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Mixture model
Results: 969

#	Item
101	Non-Parametric Discrete Mixture Model Recovery via Nonnegative Matrix Factorization Stefan Karpinski, John R. Gilbert, Elizabeth M. Belding Department of Computer Science University of California, Santa Barbara {sgk,gilb Add to Reading List Source URL: karpinski.org Language: English - Date: 2016-04-13 16:19:52 Algebra Mathematics Matrix theory Linear algebra Multivariate statistics Non-negative matrix factorization KullbackLeibler divergence Probability distribution Singular value decomposition Mixture model Euclidean algorithm Matrix decomposition
102	Kernel Belief Propagation 1 Le Song,1 Arthur Gretton,1,2 Danny Bickson,1 Yucheng Low,1 Carlos Guestrin1 School of Computer Science, CMU; 2 Gatsby Computational Neuroscience Unit & MPI for Biological Cybernetics Add to Reading List Source URL: select.cs.cmu.edu Language: English - Date: 2011-07-19 21:41:57 Statistics Probability Mathematical analysis Machine learning Hilbert space Graphical models Probability theory Belief propagation Coding theory Positive-definite kernel Mixture model Normal distribution
103	Learning Conditional Latent Structures from Multiple Data Sources Viet Huynh1(B) , Dinh Phung1 , Long Nguyen2 , Svetha Venkatesh1 , and Hung H. Bui3 1 Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2015-05-04 22:34:06 Statistics Probability Statistical natural language processing Probability distributions Stochastic processes Machine learning Statistical models Latent Dirichlet allocation Dirichlet process Dirichlet distribution Mixture model Gibbs sampling
104	An Alternative Prior Process for Nonparametric Bayesian Clustering Hanna M. Wallach Department of Computer Science University of Massachusetts Amherst Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2010-03-26 09:04:06 Statistics Stochastic processes Statistical theory Probability Hierarchical Dirichlet process Dirichlet process PitmanYor process Chinese restaurant process Dirichlet distribution Mixture model Concentration parameter Pattern recognition
105	A New Method for Calculating Music Similarity Eric Battenberg and Vijay Ullal December 12, 2006 Abstract We introduce a new technique for calculating the perceived similarity of two songs based on their spectral content. Add to Reading List Source URL: www.ericbattenberg.com Language: English - Date: 2016-04-17 01:51:14 Statistics Machine learning Markov models Applied mathematics Cluster analysis Bioinformatics Statistical distance Hidden Markov model Mixture model K-means clustering Expectationmaximization algorithm Similarity measure
106	Accounting for Data dependencies within a Hierarchical Dirichlet Process Mixture Model CIKM 2011 Dongwoo Kim & Alice Oh KAIST U&I Lab. Add to Reading List Source URL: uilab.kaist.ac.kr Language: English - Date: 2013-05-23 10:59:50
107	Transition State Clustering: Unsupervised Surgical Trajectory Segmentation For Robot Learning The International Journal of Robotics Research Add to Reading List Source URL: goldberg.berkeley.edu Language: English - Date: 2016-05-13 21:43:53 Markov models Estimation theory Cluster analysis Machine learning Mixture model Image segmentation Hidden Markov model Expectationmaximization algorithm Markov chain K-means clustering Time series
108	CURRICULUM VITAE for S.G.Walker EDUCATION Sep 1976-NovSutton Manor High School, Sutton, Surrey. Oct 1984-JunOriel College, Oxford University (awarded Open Exhibition on entry to Oriel College). Oct 1992-Sep Add to Reading List Source URL: www.ma.utexas.edu Language: English - Date: 2016-05-30 02:40:50 Statistical inference Statistical theory Stochastic processes Statistical models Bayesian inference Statistical forecasting Bayesian statistics Dirichlet process Bayesian Statistics Mixture model
109	TSC-DL: Unsupervised Trajectory Segmentation of Multi-Modal Surgical Demonstrations with Deep Learning Adithyavairavan Murali, Animesh Garg, Sanjay Krishnan, Florian T. Pokorny, Pieter Abbeel, Trevor Darrell, Ken Gold Add to Reading List Source URL: goldberg.berkeley.edu Language: English* - Date: 2016-02-18 12:31:15 Computational neuroscience Cluster analysis Image segmentation Multivariate statistics Deep learning Mixture model Convolutional neural network K-means clustering Hierarchical clustering Artificial neural network Principal component analysis
110	Regularized estimation of image statistics by Score Matching Diederik P. Kingma Department of Information and Computing Sciences Universiteit Utrecht Add to Reading List Source URL: dpkingma.com Language: English - Date: 2013-03-10 05:45:50 Machine learning Statistical models Signal processing Statistical theory Estimation theory Maximum likelihood estimation Artificial neural network Independent component analysis Pattern recognition Mixture model

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