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Mixture model
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#	Item
531	Learning Object Motion Patterns for Anomaly Detection and Improved Object Detection Arslan Basharat, Alexei Gritai, and Mubarak Shah Computer Vision Lab, School of Electrical Engineering and Computer Science, University Add to Reading List Source URL: eecs.ucf.edu Language: English - Date: 2008-08-28 14:07:30 Computer vision Image processing Anomaly detection Data mining Data security Video tracking Mixture model Kadir–Brady saliency detector Statistics Artificial intelligence Probability and statistics
532	Unsupervised Learning of Visual Taxonomies Evgeniy Bart Caltech Pasadena, CA[removed]Ian Porteous Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2009-08-26 01:06:20 Statistical natural language processing Statistical models Computer vision Object recognition Latent Dirichlet allocation One-shot learning Mixture model Dirichlet process Graphical model Statistics Artificial intelligence Machine learning
533	A Hierarchical Graphical Model for Record Linkage Pradeep Ravikumar William W. Cohen Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2004-04-30 12:32:59 Bayesian statistics Graphical models Cluster analysis Mixture model Record linkage Pattern recognition Supervised learning Bayesian network Naive Bayes classifier Statistics Machine learning Statistical models
534	CHAPTER 1. OVERVIEW CHAPTER 1. OVERVIEW 1.1 Latent Class, Finite Mixture Modeling, and Beyond Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2009-05-18 08:46:52 Statistical models Psychometrics Categorical data Latent class model Latent variable model Structural equation modeling Linear regression Logistic regression Multinomial logit Statistics Regression analysis Econometrics
535	Who Killed the Directed Model? Justin Domke, Alap Karapurkar, and Yiannis Aloimonos Department of Computer Science University of Maryland {domke,karapurk,yiannis}@cs.umd.edu Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2008-04-07 18:18:38 Bayesian statistics Statistical models Estimation theory Graphical models Markov random field Mixture model Maximum likelihood Kullback–Leibler divergence Hidden Markov model Statistics Probability and statistics Statistical theory
536	Auto clustering for unsupervised learning of atomic gesture components using minimum description len - Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, 2001. Proceedings. Add to Reading List Source URL: westminsterresearch.wmin.ac.uk Language: English - Date: 2010-08-11 10:30:20 Multivariate statistics Cluster analysis User interface techniques Gesture recognition Gesture Segmentation Hidden Markov model Mixture model K-means clustering Statistics Machine learning Data analysis
537	Admixture of Poisson MRFs: A Topic Model with Word Dependencies David I. Inouye Pradeep Ravikumar Inderjit S. Dhillon Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-05-18 22:36:25 Statistical natural language processing Statistical models Poisson processes Dynamic topic model Latent Dirichlet allocation Statistical theory Regression analysis Poisson distribution Mixture model Statistics Probability and statistics Mathematics
538	Edge preserving spatially varying mixtures for image segmentation Giorgos Sfikas Christophoros Nikou ∗ Nikolaos Galatsanos Add to Reading List Source URL: www.cs.uoi.gr Language: English - Date: 2008-03-11 05:09:11 Cluster analysis Machine learning Mixture model Normal distribution Segmentation Expectation–maximization algorithm Gaussian function Markov chain Gamma distribution Statistics Probability and statistics Statistical models
539	www.ietdl.org Published in IET Computer Vision Received on 25th September 2012 Revised on 22nd May 2013 Accepted on 15th August 2013 doi: [removed]iet-cvi[removed] Add to Reading List Source URL: www.cs.bris.ac.uk Language: English - Date: 2014-03-11 07:06:41 Machine learning Cluster analysis Mixture model Expectation–maximization algorithm Segmentation One-shot learning Gaussian function Statistics Probability and statistics Image processing
540	NeuroImage[removed]–100 Contents lists available at ScienceDirect NeuroImage j o u r n a l h o m e p a g e : w w w. e l s e v i e r. c o m / l o c a t e / y n i m g Add to Reading List Source URL: compmem.princeton.edu Language: English - Date: 2011-05-30 14:04:47 Statistical models Magnetic resonance imaging Bayesian statistics Functional magnetic resonance imaging Mixture model Voxel Spatial analysis Conjugate prior Cross-validation Statistics Machine learning Neuroimaging

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