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Hidden Markov models
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#	Item
321	Conditional Structure versus Conditional Estimation in NLP Models Dan Klein and Christopher D. Manning Computer Science Department Stanford University Stanford, CA[removed] {klein, manning}@cs.stanford.edu Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2004-08-12 21:03:23 Linguistics Statistical natural language processing Computational linguistics Bayesian statistics Machine learning Maximum-entropy Markov model Hidden Markov model Part-of-speech tagging Word-sense disambiguation Statistics Markov models Science
322	Journal of Mathematical Psychology[removed]–12 Contents lists available at SciVerse ScienceDirect Journal of Mathematical Psychology journal homepage: www.elsevier.com/locate/jmp Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Statistical models Stochastic processes Statistical inference Dirichlet process Mixture model Latent variable Bayes factor Bayesian inference Hidden Markov model Statistics Bayesian statistics Psychometrics
323	Pattern Recognition[removed] – 2291 www.elsevier.com/locate/patcog Similarity-based classiﬁcation of sequences using hidden Markov models Manuele Bicegoa,∗ , Vittorio Murinoa , Mário A.T. Figueiredob Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:47:50 Multivariate statistics Markov models Bioinformatics Search algorithms Speech recognition Hidden Markov model Pattern recognition Principal component analysis K-nearest neighbor algorithm Statistics Machine learning Artificial intelligence
324	Similarity-Based Clustering of Sequences Using Hidden Markov Models Manuele Bicego1 , Vittorio Murino1 , and M´ ario A.T. Figueiredo2 1 Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:46:02 Computational linguistics Markov models Cluster analysis Data mining Hierarchical clustering Hidden Markov model Pattern recognition Unsupervised learning Sequence clustering Statistics Machine learning Bioinformatics
325	Inertial Hidden Markov Models: Modeling Change in Multivariate Time Series ˜ George D. Montanez Saeed Amizadeh Add to Reading List Source URL: labs.yahoo.com Language: English - Date: 2014-11-09 18:18:33 Hidden Markov model Markov chain Expectation–maximization algorithm Speech recognition Forward–backward algorithm Regularization Pattern recognition Hierarchical hidden Markov model Layered hidden Markov model Statistics Markov models Machine learning
326	2D shape recognition by Hidden Markov Models Manuele Bicego and Vittorio Murino Dip. di Infomatica, Univ. di Verona Strada Le Grazie!15, [removed]Verona, Italy. {bicegolmurino} @sci.univr.it Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:44:17 Speech recognition Viterbi algorithm Markov chain Pattern recognition Expectation–maximization algorithm HMM Layered hidden Markov model Sequence labeling Statistics Markov models Hidden Markov model
327	Elsevier Editorial System(tm) for Pervasive and Mobile Computing Manuscript Draft Manuscript Number: PMC-D-08-00114R2 Title: Wearable-Sensor Activity Analysis Using Semi-Markov Models with a Grammar. Article Type: Resear Add to Reading List Source URL: www2.mta.ac.il Language: English - Date: 2009-12-16 18:15:39 Expectation–maximization algorithm Segmentation Markov chain Support vector machine Tree Statistics Markov models Hidden Markov model
328	Using Hidden Markov Models and Wavelets for face recognition M. Bicego, U. Castellani, V. Murino Dipartimento di Informatica, Universit`a di Verona Ca’ Vignal 2, Strada Le Grazie[removed]Verona, Italia bicego,castella Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:45:35 ISO standards Computing Wavelets Digital signal processing Signal processing Discrete cosine transform Speech recognition JPEG Facial recognition system Mathematical analysis Graphics file formats Automatic identification and data capture
329	Pattern Recognition Letters[removed]–1407 www.elsevier.com/locate/patrec A sequential pruning strategy for the selection of the number of states in hidden Markov models Manuele Bicego Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:46:39 Computational statistics Machine learning Bioinformatics Hidden Markov model Estimation theory Cluster analysis Speech recognition Expectation–maximization algorithm Pattern recognition Statistics Markov models Probability and statistics
330	Recognizing People’s Faces: from Human to Machine Vision Massimo Tistarelli Manuele Bicego and Enrico Grosso Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:51:25 Artificial intelligence Automatic identification and data capture Machine learning Hidden Markov models Bioinformatics Hierarchical hidden Markov model Speech recognition Face perception Pattern recognition Statistics Science Face recognition

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