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Mixture
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#	Item
131	Generating Implicit Surfaces from Lidar Data Mike Smith Ingmar Posner Paul Newman Add to Reading List Source URL: europa.informatik.uni-freiburg.de Language: English - Date: 2010-08-09 09:50:19 Statistics Optics Learning Estimation theory Image segmentation Gaussian process 3D reconstruction Laser Mixture model Regression analysis Lidar 3D scanner
132	Low Level Vision via Switchable Markov Random Fields Dahua Lin CSAIL, MIT John Fisher CSAIL, MIT Add to Reading List Source URL: dahua.me Language: English - Date: 2013-01-06 22:24:23 Statistics Artificial intelligence Computer vision Graphical models Machine learning Image processing Image segmentation Bayesian statistics Markov random field Conference on Computer Vision and Pattern Recognition Mixture model Noise reduction
133	Coupling Nonparametric Mixtures via Latent Dirichlet Processes John Fisher MIT CSAIL Add to Reading List Source URL: dahua.me Language: English - Date: 2013-01-06 22:24:57 Statistics Probability Statistical natural language processing Machine learning Stochastic processes Probability distributions Dirichlet process Latent Dirichlet allocation Probabilistic latent semantic analysis Mixture model Gibbs sampling Dirichlet distribution
134	IMPROVING SPEAKER DIARIZATION BY CROSS EM REFINEMENT Huazhong Ning Wei Xu, Yihong Gong Thomas Huang Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2006-11-17 00:31:30 Statistics Machine learning Cluster analysis Artificial intelligence Data mining Geostatistics Hierarchical clustering Speaker diarisation Image segmentation Mixture model Expectationmaximization algorithm Determining the number of clusters in a data set
135	SAFETY DATA SHEET Revision date: Page 1 ofIDENTIFICATION OF THE SUBSTANCE/MIXTURE AND THE Add to Reading List Source URL: www.beldenbrick.com Language: English - Date: 2015-10-26 07:06:39 Safety Health Occupational safety and health Chemical safety Industrial hygiene Safety engineering Environmental law Safety data sheet Right to know Permissible exposure limit Datasheet Occupational hygiene
136	The following recipe uses a mixture of spices to bring full flavor to an American favorite side dish. These potato wedges are oven-baked instead of fried, making them more heart-healthy and lower in calories. Parmesan Po Add to Reading List Source URL: www.poncatribe-ne.org Language: English Food and drink American cuisine Appetizers Potato wedges Potato Zippuli Food Paradise
137	B BLACK SHALES Black Shales are ®ne grained, generally organic carbon-rich sedimentary rocks that primarily consist of a mixture of clay Add to Reading List Source URL: www.indiana.edu Language: English - Date: 2005-01-17 16:52:44 Geology Sedimentary rocks Earth Planetary science Petroleum geology Kerogen Oil shale geology Petroleum Soil science Sedimentology Shale Source rock
138	Non-parametric estimation of the survivor function for misclassified failure time data Andrew Titman Lancaster University 27 August 2013 Add to Reading List Source URL: www.maths.lancs.ac.uk Language: English - Date: 2013-08-23 12:37:44 Statistics Statistical inference Estimation theory Statistical models Signal processing Censoring Survival analysis Nonparametric statistics Mixture model Bootstrapping Likelihood function
139	Journal of Machine Learning Research747 Submitted 10/12; Revised 6/13; Published 2/14 Clustering Hidden Markov Models with Variational HEM Emanuele Coviello Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:27 Statistics Markov models Machine learning Artificial intelligence Expectationmaximization algorithm Hidden Markov model BaumWelch algorithm Forward algorithm Mixture model Speech recognition Cluster analysis K-means clustering
140	Fully Unsupervised Small-Vocabulary Speech Recognition Using a Segmental Bayesian Model Herman Kamper1,2 , Aren Jansen3 , Sharon Goldwater2 1 CSTR and 2 ILCC, School of Informatics, University of Edinburgh, UK Add to Reading List Source URL: www.cstr.inf.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Statistics Machine learning Artificial intelligence Statistical models Markov models Language modeling Computational linguistics Mixture model Word embedding Image segmentation Hidden Markov model Speech recognition

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