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Results: 650

#	Item
521	Object Recognition by Combining Appearance and Geometry David Crandall1 , Pedro Felzenszwalb2 , and Daniel Huttenlocher1 1 Cornell University Add to Reading List Source URL: people.cs.uchicago.edu Language: English - Date: 2005-11-01 23:33:46 Object recognition Markov random field Applied mathematics Computer vision Probability Artificial intelligence
522	Chapter VII HPMS Field Manual May[removed]CHAPTER VII Add to Reading List Source URL: www.fhwa.dot.gov Language: English - Date: 2006-04-17 09:46:08 Random sample Sample Inventory Stratified sampling Statistical power Statistics Sampling Annual average daily traffic
523	Polyhedral Outer Approximations with Application to Natural Language Parsing Andr´ e F. T. Martins†‡ Noah A. Smith† Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:16:37 Theoretical computer science Combinatory logic Lambda calculus Logic in computer science Conditional random field Belief propagation Logarithm Mathematics Graphical models Applied mathematics
524	Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data Charles Sutton Khashayar Rohanimanesh Andrew McCallum Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:19:43 Probability and statistics Probability Machine learning Bayesian statistics Statistical models Conditional random field Sequence labeling Hidden Markov model Part-of-speech tagging Statistics Markov models Graphical models
525	Laplace Maximum Margin Markov Networks Jun Zhu†∗ [removed] Eric P. Xing† [removed] Bo Zhang∗ Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-05-21 03:17:20 Machine learning Graphical models Conditional random field Theoretical computer science Kullback–Leibler divergence Pattern recognition Gibbs sampling Support vector machine Principle of maximum entropy Statistics Statistical theory Bayesian statistics
526	Approximate Inference by Markov Chains on Union Spaces Max Welling [removed] Michal Rosen-Zvi [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:20:45 Markov models Statistical models Probability theory Networks Belief propagation Markov chain Markov random field Stochastic process Normal distribution Statistics Probability and statistics Graphical models
527	Exploiting Sparse Markov and Covariance Structure in Multiresolution Models Myung Jin Choi MYUNGJIN @ MIT. EDU Venkat Chandrasekaran VENKATC @ MIT. EDU Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:17:21 Covariance and correlation Algebra of random variables Graphical models Covariance matrix Markov random field Multivariate normal distribution Sparse matrix Matrix Normal distribution Statistics Probability theory Data analysis
528	HPMS Field Manual Appendix G May 2005 Appendix G HPMS Field Manual Add to Reading List Source URL: www.fhwa.dot.gov Language: English - Date: 2006-03-31 15:08:53 Non-attainment area Clean Air Act Survey methodology National Ambient Air Quality Standards Annual average daily traffic Stratified sampling Sample size determination Random sample Statistics Sampling Air pollution in the United States
529	A Conditional Random Field for Multiple-Instance Learning Thomas Deselaers Vittorio Ferrari Computer Vision Laboratory, ETH Zurich, Zurich, Switzerland Add to Reading List Source URL: www.icml2010.org Language: English - Date: 2010-06-13 09:06:57 Support vector machine Machine learning Multiple-instance learning Statistical classification
530	Context and Hierarchy in a Probabilistic Image Model Ya Jin Division of Applied Mathematics Brown University Stuart Geman Add to Reading List Source URL: www.dam.brown.edu Language: English - Date: 2006-09-25 21:19:54 Bayesian statistics Probability and statistics Graphical models Networks Markov property Markov random field BRICKS Pattern recognition Bayesian network Statistics Statistical models Machine learning

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