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Random field
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#	Item
161	NATIONAL MATHEMATICS INITIATIVE (NMI) 9th Thematic Programme (August 2012 – PROBABILITY: THEORY AND APPLICATIONS Add to Reading List Source URL: math.iisc.ernet.in Language: English - Date: 2013-01-07 23:14:00 Randomness Random matrix Random graph Asymptotic analysis Point process Bangalore Gaussian random field Statistics Stochastic processes Markov chain
162	1370 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 36, Add to Reading List Source URL: cvgl.stanford.edu Language: English - Date: 2014-10-15 19:57:00 Machine learning Theoretical computer science That Thorn Object recognition Submodular set function Segmentation Variable Function Mathematics Elementary mathematics Conditional random field
163	Prix André-Aisenstadt Prize 2008 Jonathan Taylor (Stanford University) “The geometry of random fields” Résumé / Abstract: This talk will be a survey of the application of geometric techniques to the study of smoot Add to Reading List Source URL: www.crm.umontreal.ca Language: English - Date: 2008-04-14 12:15:32 Combinatorics Point process Random field Mathematical analysis Science Mathematics Aisenstadt Prize Stochastic processes Centre de Recherches Mathématiques
164	PDF Document Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2006-03-20 19:18:22 Graphical models Statistical models Bayesian statistics Conditional random field Theoretical computer science Information extraction Expectation–maximization algorithm Bayesian network Pattern recognition Statistics Machine learning Probability and statistics
165	Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures Johannes Hartz Cognitive Systems Laboratory Department of Informatics University of Hamburg Add to Reading List Source URL: kogs-www.informatik.uni-hamburg.de Language: English - Date: 2009-09-29 12:24:33 Statistics Bayesian statistics Statistical models Applied mathematics Computer vision Bayesian network Matching Markov random field Structure Mathematics Networks Graphical models
166	Probabilistic Modelling and Reasoning School of Informatics, University of Edinburgh Instructor: Prof Chris Williams September 2012 Assessment By formal examination (80%) and one assignment (20%). Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2012-08-31 08:26:57 Statistical models Networks Probability theory Bayesian network Expectation–maximization algorithm Hidden Markov model Bayesian inference Markov random field Belief propagation Statistics Graphical models Bayesian statistics
167	Anomaly Detection in GPS Data Based on Visual Analytics Zicheng Liao ∗ Yizhou Yu † Baoquan Chen ‡ Add to Reading List Source URL: web.engr.illinois.edu Language: English - Date: 2011-01-27 17:32:15 Knowledge Computational science Computer graphics Infographics Scientific modeling Conditional random field Data mining Anomaly detection Information extraction Science Technology Machine learning
168	Vietnamese Word Segmentation with CRFs and SVMs: An Investigation Cam-Tu Nguyen1, Trung-Kien Nguyen1, Xuan-Hieu Phan2 Le-Minh Nguyen2, and Quang-Thuy Ha1 2 Add to Reading List Source URL: jvnsegmenter.sourceforge.net Language: English - Date: 2007-03-24 11:17:34 Theoretical computer science Vietnamese language Statistical classification Support vector machine Syllable Vietnamese alphabet Part-of-speech tagging Text segmentation Pattern recognition Linguistics Machine learning Conditional random field
169	Conditional Random Fields with High-Order Features for Sequence Labeling Dan Wu Hai Leong Chieu Nan Ye Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2013-03-09 06:31:30 Probability and statistics Machine learning Conditional random field Theoretical computer science Markov chain Hidden Markov model Bayesian network Statistics Markov models Graphical models
170	Semi-Markov Conditional Random Field with High-Order Features Viet Cuong Nguyen Nan Ye Wee Sun Lee National University of Singapore Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2013-03-09 06:33:11 Theoretical computer science Statistics Learning Applied mathematics Hidden Markov model Sequence labeling Machine learning Markov models Conditional random field

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