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Hierarchical hidden Markov model
Results: 57

#	Item
41	Sign Spotting using Hierarchical Sequential Patterns with Temporal Intervals Eng-Jon Ong, Oscar Koller, Nicolas Pugeault, Richard Bowden CVSSP, University of Surrey Guildford GU27XH, UK {e.ong,n.pugeault,r.bowden}@surrey Add to Reading List Source URL: www-i6.informatik.rwth-aachen.de Language: English B-tree Binary trees Data management Graph theory Bioinformatics Hidden Markov model
42	Sign Spotting using Hierarchical Sequential Patterns with Temporal Intervals Eng-Jon Ong, Oscar Koller, Nicolas Pugeault, Richard Bowden CVSSP, University of Surrey Guildford GU27XH, UK {e.ong,n.pugeault,r.bowden}@surrey Add to Reading List Source URL: www-i6.informatik.rwth-aachen.de Language: English B-tree Binary trees Data management Graph theory Bioinformatics Hidden Markov model
43	A Probabilistic Relational Model for Characterizing Situations in Dynamic Multi-Agent Systems Daniel Meyer-Delius1 , Christian Plagemann1 , Georg von Wichert2 , Wendelin Feiten2 , Gisbert Lawitzky2 , and Wolfram Burgard1 Add to Reading List Source URL: www.service-robotik-initiative.de Language: English - Date: 2007-11-05 10:05:53 Hidden Markov model Speech recognition Recursive Bayesian estimation Markov chain Relational model Layered hidden Markov model Hierarchical hidden Markov model Markov models Statistics Probability and statistics
44	Sign Spotting using Hierarchical Sequential Patterns with Temporal Intervals Eng-Jon Ong, Oscar Koller, Nicolas Pugeault, Richard Bowden CVSSP, University of Surrey Guildford GU27XH, UK {e.ong,n.pugeault,r.bowden}@surrey Add to Reading List Source URL: www-i6.informatik.rwth-aachen.de Language: English B-tree Binary trees Data management Graph theory Bioinformatics Hidden Markov model
45	36-785: State Space and Hidden Markov Models Instructor: Jing Lei Office: Baker Hall 229-G Email: [removed] Phone: [removed]Office hours: Wednesdays 2:30-3:30 Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2012-01-13 13:40:57 Hidden Markov model Particle filter Markov chain Kalman filter Viterbi algorithm Forward–backward algorithm Estimation theory Hierarchical hidden Markov model Markov models Statistics Probability and statistics
46	Sign Spotting using Hierarchical Sequential Patterns with Temporal Intervals Eng-Jon Ong, Oscar Koller, Nicolas Pugeault, Richard Bowden CVSSP, University of Surrey Guildford GU27XH, UK {e.ong,n.pugeault,r.bowden}@surrey Add to Reading List Source URL: www-i6.informatik.rwth-aachen.de Language: English B-tree Binary trees Data management Graph theory Bioinformatics Hidden Markov model
47	CONTENT-BASED MUSICAL SIMILARITY COMPUTATION USING THE HIERARCHICAL DIRICHLET PROCESS Matthew Hoffman Princeton University Dept. of Computer Science Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:55 Dirichlet process Hidden Markov model Mixture model Expectation–maximization algorithm Information retrieval Dirichlet distribution Normal distribution Semantic similarity Kullback–Leibler divergence Statistics Machine learning Natural language processing
48	Online Variational Inference for the Hierarchical Dirichlet Process Chong Wang John Paisley David M. Blei Computer Science Department, Princeton University Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2011-05-12 14:11:19 Latent Dirichlet allocation Dynamic topic model Variational Bayesian methods Topic model Hidden Markov model Calculus of variations Mixture model Bayesian inference Dirichlet process Statistics Statistical natural language processing Bayesian statistics
49	DATA-DRIVEN RECOMPOSITION USING THE HIERARCHICAL DIRICHLET PROCESS HIDDEN MARKOV MODEL Matthew D. Hoffman† , Perry R. Cook†‡ , David M. Blei† Princeton University †Dept. of Computer Science ‡Dept. of Music Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:55 Probability and statistics Hidden Markov model Markov chain Speech recognition Stochastic matrix Viterbi algorithm Expectation–maximization algorithm Gibbs sampling Hierarchical hidden Markov model Markov models Statistics Machine learning
50	Representing hierarchical POMDPs as DBNs for multi-scale robot localization Georgios Theocharous Kevin Murphy Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2004-07-01 07:47:54 Dynamic programming Stochastic control Hierarchical hidden Markov model Hidden Markov model Partially observable Markov decision process Expectation–maximization algorithm Markov decision process Algorithm Markov chain Statistics Markov processes Markov models

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