.

FoSSaCS-2003-CardelliGG

Manipulating Trees with Hidden Labels (LC, PG, GG), pp. 216–232.

STOC-2003-FriedlIMSS #quantum

Hidden translation and orbit coset in quantum computing (KF, GI, FM, MS, PS), pp. 1–9.

ICEIS-v2-2003-BouchaffraT #industrial #markov

Structural Hidden Markov Model and Its Application in Automotive Industry (DB, JT), pp. 155–164.

CIKM-2003-AboulnagaN #statistics #web #xml

Building XML statistics for the hidden web (AA, JFN), pp. 358–365.

CIKM-2003-MelucciO #generative #markov #modelling #novel

A novel method for stemmer generation based on hidden markov models (MM, NO), pp. 131–138.

ICML-2003-AltunTH #markov

Hidden Markov Support Vector Machines (YA, IT, TH), pp. 3–10.

MLDM-2003-BicegoMF #clustering #markov #modelling #sequence #similarity #using

Similarity-Based Clustering of Sequences Using Hidden Markov Models (MB, VM, MATF), pp. 86–95.

RE-2003-Barnes #ambiguity #convergence #design #process #requirements #using

Using Convergent Design Processes to Surface Hidden Ambiguity and Conflict in Requirements (RJB), p. 281.

SAT-2003-MaarenN

Hidden Threshold Phenomena for Fixed-Density SAT-formulae (HvM, LvN), pp. 135–149.

VLDB-2002-IpeirotisG #database #distributed #web

Distributed Search over the Hidden Web: Hierarchical Database Sampling and Selection (PGI, LG), pp. 394–405.

ICML-2002-OliverG #markov #modelling #named

MMIHMM: Maximum Mutual Information Hidden Markov Models (NO, AG), pp. 466–473.

ICPR-v1-2002-ChengCO #image #markov

A Trainable Hierarchical Hidden Markov Tree Model for Color Image Annotation (LC, TC, VO), pp. 192–195.

ICPR-v2-2002-DavisLC #estimation #markov #multi #parametricity #sequence

Improved Estimation of Hidden Markov Model Parameters from Multiple Observation Sequences (RIAD, BCL, TC), pp. 168–171.

ICPR-v2-2002-MullerWHR #3d #markov #modelling #pseudo #recognition #using

Facial Expression Recognition Using Pseudo 3-D Hidden Markov Models (SM, FW, FH, GR), pp. 32–35.

ICPR-v2-2002-SatoK #gesture #markov #modelling #multi #recognition

Extension of Hidden Markov Models to Deal with Multiple Candidates of Observations and its Application to Mobile-Robot-Oriented Gesture Recognition (YS, TK), p. 515–?.

ICPR-v2-2002-YeL #image #markov #modelling #segmentation #using

Wavelet-Based Unsupervised SAR Image Segmentation Using Hidden Markov Tree Models (ZY, CCL), pp. 729–732.

ICPR-v3-2002-Al-MaadeedHE #approach #markov #recognition #using #word

Recognition of Off-Line Handwritten Arabic Words Using Hidden Markov Model Approach (SAM, CH, DE), pp. 481–484.

ICPR-v3-2002-FengDW #markov #modelling #recognition #using

Chinese Handwriting Recognition Using Hidden Markov Models (BF, XD, YW), pp. 212–215.

ICPR-v3-2002-VinciarelliB #markov #modelling #recognition #using #word

Offline Cursive Word Recognition using Continuous Density Hidden Markov Models Trained with PCA or ICA Features (AV, SB), pp. 81–84.

SAC-2002-RiveroDF #database #elicitation #strict

Elicitation and conversion of hidden objects and restrictions in a database schema (LCR, JHD, VEF), pp. 463–469.

ICDAR-2001-DiligentiGMS #classification #documentation #html #modelling

Classification of HTML Documents by Hidden Tree-Markov Models (MD, MG, MM, FS), pp. 849–853.

ICDAR-2001-GrandidierSGS #markov #modelling #power of

An a priori Indicator of the Discrimination Power of Discrete Hidden Markov Models (FG, RS, MG, CYS), pp. 350–355.

ICDAR-2001-GuoM #markov #modelling #using

Separating Handwritten Material from Machine Printed Text Using Hidden Markov Models (JKG, MYM), pp. 439–443.

ICDAR-2001-LeedhamTY #identification #markov #using

Handwritten Country Name Identification Using Vector Quantisation and Hidden Markov Model (GL, WKT, WLY), pp. 685–688.

ICDAR-2001-NatarajanESM #markov #modelling #using

Videotext OCR Using Hidden Markov Models (PN, BE, RMS, JM), pp. 947–951.

ICDAR-2001-SerraduraSV #classification #markov #modelling #using #web

Web Sites Thematic Classification Using Hidden Markov Models (LS, MS, NV), pp. 1094–1099.

VLDB-2001-RaghavanG #crawling #web

Crawling the Hidden Web (SR, HGM), pp. 129–138.

VLDB-2001-Sol #database #embedded #network #ubiquitous

Ambient Intelligence with the Ubiquitous Network, the Embedded Computer Devices and the Hidden Databases (abstract) (EJS), p. 14.

IWPC-2001-YuR #co-evolution #comprehension #dependence

Hidden Dependencies in Program Comprehension and Change Propagation (ZY, VR), pp. 293–299.

STOC-2001-GrigniSVV #algorithm #problem #quantum

Quantum mechanical algorithms for the nonabelian hidden subgroup problem (MG, LJS, MV, UVV), pp. 68–74.

ICALP-2001-FlajoletGSV #statistics

Hidden Pattern Statistics (PF, YG, WS, BV), pp. 152–165.

ICML-2001-GlickmanS #learning #memory management #policy #probability #search-based

Evolutionary Search, Stochastic Policies with Memory, and Reinforcement Learning with Hidden State (MRG, KPS), pp. 194–201.

SIGIR-2001-BleiM #markov #segmentation #topic

Topic Segmentation with an Aspect Hidden Markov Model (DMB, PJM), pp. 343–348.

SIGIR-2001-ConroyO #markov #modelling #summary

Text Summarization via Hidden Markov Models (JMC, DPO), pp. 406–407.

RE-2001-Spafford #privacy #security

The Hidden Meta-Requirements of Security and Privacy (EHS), p. 10.

ICML-2000-DeJong #empirical #learning

Hidden Strengths and Limitations: An Empirical Investigation of Reinforcement Learning (GD), pp. 215–222.

ICML-2000-LiB #approach #clustering #markov #modelling #using

A Bayesian Approach to Temporal Data Clustering using Hidden Markov Models (CL, GB), pp. 543–550.

ICPR-v1-2000-AricaY #markov

A Shape Descriptor Based on Circular Hidden Markov Mode (NA, FTYV), pp. 1924–1927.

ICPR-v1-2000-BojovicS #markov #modelling #recognition #word

Training of Hidden Markov Models for Cursive Handwritten Word Recognition (MB, MDS), pp. 1973–1976.

ICPR-v2-2000-DehghanFAS #fuzzy #markov #modelling #recognition #using #word

Off-Line Unconstrained Farsi Handwritten Word Recognition Using Fuzzy Vector Quantization and Hidden Markov Word Models (MD, KF, MA, MS), pp. 2351–2354.

ICPR-v2-2000-WangZCF #approach #markov #random #recognition

Hidden Markov Random Field Based Approach for Off-Line Handwritten Chinese Character Recognition (QW, RZ, ZC, DDF), pp. 2347–2350.

ICPR-v3-2000-DeMenthonDS #distance #image #markov #modelling #using

Image Distance Using Hidden Markov Models (DD, DSD, MVS), pp. 3147–3150.

ICDAR-1999-KosmalaRLP #graph grammar #markov #modelling #online #recognition #using

On-Line Handwritten Formula Recognition using Hidden Markov Models and Context Dependent Graph Grammars (AK, GR, SL, LP), pp. 107–110.

ICDAR-1999-SaidYS #recognition #using

Recognition of English and Arabic Numerals using a Dynamic Number of Hidden Neurons (FNS, RAY, CYS), pp. 237–240.

FM-v2-1999-GoguenR #algebra

Hiding More of Hidden Algebra (JAG, GR), pp. 1704–1719.

ICML-1999-FiroiuC #markov #modelling #using

Abstracting from Robot Sensor Data using Hidden Markov Models (LF, PRC), pp. 106–114.

ICML-1999-ThrunLF #learning #markov #modelling #monte carlo #parametricity #probability #process

Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes (ST, JL, DF), pp. 415–424.

SIGIR-1999-MillerLS #information retrieval #markov

A Hidden Markov Model Information Retrieval System (DRHM, TL, RMS), pp. 214–221.

SAS-1998-GoyalP #problem

A New Solution to the Hidden Copy Problem (DG, RP), pp. 327–348.

ICML-1998-RamachandranM #network #refinement

Theory Refinement of Bayesian Networks with Hidden Variables (SR, RJM), pp. 454–462.

ICPR-1998-DolfingAO #markov #modelling #online #verification

On-line signature verification with hidden Markov models (JGAD, EHLA, JJGMVO), pp. 1309–1312.

ICPR-1998-EickelerKR #gesture #markov #modelling #online #recognition

Hidden Markov model based continuous online gesture recognition (SE, AK, GR), pp. 1206–1208.

ICPR-1998-KamathKDD #image #markov #modelling #segmentation #using

Joint segmentation and image interpretation using hidden Markov models (NK, KSK, UBD, RD), pp. 1840–1842.

ICPR-1998-KeeniNS #automation #classification #estimation #generative #network #using

Automatic generation of initial weights and estimation of hidden units for pattern classification using neural networks (KK, KN, HS), pp. 1568–1571.

ICPR-1998-KnerrA #hybrid #markov #recognition #word

A neural network-hidden Markov model hybrid for cursive word recognition (SK, EA), pp. 1518–1520.

ICPR-1998-LamOX #classification #learning

Application of Bayesian Ying-Yang criteria for selecting the number of hidden units with backpropagation learning to electrocardiogram classification (WKL, NO, LX), pp. 1686–1688.

ICPR-1998-ProcterIE #markov #modelling #recognition #string #using

The recognition of handwritten digit strings of unknown length using hidden Markov models (SP, JI, AJE), pp. 1515–1517.

ICPR-1998-RigollK #comparison #markov #modelling #online #verification

A systematic comparison between on-line and off-line methods for signature verification with hidden Markov models (GR, AK), pp. 1755–1757.

ALP-PLILP-1998-GoguenMK #theorem

A Hidden Herbrand Theorem (JAG, GM, TK), pp. 445–462.

ICDAR-1997-Aufmuth #markov

Revealing the hidden Markov recognizer (CA), pp. 560–563.

ICDAR-1997-FrankeGKM #classification #comparison #markov #modelling #polynomial #recognition

A Comparison of Gaussian Distribution and Polynomial Classifiers in a Hidden Markov Model Based System for the Recognition of Cursive Script (JF, JMG, AK, EM), pp. 515–518.

ICDAR-1997-KashiHNT #markov #online #using #verification

On-line Handwritten Signature Verification using Hidden Markov Model Features (RSK, JH, WLN, WT), pp. 253–257.

ICDAR-1997-KosmalaRR #markov #modelling #online #recognition #using

Improved On-Line Handwriting Recognition Using Context Dependent Hidden Markov Models (AK, JR, GR), pp. 641–644.

ICML-1997-Friedman #learning #network

Learning Belief Networks in the Presence of Missing Values and Hidden Variables (NF), pp. 125–133.

ICPR-1996-AmaraB #markov #modelling #recognition

Printed PAW recognition based on planar hidden Markov models (NEBA, AB), pp. 220–224.

ICPR-1996-Chen #detection #parallel

The use of hidden deletable pixel detection to obtain bias-reduced skeletons in parallel thinning (YSC), pp. 91–95.

ICPR-1996-KasprzakC #analysis #component #image #independence

Hidden image separation from incomplete image mixtures by independent component analysis (WK, AC), pp. 394–398.

ICPR-1996-MorimotoYD #gesture #markov #modelling #recognition #using

Recognition of head gestures using hidden Markov models (CM, YY, LSD), pp. 461–465.

ICPR-1996-MottlMBK #image #problem

Hidden tree-like quasi-Markov model and generalized technique for a class of image processing problems (VM, IBM, AB, AK), pp. 715–719.

ICPR-1996-Nouza #feature model #markov #modelling #recognition #speech

Feature selection methods for hidden Markov model-based speech recognition (JN), pp. 186–190.

ICPR-1996-RigollKRN #comparison #markov #modelling #recognition

A comparison between continuous and discrete density hidden Markov models for cursive handwriting recognition (GR, AK, JR, CN), pp. 205–209.

ICPR-1996-UtschickN #adaptation #network

Bayesian adaptation of hidden layers in Boolean feedforward neural networks (WU, JAN), pp. 229–233.

ICDAR-v1-1995-ChenWB #comparison #image #markov #modelling

A comparison of discrete and continuous hidden Markov models for phrase spotting in text images (FC, LW, DSB), pp. 398–402.

ICDAR-v1-1995-Garcia-SalicettiDGMF #markov #online #predict #recognition

A hidden Markov model extension of a neural predictive system for on-line character recognition (SGS, BD, PG, AM, DF), pp. 50–53.

ICDAR-v1-1995-GillouxLL #hybrid #markov #network #recognition #word

A hybrid radial basis function network/hidden Markov model handwritten word recognition system (MG, BL, ML), pp. 394–397.

ICDAR-v1-1995-ParkL #markov #random #recognition

Hidden Markov mesh random field: theory and its application to handwritten character recognition (HSP, SWL), pp. 409–412.

ICDAR-v2-1995-OhK #markov #modelling #recognition #using

Off-line recognition of handwritten Korean and alphanumeric characters using hidden Markov models (CO, WSK), pp. 815–818.

ICML-1995-McCallum #learning

Instance-Based Utile Distinctions for Reinforcement Learning with Hidden State (AM), pp. 387–395.

ILPS-1995-TarauDF #backtracking #continuation #linear

Backtrackable State with Linear Assumptions, Continuations and Hidden Accumulator Grammars (PT, VD, AF), p. 642.

STOC-1994-AuerL #learning #simulation

Simulating access to hidden information while learning (PA, PML), pp. 263–272.

SIGIR-1994-MittendorfS #documentation #markov #modelling #retrieval

Document and Passage Retrieval Based on Hidden Markov Models (EM, PS), pp. 318–327.

ICDAR-1993-AgazziK #2d #documentation #image #markov #modelling #normalisation #pseudo #recognition #using

Joint normalization and recognition of degraded document images using pseudo-2D hidden Markov models (OEA, SsK), pp. 155–158.

ICDAR-1993-ChenWB #detection #image #keyword #markov #modelling #using

Detecting and locating partially specified keywords in scanned images using hidden Markov models (FC, LW, DSB), pp. 133–138.

ICDAR-1993-GillouxLB #markov #modelling #recognition #using #word

Strategies for handwritten words recognition using hidden Markov models (MG, ML, JMB), pp. 299–304.

ICDAR-1993-KaltenmeierCGM #markov #modelling #recognition

Sophisticated topology of hidden Markov models for cursive script recognition (AK, TC, JMG, EM), pp. 139–142.

ICDAR-1993-LamH #markov #modelling #using

Reading constrained text using hierarchical hidden Markov models (SWL, WKH), pp. 151–154.

DLT-1993-Marcus

Hidden Grammars (SM), pp. 453–460.

ICML-1993-Connolly #clustering #concept #network

Constructing Hidden Variables in Bayesian Networks via Conceptual Clustering (DC), pp. 65–72.

STOC-1991-BroderFS

Finding Hidden Hamiltonian Cycles (Extended Abstract) (AZB, AMF, ES), pp. 182–189.

STOC-1991-Mulmuley

Hidden Surface Removal with Respect to a Moving View Point (KM), pp. 512–522.

ICALP-1990-GoodrichAO #trade-off

An Input-Size/Output-Size Trade-Off in the Time-Complexity of Rectilinear Hidden Surface Removal (Preliminary Version) (MTG, MJA, MHO), pp. 689–702.

ALP-1990-Farres-Casals #correctness #proving #specification

Proving Correctness wrt Specifications with Hidden Parts (JFC), pp. 25–39.

ML-1988-CaruanaS #algorithm #bias #representation #search-based

Representation and Hidden Bias: Gray vs. Binary Coding for Genetic Algorithms (RC, JDS), pp. 153–161.