Stem markov$ (all stems)

453 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.

CASE-2015-ZhangTYL #assessment #markov #reliability #using

CAN node reliability assessment using segmented discrete time Markov chains (LZ, LT, FY, YL), pp. 231–236.

DAC-2015-ZaheerWGL #markov #named #performance #process

mTunes: efficient post-silicon tuning of mixed-signal/RF integrated circuits based on Markov decision process (MZ, FW, CG, XL), p. 6.

FoSSaCS-2015-BacciBLM #distance #markov #on the

On the Total Variation Distance of Semi-Markov Chains (GB, GB, KGL, RM), pp. 185–199.

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.

STOC-2015-Louis #algorithm #approximate #markov

Hypergraph Markov Operators, Eigenvalues and Approximation Algorithms (AL), pp. 713–722.

ICALP-v2-2015-EtessamiSY #branch #equation #fixpoint #markov #polynomial #probability #process #reachability

Greatest Fixed Points of Probabilistic Min/Max Polynomial Equations, and Reachability for Branching Markov Decision Processes (KE, AS, MY), pp. 184–196.

ICEIS-v2-2015-FrantzSRYE #ecosystem #integration #markov #on the #process #using

On using Markov Decision Processes to Model Integration Solutions for Disparate Resources in Software Ecosystems (RZF, SS, FRF, IY, MTME), pp. 260–267.

ICML-2015-Abbasi-YadkoriB #crowdsourcing #markov #problem #scalability

Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing (YAY, PLB, XC, AM), pp. 1053–1062.

ICML-2015-GornitzBK #detection #markov

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

ICML-2015-HugginsNSM #markov #named #process

JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes (JHH, KN, AS, VKM), pp. 693–701.

ICML-2015-JerniteRS #approach #learning #markov #modelling #performance #random

A Fast Variational Approach for Learning Markov Random Field Language Models (YJ, AMR, DS), pp. 2209–2217.

ICML-2015-Osogami #markov #process #robust

Robust partially observable Markov decision process (TO), pp. 106–115.

ICML-2015-PerolatSPP #approximate #game studies #markov #programming

Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games (JP, BS, BP, OP), pp. 1321–1329.

ICML-2015-SalimansKW #markov #monte carlo

Markov Chain Monte Carlo and Variational Inference: Bridging the Gap (TS, DPK, MW), pp. 1218–1226.

ICML-2015-TanseyPSR #exponential #markov #product line #random

Vector-Space Markov Random Fields via Exponential Families (WT, OHMP, ASS, PR), pp. 684–692.

ICML-2015-ZhangP #markov #modelling

Markov Mixed Membership Models (AZ, JP), pp. 475–483.

KDD-2015-YuW0PSIW #bound #markov #multi

Tornado Forecasting with Multiple Markov Boundaries (KY, DW, WD, JP, DLS, SI, XW), pp. 2237–2246.

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.

SIGIR-2015-LiDDCZB #behaviour #markov #process #query

Analyzing User’s Sequential Behavior in Query Auto-Completion via Markov Processes (LL, HD, AD, YC, HZ, RABY), pp. 123–132.

QAPL-2015-AldiniB #automaton #markov #similarity

Expected-Delay-Summing Weak Bisimilarity for Markov Automata (AA, MB), pp. 1–15.

QAPL-2015-BortolussiH #markov #modelling #performance

Efficient Checking of Individual Rewards Properties in Markov Population Models (LB, JH), pp. 32–47.

SAC-2015-Homm0G #concurrent #markov #modelling #statistics #testing

Concurrent streams in Markov chain usage models for statistical testing of complex systems (DH, JE, RG), pp. 1803–1807.

CAV-2015-AbateBCK #adaptation #analysis #markov #network

Adaptive Aggregation of Markov Chains: Quantitative Analysis of Chemical Reaction Networks (AA, LB, MC, MZK), pp. 195–213.

CAV-2015-BrazdilCCFK #learning #markov #process

Counterexample Explanation by Learning Small Strategies in Markov Decision Processes (TB, KC, MC, AF, JK), pp. 158–177.

CAV-2015-RandourRS #markov #multi #process #query

Percentile Queries in Multi-dimensional Markov Decision Processes (MR, JFR, OS), pp. 123–139.

ICLP-2015-LeeMW #logic #markov #semantics

Markov Logic Style Weighted Rules under the Stable Model Semantics (JL, YM, YW).

LICS-2015-ChatterjeeKK #markov #multi #process

Unifying Two Views on Multiple Mean-Payoff Objectives in Markov Decision Processes (KC, ZK, JK), pp. 244–256.

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.

VMCAI-2015-BraitlingFHWBH #automaton #markov #metric

Abstraction-Based Computation of Reward Measures for Markov Automata (BB, LMFF, HH, RW, BB, HH), pp. 172–189.

VMCAI-2015-SahaEJMT #distributed #markov

Distributed Markov Chains (RS, JE, SKJ, MM, PST), pp. 117–134.

CASE-2014-ChenS #approach #markov #modelling #novel #using

Modeling building occupancy using a novel inhomogeneous Markov chain approach (ZC, YCS), pp. 1079–1084.

CASE-2014-FeyzabadiC #markov #process #using

Risk-aware path planning using hirerachical constrained Markov Decision Processes (SF, SC), pp. 297–303.

CASE-2014-HaoLGC #effectiveness #flexibility #markov #network #nondeterminism #problem #scheduling

An effective Markov network based EDA for flexible job shop scheduling problems under uncertainty (XCH, LL, MG, CFC), pp. 131–136.

CASE-2014-LuXJ #markov #process

A Markov Decision Process model for elective inpatient admission with delay announcement (YL, XX, ZJ), pp. 552–557.

DRR-2014-WuZCLN #framework #markov #recognition #segmentation

A Markov chain based line segmentation framework for handwritten character recognition (YW, SZ, HC, DL, PN), p. ?–12.

FoSSaCS-2014-0001MS #markov #process

Limit Synchronization in Markov Decision Processes (LD, TM, MS), pp. 58–72.

FoSSaCS-2014-Fu #bound #markov #probability #process #reachability

Maximal Cost-Bounded Reachability Probability on Continuous-Time Markov Decision Processes (HF), pp. 73–87.

TACAS-2014-SoudjaniA #approximate #markov #precise #probability #process

Precise Approximations of the Probability Distribution of a Markov Process in Time: An Application to Probabilistic Invariance (SEZS, AA), pp. 547–561.

SFM-2014-AbrahamBDJKW #bibliography #generative #markov #modelling

Counterexample Generation for Discrete-Time Markov Models: An Introductory Survey (EÁ, BB, CD, NJ, JPK, RW), pp. 65–121.

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.

LCT-NLE-2014-TaraghiSES #classification #learning #markov #multi

Markov Chain and Classification of Difficulty Levels Enhances the Learning Path in One Digit Multiplication (BT, AS, ME, MS), pp. 322–333.

CAiSE-2014-StulpnagelOS #logic #markov #network #risk management

IT Risk Management with Markov Logic Networks (JvS, JO, JS), pp. 301–315.

CAiSE-2014-VergneS #community #markov #network #open source #using

Expert Finding Using Markov Networks in Open Source Communities (MV, AS), pp. 196–210.

ICML-c1-2014-BardenetDH #adaptation #approach #markov #monte carlo #scalability #towards

Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach (RB, AD, CCH), pp. 405–413.

ICML-c1-2014-DickGS #learning #markov #online #process #sequence

Online Learning in Markov Decision Processes with Changing Cost Sequences (TD, AG, CS), pp. 512–520.

ICML-c1-2014-HajiaghayiKWB #estimation #markov #performance

Efficient Continuous-Time Markov Chain Estimation (MH, BK, LW, ABC), pp. 638–646.

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-ZhangZZ #infinity #markov #modelling

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

ICML-c2-2014-CelikkayaS #markov #probability #process

Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes (EBC, CRS), pp. 1962–1970.

ICML-c2-2014-MalekAB #linear #markov #problem #programming #scalability

Linear Programming for Large-Scale Markov Decision Problems (AM, YAY, PLB), pp. 496–504.

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-MizrahiDF #learning #linear #markov #parallel #random

Linear and Parallel Learning of Markov Random Fields (YDM, MD, NdF), pp. 199–207.

ICPR-2014-KaradagV #image #markov #random

Fusion of Image Segmentations under Markov, Random Fields (ÖÖK, FTYV), pp. 930–935.

ICPR-2014-WangCH #hybrid #markov #multi #random #using #video

Wide Baseline Multi-view Video Matting Using a Hybrid Markov Random Field (TW, JPC, AH), pp. 136–141.

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.

SIGIR-2014-FerranteFM #injection #markov #modelling #precise

Injecting user models and time into precision via Markov chains (MF, NF, MM), pp. 597–606.

QAPL-2014-BraitlingFHWBH #abstraction #automaton #game studies #markov #named #refinement

MeGARA: Menu-based Game Abstraction and Abstraction Refinement of Markov Automata (BB, LMFF, HH, RW, BB, HH), pp. 48–63.

QAPL-2014-SpielerHZ #markov #model checking #modelling

Model Checking CSL for Markov Population Models (DS, EMH, LZ), pp. 93–107.

LICS-CSL-2014-ChenK #distance #markov #on the

On the total variation distance of labelled Markov chains (TC, SK), p. 10.

VMCAI-2014-Song0G #bisimulation #logic #markov #process

Bisimulations and Logical Characterizations on Continuous-Time Markov Decision Processes (LS, LZ, JCG), pp. 98–117.

CASE-2013-BouhnikA #adaptation #correlation #exponential #markov

Markov G/G/s model adaptation to factory operational curve though exponential correlation (SB, SA), pp. 730–734.

CASE-2013-ShaoLW #approach #markov

A Markov chain approach to study flow disruptions on surgery in emergency care (XS, JL, DAW), pp. 990–995.

CASE-2013-XieLSD #analysis #approach #markov #modelling #process

Modeling and analysis of hospital inpatient rescue process: A Markov chain approach (XX, JL, CHS, YD), pp. 978–983.

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.

ICDAR-2013-ZhouTLW #markov #random #recognition #using

Minimum Risk Training for Handwritten Chinese/Japanese Text Recognition Using Semi-Markov Conditional Random Fields (XDZ, FT, CLL, HW), pp. 940–944.

SIGMOD-2013-CaiVPAHJ #markov #simulation #using

Simulation of database-valued markov chains using SimSQL (ZC, ZV, LLP, SA, PJH, CMJ), pp. 637–648.

VLDB-2013-0002GJ #correlation #markov #modelling #using

Travel Cost Inference from Sparse, Spatio-Temporally Correlated Time Series Using Markov Models (BY, CG, CSJ), pp. 769–780.

FoSSaCS-2013-UmmelsB #markov #modelling

Computing Quantiles in Markov Reward Models (MU, CB), pp. 353–368.

TACAS-2013-BenediktLW #ltl #markov #model checking

LTL Model Checking of Interval Markov Chains (MB, RL, JW), pp. 32–46.

SCAM-2013-CeruloCPC #detection #markov

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

ICALP-v1-2013-BunT #approximate #bound

Dual Lower Bounds for Approximate Degree and Markov-Bernstein Inequalities (MB, JT), pp. 303–314.

LATA-2013-BiondiLNW #markov #process

Maximizing Entropy over Markov Processes (FB, AL, BFN, AW), pp. 128–140.

SFM-2013-BortolussiH #approximate #behaviour #markov #modelling

Checking Individual Agent Behaviours in Markov Population Models by Fluid Approximation (LB, JH), pp. 113–149.

ICML-c1-2013-WilliamsonDX #markov #modelling #monte carlo #parallel #parametricity

Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models (SW, AD, EPX), pp. 98–106.

ICML-c1-2013-WulsinFL #correlation #markov #parsing #process #using

Parsing epileptic events using a Markov switching process model for correlated time series (DW, EBF, BL), pp. 356–364.

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-Chatzis #infinity

Infinite Markov-Switching Maximum Entropy Discrimination Machines (SC), pp. 729–737.

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

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

ICML-c3-2013-KolarLX #estimation #markov #multi #network

Markov Network Estimation From Multi-attribute Data (MK, HL, EPX), pp. 73–81.

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

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

SIGIR-2013-RaiberK #clustering #documentation #markov #random #ranking #using

Ranking document clusters using markov random fields (FR, OK), pp. 333–342.

CAV-2013-ChatterjeeL #algorithm #markov #performance #process

Faster Algorithms for Markov Decision Processes with Low Treewidth (KC, JL), pp. 543–558.

CSL-2013-ChatterjeeCT #decidability #markov #process #what

What is Decidable about Partially Observable Markov Decision Processes with ω-Regular Objectives (KC, MC, MT), pp. 165–180.

LICS-2013-BrazdilCFK #markov #performance #process

Trading Performance for Stability in Markov Decision Processes (TB, KC, VF, AK), pp. 331–340.

LICS-2013-KozenLMP #markov #process

Stone Duality for Markov Processes (DK, KGL, RM, PP), pp. 321–330.

VMCAI-2013-DehnertKP #bisimulation #markov #modelling #smt

SMT-Based Bisimulation Minimisation of Markov Models (CD, JPK, DP), pp. 28–47.

DAC-2012-PaekMSSK #markov #named #random

PowerField: a transient temperature-to-power technique based on Markov random field theory (SP, SHM, WS, JS, LSK), pp. 630–635.

TACAS-2012-WimmerJABK #markov #modelling

Minimal Critical Subsystems for Discrete-Time Markov Models (RW, NJ, EÁ, BB, JPK), pp. 299–314.

ICALP-v1-2012-EtessamiSY #algorithm #branch #equation #markov #polynomial #probability #process

Polynomial Time Algorithms for Branching Markov Decision Processes and Probabilistic Min(Max) Polynomial Bellman Equations (KE, AS, MY), pp. 314–326.

ICALP-v2-2012-BrazdilKNW #markov #process #termination

Minimizing Expected Termination Time in One-Counter Markov Decision Processes (TB, AK, PN, DW), pp. 141–152.

ICALP-v2-2012-Fu #game studies #markov #metric #process

Computing Game Metrics on Markov Decision Processes (HF), pp. 227–238.

CAiSE-2012-ZawawyKMM #analysis #logic #markov #network #using

Requirements-Driven Root Cause Analysis Using Markov Logic Networks (HZ, KK, JM, SM), pp. 350–365.

ICEIS-J-2012-RibeiroFBKE #algorithm #approach #learning #markov #process

Combining Learning Algorithms: An Approach to Markov Decision Processes (RR, FF, MACB, ALK, FE), pp. 172–188.

ICML-2012-FujimakiH #markov #modelling

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

ICML-2012-JanzaminA #composition #independence #markov

High-Dimensional Covariance Decomposition into Sparse Markov and Independence Domains (MJ, AA), p. 60.

ICML-2012-MoldovanA #markov #process

Safe Exploration in Markov Decision Processes (TMM, PA), p. 188.

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-AntoniukFH #learning #markov #network

Learning Markov Networks by Analytic Center Cutting Plane Method (KA, VF, VH), pp. 2250–2253.

ICPR-2012-AttamimiNN #markov #multi #recognition #using

Hierarchical multilevel object recognition using Markov model (MA, TN, TN), pp. 2963–2966.

ICPR-2012-GlodekSPS #classification #markov #multi #network #using

Multi-modal Fusion based on classifiers using reject options and Markov Fusion Networks (MG, MS, GP, FS), pp. 1084–1087.

ICPR-2012-RaymondMOH #markov #network

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

ICPR-2012-SuLT #documentation #framework #image #learning #markov #random #using

A learning framework for degraded document image binarization using Markov Random Field (BS, SL, CLT), pp. 3200–3203.

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-LassaigneP #approximate #markov #process #scalability #verification

Approximate planning and verification for large markov decision processes (RL, SP), pp. 1314–1319.

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-SwainCNB #analysis #markov #performance #using

Performance analysis of IEEE 802.11 IBSS power save mode using a discrete-time markov model (PS, SC, SN, PB), pp. 631–633.

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.

HPCA-2012-SuhAD #markov #multi #named #reliability

MACAU: A Markov model for reliability evaluations of caches under Single-bit and Multi-bit Upsets (JS, MA, MD), pp. 3–14.

CAV-2012-GuetGHMS #markov #search-based

Delayed Continuous-Time Markov Chains for Genetic Regulatory Circuits (CCG, AG, TAH, MM, AS), pp. 294–309.

LICS-2012-AgrawalAGT #approximate #markov #verification

Approximate Verification of the Symbolic Dynamics of Markov Chains (MA, SA, BG, PST), pp. 55–64.

DATE-2011-WelpK #approach #markov #process #synthesis

An approach for dynamic selection of synthesis transformations based on Markov Decision Processes (TW, AK), pp. 1533–1536.

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.

VLDB-2011-NiuRDS #logic #markov #named #network #scalability #statistics #using

Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS (FN, CR, AD, JWS), pp. 373–384.

CIAA-2011-CarninoF #automaton #generative #markov #random #using

Random Generation of Deterministic Acyclic Automata Using Markov Chains (VC, SDF), pp. 65–75.

ICALP-v2-2011-DengH #automaton #markov #on the #semantics

On the Semantics of Markov Automata (YD, MH), pp. 307–318.

LATA-2011-DelahayeLLPW #markov #problem

Decision Problems for Interval Markov Chains (BD, KGL, AL, MLP, AW), pp. 274–285.

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.

ICML-2011-ChenDC #markov #modelling #parametricity #topic

Topic Modeling with Nonparametric Markov Tree (HC, DBD, LC), pp. 377–384.

ICML-2011-Gould #learning #linear #markov #random

Max-margin Learning for Lower Linear Envelope Potentials in Binary Markov Random Fields (SG), pp. 193–200.

ICML-2011-MannorT #markov #optimisation #process

Mean-Variance Optimization in Markov Decision Processes (SM, JNT), pp. 177–184.

ICML-2011-ThomasB #markov #process

Conjugate Markov Decision Processes (PST, AGB), pp. 137–144.

KDD-2011-SatpalBSRS #information management #logic #markov #network #using #web

Web information extraction using markov logic networks (SS, SB, SS, RR, PS), pp. 1406–1414.

KDIR-2011-RenC #markov #modelling #predict #transaction

Users Interest Prediction Model — Based on 2nd Markov Model and Inter-transaction Association Rules (YR, ALC), pp. 244–249.

QAPL-2011-AndreychenkoCW #infinity #markov #modelling #on the fly

On-the-fly Uniformization of Time-Inhomogeneous Infinite Markov Population Models (AA, PC, VW), p. 1.

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.

CAV-2011-AndreychenkoMSW #identification #markov #modelling #parametricity

Parameter Identification for Markov Models of Biochemical Reactions (AA, LM, DS, VW), pp. 83–98.

CAV-2011-ChatterjeeHJS #algorithm #analysis #automaton #markov #process

Symbolic Algorithms for Qualitative Analysis of Markov Decision Processes with Büchi Objectives (KC, MH, MJ, NS), pp. 260–276.

LICS-2011-BrazdilBCFK #markov #multi #process

Two Views on Multiple Mean-Payoff Objectives in Markov Decision Processes (TB, VB, KC, VF, AK), pp. 33–42.

CASE-2010-Hsu #bound #markov #safety

Control of continuous-time Markov chains with safety upper bounds (SPH), pp. 990–993.

CASE-2010-Tobon-MejiaMZT #markov

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

DATE-2010-KanoriaMM #analysis #markov #monte carlo #statistics #using

Statistical static timing analysis using Markov chain Monte Carlo (YK, SM, AM), pp. 813–818.

DATE-2010-ZhangLL #approach #markov #modelling #simulation #using #verification

An abstraction-guided simulation approach using Markov models for microprocessor verification (TZ, TL, XL), pp. 484–489.

PODS-2010-DeutchKM #fixpoint #markov #on the #probability #query

On probabilistic fixpoint and Markov chain query languages (DD, CK, TM), pp. 215–226.

PODS-2010-KimelfeldR #markov #sequence

Transducing Markov sequences (BK, CR), pp. 15–26.

VLDB-2010-BenediktKOS #markov #probability #xml

Probabilistic XML via Markov Chains (MB, EK, DO, PS), pp. 770–781.

TACAS-2010-ValmariF #markov

Simple O(m logn) Time Markov Chain Lumping (AV, GF), pp. 38–52.

TACAS-2010-ZhangN #interactive #markov #model checking

Model Checking Interactive Markov Chains (LZ, MRN), pp. 53–68.

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

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

ICML-2010-DavisD #bottom-up #learning #markov #network

Bottom-Up Learning of Markov Network Structure (JD, PMD), pp. 271–278.

ICML-2010-KokD #learning #logic #markov #network #using

Learning Markov Logic Networks Using Structural Motifs (SK, PMD), pp. 551–558.

ICML-2010-PetrikTPZ #approximate #feature model #linear #markov #process #source code #using

Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes (MP, GT, RP, SZ), pp. 871–878.

ICML-2010-SongSGS #markov #modelling

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

ICPR-2010-CaoZL #markov #random #using

Human Body Parts Tracking Using Sequential Markov Random Fields (XQC, JZ, ZQL), pp. 1759–1762.

ICPR-2010-KimL #markov #monte carlo #optimisation #random #using

Continuous Markov Random Field Optimization Using Fusion Move Driven Markov Chain Monte Carlo Technique (WK, KML), pp. 1364–1367.

ICPR-2010-LeeCL #algorithm #data-driven #graph #markov #monte carlo #using

A Graph Matching Algorithm Using Data-Driven Markov Chain Monte Carlo Sampling (JL, MC, KML), pp. 2816–2819.

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-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.

KDD-2010-ZhuLX #feature model #incremental #learning #markov #named #performance #random

Grafting-light: fast, incremental feature selection and structure learning of Markov random fields (JZ, NL, EPX), pp. 303–312.

KDIR-2010-TsengPF #classification #markov #using

The Typhoon Track Classification using Tri-plots and Markov Chain (JCHT, HKKP, CF), pp. 364–369.

KMIS-2010-ZyglarskiB #keyword #markov #natural language #network

Keywords Extraction — Selecting Keywords in Natural Language Texts with Markov Chains and Neural Networks (BZ, PB), pp. 315–321.

QAPL-2010-RabeS #game studies #markov

Optimal Time-Abstract Schedulers for CTMDPs and Markov Games (MNR, SS), pp. 144–158.

SAC-2010-DrumondG #concept #logic #markov #ontology #using

Extracting ontology concept hierarchies from text using Markov logic (LD, RG), pp. 1354–1358.

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.

SAC-2010-SenguptaMS #multi #named #network #protocol

MMSRP: multi-wavelength Markov-based split reservation protocol for DWDM optical networks (MS, SKM, DS), pp. 689–693.

HPDC-2010-KrampeLS #hybrid #markov #parallel

A hybrid Markov chain model for workload on parallel computers (AK, JL, WS), pp. 589–596.

CAV-2010-HahnHWZ #markov #model checking #modelling #named #parametricity

PARAM: A Model Checker for Parametric Markov Models (EMH, HH, BW, LZ), pp. 660–664.

ICLP-J-2010-ChristiansenHLP #markov #modelling

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

LICS-2010-Herbelin #logic #markov #principle

An Intuitionistic Logic that Proves Markov’s Principle (HH), pp. 50–56.

CASE-2009-HariharanB #markov #process #using

Misplaced item search in a warehouse using an RFID-based Partially Observable Markov Decision Process (POMDP) model (SH, STSB), pp. 443–448.

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.

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-LeloreB #documentation #image #markov #using

Document Image Binarisation Using Markov Field Model (TL, FB), pp. 551–555.

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-PengSGSB #documentation #identification #markov #random

Markov Random Field Based Text Identification from Annotated Machine Printed Documents (XP, SS, VG, RS, KB), pp. 431–435.

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

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

FoSSaCS-2009-NeuhausserSK #markov #nondeterminism #process

Delayed Nondeterminism in Continuous-Time Markov Decision Processes (MRN, MS, JPK), pp. 364–379.

ICPC-2009-LinsteadHLB #first-order #java #markov #modelling

Capturing Java naming conventions with first-order Markov models (EL, LH, CVL, PB), pp. 313–314.

ICALP-v2-2009-ChaputDPP #approximate #markov #process

Approximating Markov Processes by Averaging (PC, VD, PP, GDP), pp. 127–138.

CIKM-2009-GaoLMWL #framework #markov

A general markov framework for page importance computation (BG, TYL, ZM, TW, HL), pp. 1835–1838.

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-ChoiCW #markov #modelling #multi

Exploiting sparse Markov and covariance structure in multiresolution models (MJC, VC, ASW), pp. 177–184.

ICML-2009-DavisD #higher-order #logic #markov

Deep transfer via second-order Markov logic (JD, PMD), pp. 217–224.

ICML-2009-DoA #markov #modelling #scalability

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

ICML-2009-KokD #learning #logic #markov #network

Learning Markov logic network structure via hypergraph lifting (SK, PMD), pp. 505–512.

ICML-2009-ZhuX #markov #network #on the

On primal and dual sparsity of Markov networks (JZ, EPX), pp. 1265–1272.

KDD-2009-ZhuXZ #markov #network

Primal sparse Max-margin Markov networks (JZ, EPX, BZ), pp. 1047–1056.

SIGIR-2009-ItakuraC #detection #markov #using #wiki

Using dynamic markov compression to detect vandalism in the wikipedia (KYI, CLAC), pp. 822–823.

SIGIR-2009-Lease #markov #query #random

An improved markov random field model for supporting verbose queries (ML), pp. 476–483.

CAV-2009-HahnHWZ #infinity #markov #model checking #named

INFAMY: An Infinite-State Markov Model Checker (EMH, HH, BW, LZ), pp. 641–647.

CAV-2009-HenzingerMW #abstraction #infinity #markov

Sliding Window Abstraction for Infinite Markov Chains (TAH, MM, VW), pp. 337–352.

CAV-2009-KitchenK #constraints #integer #markov #monte carlo

A Markov Chain Monte Carlo Sampler for Mixed Boolean/Integer Constraints (NK, AK), pp. 446–461.

LICS-2009-ChenHKM #automaton #markov #model checking #specification

Quantitative Model Checking of Continuous-Time Markov Chains Against Timed Automata Specifications (TC, TH, JPK, AM), pp. 309–318.

VMCAI-2009-WimmerBB #bound #generative #markov #model checking #using

Counterexample Generation for Discrete-Time Markov Chains Using Bounded Model Checking (RW, BB, BB), pp. 366–380.

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.

FoSSaCS-2008-ChatterjeeSH #markov #model checking

Model-Checking ω-Regular Properties of Interval Markov Chains (KC, KS, TAH), pp. 302–317.

DLT-J-2007-DoyenHR08 #equivalence #markov

Equivalence of Labeled Markov Chains (LD, TAH, JFR), pp. 549–563.

ICALP-B-2008-BrazdilFK #branch #markov #process #synthesis #verification

Controller Synthesis and Verification for Markov Decision Processes with Qualitative Branching Time Objectives (TB, VF, AK), pp. 148–159.

CIKM-2008-Domingos #information management #logic #markov

Markov logic: a unifying language for knowledge and information management (PMD), p. 519.

CIKM-2008-HuangS #markov #query #using

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

ICML-2008-GaelSTG #infinity #markov

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

ICML-2008-HuynhM #learning #logic #markov #network #parametricity

Discriminative structure and parameter learning for Markov logic networks (TNH, RJM), pp. 416–423.

ICML-2008-NarayanamurthyR #markov #on the #process #symmetry

On the hardness of finding symmetries in Markov decision processes (SMN, BR), pp. 688–695.

ICML-2008-SalakhutdinovM08a #markov #matrix #monte carlo #probability #using

Bayesian probabilistic matrix factorization using Markov chain Monte Carlo (RS, AM), pp. 880–887.

ICML-2008-ZhuXZ #markov #network

Laplace maximum margin Markov networks (JZ, EPX, BZ), pp. 1256–1263.

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-ChenHCZL #adaptation #detection #markov #random

Change detection based on adaptive Markov Random Fields (KC, CH, JC, ZZ, HL), 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-GuoYZZY #embedded #markov #random #using

Face super-resolution using 8-connected Markov Random Fields with embedded prior (KG, XY, RZ, GZ, SY), pp. 1–4.

ICPR-2008-HainesW #random #using

Combining shape-from-shading and stereo using Gaussian-Markov random fields (TSFH, RCW), pp. 1–4.

ICPR-2008-KimuraPTYK #markov #modelling #probability #random #visual notation

Dynamic Markov random fields for stochastic modeling of visual attention (AK, DP, TT, JY, KK), pp. 1–5.

ICPR-2008-LevadaMT #image #markov #modelling #on the #probability #random

On the asymptotic variances of Gaussian Markov Random Field model hyperparameters in stochastic image modeling (ALML, NDAM, AT), 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-VachaH #invariant #markov #random

Illumination invariants based on Markov random fields (PV, MH), 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.

SAC-2008-MohseniMMS #markov

A Farsi part-of-speech tagger based on Markov model (MM, HM, BMB, MSf), pp. 1588–1589.

CASE-2007-NarasimhaKS #approach #email #information management #markov #process

A Semi Markov Decision Process Approach To E-mail Management In A Knowledge Work Environment (CYN, MK, RS), pp. 1051–1056.

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.

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.

ICDAR-2007-ZhouLQA #classification #markov #random

Text/Non-text Ink Stroke Classification in Japanese Handwriting Based on Markov Random Fields (XDZ, CLL, SQ, ÉA), pp. 377–381.

TACAS-2007-Derisavi #algorithm #markov

A Symbolic Algorithm for Optimal Markov Chain Lumping (SD), pp. 139–154.

TACAS-2007-EtessamiKVY #markov #model checking #multi #process

Multi-objective Model Checking of Markov Decision Processes (KE, MZK, MYV, MY), pp. 50–65.

SFM-2007-Stewart #markov #modelling #performance

Performance Modelling and Markov Chains (WJS), pp. 1–33.

CIKM-2007-CaoGNB #markov #modelling #query

Extending query translation to cross-language query expansion with markov chain models (GC, JG, JYN, JB), pp. 351–360.

CIKM-2007-Metzler #automation #feature model #information retrieval #markov #random

Automatic feature selection in the markov random field model for information retrieval (DM), pp. 253–262.

CIKM-2007-ZhouHZS #markov

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

ICML-2007-Azran #algorithm #learning #markov #multi #random

The rendezvous algorithm: multiclass semi-supervised learning with Markov random walks (AA), pp. 49–56.

ICML-2007-DelageM #markov #nondeterminism #optimisation #performance #process

Percentile optimization in uncertain Markov decision processes with application to efficient exploration (ED, SM), pp. 225–232.

ICML-2007-MihalkovaM #bottom-up #learning #logic #markov #network

Bottom-up learning of Markov logic network structure (LM, RJM), pp. 625–632.

ICML-2007-ZhuNZW #markov #random #web

Dynamic hierarchical Markov random fields and their application to web data extraction (JZ, ZN, BZ, JRW), pp. 1175–1182.

MLDM-2007-AriuGP #markov #modelling #network

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

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

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

SAC-2007-MilsztajnG #3d #algorithm #markov #random #search-based #segmentation #using

Three-dimensional segmentation of brain tissues using Markov random fields and genetic algorithms (FM, KdG), pp. 745–746.

CAV-2007-AlfaroR #abstraction #markov #process

Magnifying-Lens Abstraction for Markov Decision Processes (LdA, PR), pp. 325–338.

CAV-2007-KatoenKLW #abstraction #markov

Three-Valued Abstraction for Continuous-Time Markov Chains (JPK, DK, ML, VW), pp. 311–324.

LICS-2007-GimbertZ #markov #multi #process

Limits of Multi-Discounted Markov Decision Processes (HG, WZ), pp. 89–98.

TACAS-2006-SenVA #markov #model checking #nondeterminism

Model-Checking Markov Chains in the Presence of Uncertainties (KS, MV, GA), pp. 394–410.

CIKM-2006-CaoNB #documentation #markov #modelling #query

Constructing better document and query models with markov chains (GC, JYN, JB), pp. 800–801.

ICML-2006-DegrisSW #learning #markov #problem #process

Learning the structure of Factored Markov Decision Processes in reinforcement learning problems (TD, OS, PHW), pp. 257–264.

ICML-2006-LiLC #markov #process

Region-based value iteration for partially observable Markov decision processes (HL, XL, LC), pp. 561–568.

ICML-2006-MaggioniM #analysis #evaluation #markov #multi #performance #policy #process #using

Fast direct policy evaluation using multiscale analysis of Markov diffusion processes (MM, SM), pp. 601–608.

ICML-2006-NarasimhanVS #constraints #latency #markov #modelling #online

Online decoding of Markov models under latency constraints (MN, PAV, MS), pp. 657–664.

ICML-2006-RavikumarL #estimation #markov #metric #polynomial #programming #random

Quadratic programming relaxations for metric labeling and Markov random field MAP estimation (PDR, JDL), pp. 737–744.

ICML-2006-SenG #learning #markov #network

Cost-sensitive learning with conditional Markov networks (PS, LG), pp. 801–808.

ICML-2006-ToussaintS #markov #probability #process

Probabilistic inference for solving discrete and continuous state Markov Decision Processes (MT, AJS), pp. 945–952.

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-DemonceauxV #adaptation #markov #random

Adaptative Markov Random Fields for Omnidirectional Vision (CD, PV), pp. 848–851.

ICPR-v1-2006-WenGL #clustering #detection #markov #monte carlo

Markov Chain Monte Carlo Data Association for Merge and Split Detection in Tracking Protein Clusters (QW, JG, KLP), pp. 1030–1033.

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

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

ICPR-v1-2006-ZengL #markov #random #segmentation #using

Stroke Segmentation of Chinese Characters Using Markov Random Fields (JZ, ZQL), pp. 868–871.

ICPR-v1-2006-ZengL06a #fuzzy #markov #random #recognition

Type-2 Fuzzy Markov Random Fields to Handwritten Character Recognition (JZ, ZQL), pp. 1162–65.

ICPR-v2-2006-El-BazFGA #image #robust

Robust Image Registration Based on Markov-Gibbs Appearance Model (AEB, AAF, GLG, AEAH), pp. 1204–1207.

ICPR-v2-2006-YangLWW #clustering #markov #robust

Robust Clustering based on Winner-Population Markov Chain (FWY, HJL, PSPW, HHW), pp. 589–592.

ICPR-v2-2006-YuCMW #detection #markov #monte carlo #multi

Boosted Markov Chain Monte Carlo Data Association for Multiple Target Detection and Tracking (QY, IC, GGM, BW), pp. 675–678.

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-SandersonG #kernel #markov #on the #sequence

On Authorship Attribution via Markov Chains and Sequence Kernels (CS, SG), pp. 437–440.

ICPR-v3-2006-ZhongW #detection #markov #random

Object Detection Based on Combination of Conditional Random Field and Markov Random Field (PZ, RW), pp. 160–163.

KDD-2006-WangM #roadmap #topic

Topics over time: a non-Markov continuous-time model of topical trends (XW, AM), pp. 424–433.

QAPL-2005-WolfBM06 #markov

Trace Machines for Observing Continuous-Time Markov Chains (VW, CB, MEMC), pp. 259–277.

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-ZengL #markov #random #recognition

Markov Random Fields for Handwritten Chinese Character Recognition (JZ, ZQL), pp. 101–105.

TACAS-2005-RemkeHC #infinity #markov #model checking

Model Checking Infinite-State Markov Chains (AR, BRH, LC), pp. 237–252.

STOC-2005-MosselR #learning #markov #modelling

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

ICALP-2005-EtessamiY #game studies #markov #probability #process #recursion

Recursive Markov Decision Processes and Recursive Stochastic Games (KE, MY), pp. 891–903.

ICEIS-v4-2005-FoussFKPS #recommendation #web

Web Recommendation System Based on a Markov-Chainmodel (FF, SF, MK, AP, MS), pp. 56–63.

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.

ICML-2005-KokD #learning #logic #markov #network

Learning the structure of Markov logic networks (SK, PMD), pp. 441–448.

ICML-2005-RohanimaneshM #approach #concurrent #generative #markov #named #process

Coarticulation: an approach for generating concurrent plans in Markov decision processes (KR, SM), pp. 720–727.

ICML-2005-WangWGSC #markov #modelling #random #semantics

Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields (SW, SW, RG, DS, LC), pp. 948–955.

KDD-2005-BesemannD #integration #markov #mining

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

SEKE-2005-SongLN #evaluation #framework #markov #named #object-oriented #specification

OOMSE — An Object Oriented Markov Chain Specification and Evaluation Framework (HS, CL, RN), pp. 229–234.

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.

SIGIR-2005-MetzlerC #dependence #markov #random

A Markov random field model for term dependencies (DM, WBC), pp. 472–479.

SAC-2005-WanMA #array #markov #random #similarity #using

Cleaning microarray expression data using Markov random fields based on profile similarity (RW, HM, KFA), pp. 206–207.

LICS-2005-AbdullaHM #finite #infinity #markov #verification

Verifying Infinite Markov Chains with a Finite Attractor or the Global Coarseness Property (PAA, NBH, RM), pp. 127–136.

FoSSaCS-2004-MisloveOPW #markov #process

Duality for Labelled Markov Processes (MWM, JO, DP, JW), pp. 393–407.

TACAS-2004-BaierHHK #bound #markov #performance #process #reachability

Efficient Computation of Time-Bounded Reachability Probabilities in Uniform Continuous-Time Markov Decision Processes (CB, BRH, HH, JPK), pp. 61–76.

ICML-2004-TaskarCK #learning #markov #network

Learning associative Markov networks (BT, VC, DK).

ICML-2004-WellingRT #approximate #markov

Approximate inference by Markov chains on union spaces (MW, MRZ, YWT).

ICML-2004-WierstraW #markov #modelling

Utile distinction hidden Markov models (DW, MW).

ICPR-v1-2004-ClausiY #comparison #markov #random #segmentation #using

Texture Segmentation Comparison Using Grey Level Co-Occurrence Probabilities and Markov Random Fields (DAC, BY), pp. 584–587.

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-v3-2004-AntoniolC #approach #array #image #markov #random

A Markov Random Field Approach to Microarray Image Gridding (GA, MC), pp. 550–553.

ICPR-v3-2004-BagciAKC #eye tracking #markov #modelling #using

Eye Tracking Using Markov Models (AMB, RA, AAK, EC), pp. 818–821.

ICPR-v3-2004-HuangMP #hybrid #markov #random #recognition #using

A Hybrid Face Recognition Method using Markov Random Fields (RH, DNM, VP), pp. 157–160.

ICPR-v3-2004-JiaQD #detection #markov #modelling #online

An Advanced Segmental Semi-Markov Model Based Online Series Pattern Detection (SJ, YQ, GD), pp. 634–637.

ICPR-v3-2004-MatsuiCUM #markov #monte carlo #recognition #using

Bayesian Face Recognition using a Markov Chain Monte Carlo Method (AM, SC, FU, TM), pp. 918–921.

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.

ICPR-v4-2004-MurakitaII #markov #monte carlo #using

Human Tracking using Floor Sensors based on the Markov Chain Monte Carlo Method (TM, TI, HI), pp. 917–920.

KDD-2004-CohenS #integration #markov #process

Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods (WWC, SS), pp. 89–98.

SIGIR-2004-HoenkampS #documentation #markov

The document as an ergodic markov chain (EH, DS), pp. 496–497.

CAV-2004-BustanRV #markov #verification

Verifying ω-Regular Properties of Markov Chains (DB, SR, MYV), pp. 189–201.

DAC-2003-LiYRP #generative #markov #using

A scan BIST generation method using a markov source and partial bit-fixing (WL, CY, SMR, IP), pp. 554–559.

DATE-2003-PolianBR #markov #optimisation #pseudo #random

Evolutionary Optimization of Markov Sources for Pseudo Random Scan BIST (IP, BB, SMR), pp. 11184–11185.

DRR-2003-Pham #markov #modelling #recognition #statistics

Applications of geostatistics and Markov models for logo recognition (TDP), pp. 20–27.

ICDAR-2003-ChoisyB #markov #network #recognition #word

Coupling of a local vision by Markov field and a global vision by Neural Network for the recognition of handwritten words (CC, AB), pp. 849–853.

ICDAR-2003-PerroneV #documentation #markov #retrieval

Markov Model Document Retrieval (MPP, AV), pp. 1223–1227.

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.

ICDAR-2003-ZhengLD03a #documentation #identification #image #markov #random #using

Text Identification in Noisy Document Images Using Markov Random Field (YZ, HL, DSD), p. 599–?.

SAS-2003-Monniaux #abstract interpretation #markov #process #source code

Abstract Interpretation of Programs as Markov Decision Processes (DM), pp. 237–254.

ICEIS-v2-2003-BouchaffraT #industrial #markov

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

ICEIS-v2-2003-ChadesSC #markov #multi #process #using

Planning Cooperative Homogeneous Multiagent Systems Using Markov Decision Processes (IC, BS, FC), pp. 426–429.

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.

ICML-2003-Duff03a #approximate #markov

Diffusion Approximation for Bayesian Markov Chains (MOD), pp. 139–146.

KDD-2003-TsamardinosAS #markov #performance

Time and sample efficient discovery of Markov blankets and direct causal relations (IT, CFA, ARS), pp. 673–678.

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

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

SAC-2003-KatzerKS #array #markov #random

A Markov Random Field Model of Microarray Gridding (MK, FK, GS), pp. 72–77.

LICS-2003-DanosD #approximate #markov #performance #process

Labelled Markov Processes: Stronger and Faster Approximations (VD, JD), pp. 341–350.

HT-2002-ZhuHH #markov #modelling #predict #using #web

Using Markov models for web site link prediction (JZ, JH, JGH), pp. 169–170.

VLDB-2002-LimWPVP #estimation #markov #named #online #self #xml

XPathLearner: An On-line Self-Tuning Markov Histogram for XML Path Selectivity Estimation (LL, MW, SP, JSV, RP), pp. 442–453.

ICALP-2002-BreugelSW #markov #process #testing

Testing Labelled Markov Processes (FvB, SS, JW), pp. 537–548.

ICALP-2002-Hertling #markov

A Banach-Mazur Computable But Not Markov Computable Function on the Computable Real Numbers (PH), pp. 962–972.

ICML-2002-Bonet #algorithm #markov #process

An epsilon-Optimal Grid-Based Algorithm for Partially Observable Markov Decision Processes (BB), pp. 51–58.

ICML-2002-OliverG #markov #modelling #named

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

ICML-2002-SlonimBFT #feature model #markov #memory management #multi

Discriminative Feature Selection via Multiclass Variable Memory Markov Model (NS, GB, SF, NT), pp. 578–585.

ICML-2002-StrensBE #markov #monte carlo #optimisation #using

Markov Chain Monte Carlo Sampling using Direct Search Optimization (MJAS, MB, NE), pp. 602–609.

ICML-2002-ThamDR #classification #learning #markov #monte carlo #using

Sparse Bayesian Learning for Regression and Classification using Markov Chain Monte Carlo (SST, AD, KR), pp. 634–641.

ICPR-v1-2002-ChengCO #image #markov

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

ICPR-v1-2002-Meas-YedidTO #analysis #clustering #image #markov #random #segmentation

Color Image Segmentation Based on Markov Random Field Clustering for Histological Image Analysis (VMY, ST, JCOM), pp. 796–799.

ICPR-v1-2002-RellierDZF #analysis

A Gauss-Markov Model for Hyperspectral Texture Analysis of Urban Areas (GR, XD, JZ, FF), pp. 692–695.

ICPR-v1-2002-TakizawaYMTIM #3d #image #markov #modelling #random #recognition #using

Recognition of Lung Nodules from X-ray CT Images Using 3D Markov Random Field Models (HT, SY, TM, YT, TI, MM), pp. 99–102.

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-Gutmann #locality #mobile

Markov-Kalman Localization for Mobile Robots (JSG), pp. 601–604.

ICPR-v2-2002-KamijoIS #image #invariant #markov #random #segmentation

Illumination Invariant Segmentation of Spatio-Temporal Images by Spatio-Temporal Markov Random Field Model (SK, KI, MS), pp. 617–622.

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-RiviereMMTPF #graph #learning #markov #random #relational #using

Relational Graph Labelling Using Learning Techniques and Markov Random Fields (DR, JFM, JMM, FT, DPO, VF), pp. 172–175.

ICPR-v2-2002-SanchezBK #markov #video

Coupled Markov Chains for Video Contents Characterization (JMS, XB, JRK), pp. 461–464.

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-BaesensECV #classification #learning #markov #monte carlo #network #using

Learning Bayesian Network Classifiers for Credit Scoring Using Markov Chain Monte Carlo Search (BB, MEP, RC, JV), pp. 49–52.

ICPR-v3-2002-CaputoBN #markov #random #recognition #robust #using

Robust Appearance-Based Object Recognition Using a Fully Connected Markov Random Field (BC, SB, HN), pp. 565–568.

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.

ICPR-v3-2002-WolfD #markov #quality #random #using

Binarization of Low Quality Text Using a Markov Random Field Model (CW, DSD), pp. 160–163.

ICPR-v4-2002-ChenOB #markov #random #recognition #segmentation

Text Segmentation and Recognition in Complex Background Based on Markov Random Field (DC, JMO, HB), pp. 227–230.

ICPR-v4-2002-DassJL #detection #markov #modelling #random #synthesis #using

Face Detection and Synthesis Using Markov Random Field Models (SCD, AKJ, XL), pp. 201–204.

KDD-2002-AndersonDW #adaptation #markov #modelling #navigation #relational #web

Relational Markov models and their application to adaptive web navigation (CRA, PMD, DSW), pp. 143–152.

KDD-2002-ChudovaS #markov #sequence

Pattern discovery in sequences under a Markov assumption (DC, PS), pp. 153–162.

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-MiledA #markov #modelling #recognition

Planar Markov Modeling for Arabic Writing Recognition: Advancement State (HM, NEBA), pp. 69–73.

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.

STOC-2001-MontenegroS #agile #geometry #markov

Edge isoperimetry and rapid mixing on matroids and geometric Markov chains (RM, JBS), pp. 704–711.

ICML-2001-EngelM #embedded #learning #markov #process

Learning Embedded Maps of Markov Processes (YE, SM), pp. 138–145.

ICML-2001-SatoK #learning #markov #problem

Average-Reward Reinforcement Learning for Variance Penalized Markov Decision Problems (MS, SK), pp. 473–480.

ICML-2001-SeldinBT #markov #memory management #segmentation #sequence

Unsupervised Sequence Segmentation by a Mixture of Switching Variable Memory Markov Sources (YS, GB, NT), pp. 513–520.

ICML-2001-ZinkevichB #learning #markov #multi #process #symmetry

Symmetry in Markov Decision Processes and its Implications for Single Agent and Multiagent Learning (MZ, TRB), p. 632–?.

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.

SAC-2001-LarocheBS #composition #markov #process

A new decomposition technique for solving Markov decision processes (PL, YB, RS), pp. 12–16.

CSL-2001-KopylovN #markov #type system

Markov’s Principle for Propositional Type Theory (AK, AN), pp. 570–584.

TACAS-2000-HermannsKMS #markov #model checking

A Markov Chain Model Checker (HH, JPK, JMK, MS), pp. 347–362.

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

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

ICML-2000-McCallumFP #information management #markov #modelling #segmentation

Maximum Entropy Markov Models for Information Extraction and Segmentation (AM, DF, FCNP), pp. 591–598.

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-v1-2000-KamijoMIS #markov #random #robust

Occlusion Robust Tracking Utilizing Spatio-Temporal Markov Random Field Model (SK, YM, KI, MS), pp. 1140–1144.

ICPR-v1-2000-MossH #markov #monte carlo #using

Alignment and Correspondence Using Markov Chain Monte Carlo (SM, ERH), pp. 1928–1931.

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.

ICPR-v3-2000-GravierSC #automation #markov #random #recognition #speech

A Markov Random Field Model for Automatic Speech Recognition (GG, MS, GC), pp. 3258–3261.

ICPR-v3-2000-PagetL #analysis #markov #parametricity #random #testing

Nonparametric Markov Random Field Model Analysis of the MeasTex Test Suite (RP, IDL), pp. 3939–3942.

KDD-2000-GeS #markov #pattern matching

Deformable Markov model templates for time-series pattern matching (XG, PS), pp. 81–90.

CAV-2000-BaierHHK #analysis #markov #model checking

Model Checking Continuous-Time Markov Chains by Transient Analysis (CB, BRH, HH, JPK), pp. 358–372.

LICS-2000-DesharnaisGJP #approximate #markov #process

Approximating Labeled Markov Processes (JD, VG, RJ, PP), pp. 95–106.

DAC-1999-QiuP #markov #power management #process

Dynamic Power Management Based on Continuous-Time Markov Decision Processes (QQ, MP), pp. 555–561.

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-SuralD99a #documentation #image #markov

A Two-state Markov Chain Model of Degraded Document Images (SS, PKD), pp. 463–466.

STOC-1999-CharikarKRRT #markov #on the

On targeting Markov segments (MC, RK, PR, SR, AT), pp. 99–108.

STOC-1999-ChenLP #markov

Lifting Markov Chains to Speed up Mixing (FC, LL, IP), pp. 275–281.

ICALP-1999-Clote #markov

Protein Folding, the Levinthal Paradox and Rapidly Mixing Markov Chains (PC), pp. 240–249.

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.

ICML-1999-WangM #markov #optimisation #process

Hierarchical Optimization of Policy-Coupled Semi-Markov Decision Processes (GW, SM), pp. 464–473.

SIGIR-1999-MillerLS #information retrieval #markov

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

DAC-1998-XieB #classification #finite #markov #performance

Efficient State Classification of Finite State Markov Chains (AX, PAB), pp. 605–610.

ICML-1998-LochS #markov #policy #process #using

Using Eligibility Traces to Find the Best Memoryless Policy in Partially Observable Markov Decision Processes (JL, SPS), pp. 323–331.

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-GoktepeAYY #image #markov #modelling #random #segmentation #using

Unsupervised texture based image segmentation by simulated annealing using Markov random field and Potts models (MG, VA, NY, CY), pp. 820–822.

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-KnerrA #hybrid #markov #recognition #word

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

ICPR-1998-PagetL #markov #multi #parametricity #random #recognition #synthesis

Texture synthesis and unsupervised recognition with a nonparametric multiscale Markov random field model (RP, DL), pp. 1068–1070.

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.

ICPR-1998-WangLL #classification #composition #markov #modelling #random #using

Texture classification using wavelet decomposition with Markov random field models (LW, JL, SZL), pp. 1613–1615.

LICS-1998-DesharnaisEP #bisimulation #logic #markov #process

A Logical Characterization of Bisimulation for Labeled Markov Processes (JD, AE, PP), pp. 478–487.

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.

ICDAR-1997-OlivierJA #markov #optimisation #order #recognition

Markov Model Order Optimization for Text Recognition (CO, FJ, MA), pp. 548–551.

VLDB-1997-KraissW #documentation #migration #predict #scalability

Vertical Data Migration in Large Near-Line Document Archives Based on Markov-Chain Predictions (AK, GW), pp. 246–255.

STOC-1997-Fill #algorithm #markov

An Interruptible Algorithm for Perfect Sampling via Markov Chains (JAF), pp. 688–695.

LICS-1997-BluteDEP #bisimulation #markov #process

Bisimulation for Labelled Markov Processes (RB, JD, AE, PP), pp. 149–158.

DAC-1996-JohnsonCB #design #markov #metric #process #simulation

Application of a Markov Model to the Measurement, Simulation, and Diagnosis of an Iterative Design Process (EWJ, LAC, JBB), pp. 185–188.

ICPR-1996-AmaraB #markov #modelling #recognition

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

ICPR-1996-CooperHY #markov #random

A Markov random field model of subjective contour perception (PRC, SH, PY), pp. 100–104.

ICPR-1996-DarrellP #gesture #markov #process #recognition #using

Active gesture recognition using partially observable Markov decision processes (TD, AP), pp. 984–988.

ICPR-1996-DelagnesB #graph #image #markov #random

Rectilinear structure extraction in textured images with an irregular, graph-based Markov random field model (PD, DB), pp. 800–804.

ICPR-1996-Draper #markov #modelling #process #recognition

Modeling object recognition as a Markov decision process (BAD), pp. 95–99.

ICPR-1996-Gimelfarb #interactive #multi

Non-Markov Gibbs texture model with multiple pairwise pixel interactions (GLG), pp. 591–595.

ICPR-1996-GoktepeYA #markov #segmentation

Unsupervised segmentation of gray level Markov model textures with hierarchical self organizing maps (MG, NY, VA), pp. 90–94.

ICPR-1996-GonzalezC #classification #functional #markov #random

The Markov random fields in functional neighbors as a texture model: applications in texture classification (AMG, DC), pp. 815–819.

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-SmitsD #adaptation #approach #image #markov #random #segmentation #using

Information fusion in a Markov random field-based image segmentation approach using adaptive neighbourhoods (PCS, SGD), pp. 570–575.

KDD-1996-StolorzC #learning #markov #monte carlo #visual notation

Harnessing Graphical Structure in Markov Chain Monte Carlo Learning (PES, PCC), pp. 134–139.

CAV-1996-AzizSSB #markov #verification

Verifying Continuous Time Markov Chains (AA, KS, VS, RKB), pp. 269–276.

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-GuyonP #design #markov #memory management #modelling #using

Design of a linguistic postprocessor using variable memory length Markov models (IG, FP), pp. 454–457.

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.

STOC-1995-LovaszW #markov #performance

Efficient stopping rules for Markov chains (LL, PW), pp. 76–82.

ICML-1994-Littman #framework #game studies #learning #markov #multi

Markov Games as a Framework for Multi-Agent Reinforcement Learning (MLL), pp. 157–163.

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.

ICDAR-1993-LeeTC #markov #recognition

A Markov language model in Chinese text recognition (HJL, CHT, CHCC), pp. 72–75.

STOC-1993-CoffmanJSW #analysis #markov #proving

Markov chains, computer proofs, and average-case analysis of best fit bin packing (EGCJ, DSJ, PWS, RRW), pp. 412–421.

ICALP-1990-CourcoubetisY #markov #process

Markov Decision Processes and Regular Events (Extended Abstract) (CC, MY), pp. 336–349.

STOC-1988-JerrumS #agile #approximate #markov

Conductance and the Rapid Mixing Property for Markov Chains: the Approximation of the Permanent Resolved (Preliminary Version) (MJ, AS), pp. 235–244.

SOSP-J-1975-ChuO76 #algorithm #analysis #markov

Analysis of the PFF Replacement Algorithm via a Semi-Markov Model (WWC, HO), pp. 298–304.