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Mixture model
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#	Item
61	Introduction Mixture Model Evaluation Add to Reading List Source URL: seminar-materials.iijlab.net Language: English - Date: 2015-06-09 22:33:04 Light Round-trip delay time Network performance Transmission Control Protocol Mixture model
62	AUTOMATIC MUSIC TAGGING WITH TIME SERIES MODELS Luke Barrington Emanuele Coviello University of California, University of California, San Diego San Diego Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:26 Estimation theory Statistical models Statistical theory Cluster analysis Machine learning Mixture model Expectationmaximization algorithm Maximum likelihood estimation
63	STEREO RANDOM FIELD FOR BI-LAYER IMAGE SEGMENTATION Kuo-Chin Lien and Jerry D. Gibson Department of Electrical and Computer Engineering, University of California, Santa Barbara, USA {kuochin, gibson}@ece.ucsb.edu ABSTRAC Add to Reading List Source URL: vivonets.ece.ucsb.edu Language: English - Date: 2013-08-15 18:56:12 Image segmentation Computer vision Image processing Mixture model Market segmentation Stereoscopy Rigid motion segmentation Graph cuts in computer vision
64	This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOITKDE, IEEE Tr Add to Reading List Source URL: people.tubri.org Language: English - Date: 2015-03-18 18:22:04 Robust statistics Estimation theory Statistical theory Covariance and correlation M-estimators Outlier Maximum likelihood estimation Mixture model Expectationmaximization algorithm Sample mean and covariance Efficiency Normal distribution
65	Discrete mixtures of GEV models Stephane Hess, Imperial College London & RAND Europe Michel Bierlaire, EPFL John W. Polak, Imperial College London Conference paper STRC 2005 Add to Reading List Source URL: www.idep.eco.usi.ch Language: English - Date: 2012-01-04 14:50:59 Statistical models Regression analysis Choice modelling Discrete choice Mode choice Mixed logit Probability distribution Multinomial logistic regression Logistic regression Likelihood function Mixture model Gibbs sampling
66	Learning Conditional Random Fields for Stereo Daniel Scharstein Middlebury College Middlebury, VT, USA Chris Pal Add to Reading List Source URL: www.cs.middlebury.edu Language: English - Date: 2007-06-15 21:08:12 Machine learning Graphical models Conditional random field Stereoscopy Vision Image segmentation Markov random field Mixture model Supervised learning Stereopsis Regression analysis
67	Learning stable, regularised latent models of neural population dynamics Lars Buesing, Jakob H. Macke and Maneesh Sahani Gatsby Computational Neuroscience Unit University College London, UK 17 Queen Square, London, WC1N Add to Reading List Source URL: www.mackelab.org Language: English - Date: 2016-08-04 15:02:44 Estimation theory Regression analysis Statistical models Bayesian statistics Econometrics Maximum likelihood estimation Expectationmaximization algorithm Variational Bayesian methods Linear regression Autoregressive model Variance function Mixture model
68	System Fusion for High-Performance Voice Conversion Xiaohai Tian1,2 , Zhizheng Wu3 , Siu Wa Lee4 , Nguyen Quy Hy1,2 , Minghui Dong4 , and Eng Siong Chng1,2 1 School of Computer Engineering, Nanyang Technological Universi Add to Reading List Source URL: www.cstr.inf.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Computational linguistics Automatic identification and data capture Computer accessibility Speech recognition Speech synthesis Mixture model
69	COMBINED ALGORITHMS FOR FITTING FINITE MIXTURE DISTRIBUTIONS COMBINED ALGORITHMS FOR CONSTRAINED ESTIMATION OF FINITE MIXTURE DISTRIBUTIONS WITH GROUPED Add to Reading List Source URL: ms.mcmaster.ca Language: English - Date: 2006-07-28 11:20:38 Estimation theory Probability distributions Expectationmaximization algorithm Missing data Mixture distribution Maximum likelihood estimation Mixture model
70	IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 16, NO. 2, FEBRUARYSemantic Annotation and Retrieval of Music and Sound Effects Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:28 Computational linguistics Natural language processing Machine learning Automatic image annotation Music information retrieval Annotation MPEG-7 Semantic similarity Speech recognition Mixture model Information retrieval Semantic memory

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