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Mixture model
Results: 969

#	Item
881	1 MMSE-based missing-feature reconstruction with temporal modeling for robust speech recognition Jos´e A. Gonz´alez, Antonio M. Peinado, Senior Member, IEEE, Ning Ma, Angel M. G´omez, and Jon Barker Add to Reading List Source URL: jandresgonzalez.files.wordpress.com Language: English - Date: 2013-09-09 09:57:25 Noise Markov models Estimation theory Bioinformatics Hidden Markov model Mixture model Principal component analysis Multivariate normal distribution Autoregressive model Statistics Probability and statistics Signal processing
882	Log-spectral feature reconstruction based on an occlusion model for noise robust speech recognition Jos´e A. Gonz´alez, Antonio M. Peinado, Angel M. G´omez Ning Ma Add to Reading List Source URL: jandresgonzalez.files.wordpress.com Language: English - Date: 2013-09-09 10:01:26 Statistical inference Minimum mean square error Speech enhancement Additive white Gaussian noise Mixture model Combinatory logic Statistics Signal processing Estimation theory
883	COMBINING MISSING-DATA RECONSTRUCTION AND UNCERTAINTY DECODING FOR ROBUST SPEECH RECOGNITION Jos´e A. Gonz´alez, Antonio M. Peinado, Angel M. G´omez∗ Ning Ma, Jon Barker Add to Reading List Source URL: jandresgonzalez.files.wordpress.com Language: English - Date: 2013-09-09 09:59:16 Statistical inference Imputation Speech recognition Minimum mean square error Mixture model Normal distribution Statistics Signal processing Estimation theory
884	Scalable Active Matching Ankur Handa, Margarita Chli, Hauke Strasdat and Andrew J. Davison Department of Computing, Imperial College London, UK {ahanda, mchli, strasdat, ajd}@doc.ic.ac.uk Abstract Add to Reading List Source URL: www.doc.ic.ac.uk Language: English - Date: 2010-04-20 11:20:40 Theoretical computer science Graphical models Probability theory Combinatorial optimization Matching Pattern recognition Motion estimation Mixture model Video tracking Mathematics Machine learning Statistics
885	Behav Res DOI[removed]s13428[removed]Fluency Profiling System: An automated system for analyzing the temporal properties of speech Daniel R. Little & Raoul Oehmen & John Dunn & Add to Reading List Source URL: www.psych.unimelb.edu.au Language: English - Date: 2013-03-22 00:05:51 Probability and statistics Machine learning Speech Automatic identification and data capture Speech recognition Mixture model Speech perception Dirichlet process Hidden Markov model Statistics Science Bioinformatics
886	A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences Eric P. Xing, Michael I. Jordan, Richard M. Karp and Stuart Russell Computer Science Division University of California, Berkeley Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2005-10-27 20:39:29 Bayesian statistics Probability Sequence motif Variational Bayesian methods Mixture model Multinomial distribution Dirichlet distribution Expectation–maximization algorithm Hierarchical Bayes model Statistics Bioinformatics Probability and statistics
887	Resubmitted to Econometric Theory POSTERIOR CONSISTENCY IN CONDITIONAL DENSITY ESTIMATION BY COVARIATE DEPENDENT MIXTURES By Andriy Norets Add to Reading List Source URL: www.economics.illinois.edu Language: English - Date: 2013-10-16 15:10:01 Estimation theory Statistical theory Statistical models Kullback–Leibler divergence Thermodynamics Mixture model Density estimation Normal distribution Prior probability Statistics Probability and statistics Bayesian statistics
888	Training Products of Experts by Minimizing Contrastive Divergence Geoffrey E. Hinton presented by Yuxiong Wang[removed] Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-21 13:47:39 Mixture model Product of Experts Probability distribution Gaussian function Maximum likelihood Statistics Machine learning Probability and statistics
889	Bayesian modeling of joint and conditional distributions by mixtures Add to Reading List Source URL: www.economics.illinois.edu Language: English - Date: 2013-10-16 15:09:59 Econometrics Statistical models Bayesian statistics Quantile regression Joint probability distribution Gibbs sampling Mixture model Normal distribution Conditional probability distribution Statistics Probability and statistics Regression analysis
890	Exponential Family Harmoniums with an Application to Information Retrieval Max Welling & Michal Rosen-Zvi Information and Computer Science University of California Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-01 00:27:10 Psychometrics Natural language processing Multivariate statistics Probabilistic latent semantic analysis Expectation–maximization algorithm Latent variable Latent Dirichlet allocation Mixture model Gibbs sampling Statistics Statistical models Statistical natural language processing

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