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Random field
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#	Item
291	Texture Synthesis and Unsupervised Recognition with a Nonparametric Multiscale Markov Random Field Model Rupert Paget and I. Dennis Longstaff Cooperative Research Centre for Sensor, Signal, and Information Processing Dep Add to Reading List Source URL: www.texturesynthesis.com Language: English - Date: 2009-01-20 18:02:35 Probability theory Segmentation Markov random field Texture Random field Pattern recognition Non-parametric statistics Statistics Texture synthesis Image processing
292	Centre for Sensor Signal & Information Processing Dept. Electrical & Computer Engineering The University of Queensland, QLD[removed]SC I EN Add to Reading List Source URL: www.texturesynthesis.com Language: English - Date: 2009-01-20 18:05:49 Science Texture mapping Segmentation Texture Markov random field Scientific method Applied mathematics 3D computer graphics Image processing Texture synthesis
293	Microsoft Word - Paget-Publications_Web.doc Add to Reading List Source URL: www.texturesynthesis.com Language: English - Date: 2009-01-15 17:01:43 Markov random field Institute of Electrical and Electronics Engineers Applied mathematics Science Engineering Texture synthesis Artificial intelligence IAPR
294	STAT 535 Lecture 4 Graphical representations of conditional independence Part I Markov Random Fields c Marina Meil˘a Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-01-27 13:05:09 Bayesian statistics Statistical models Graph operations Markov random field Clique Factor graph Bayesian network Tree decomposition Tree Graph theory Graphical models Networks
295	STAT 535 Lecture 4 Graphical representations of conditional independence Part II Bayesian Networks c Marina Meil˘a Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-02-03 12:49:46 Ancestral graph Markov random field Graph Directed acyclic graph Connectivity Moral graph Markov chain Path decomposition Graph theory Graphical models Bayesian network
296	STAT 538 Lecture 4.0 Independence and conditional independence c Marina Meil˘a [removed] Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-01-27 12:59:57 Independence Bayesian network Conditional probability Conditional independence Markov random field Graphical model Mutual information Joint probability distribution Multivariate normal distribution Probability theory Statistics Probability
297	STAT 535 Lecture 4.3 Decomposable graphical models, triangulation and the Junction Tree c Marina Meil˘a Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-02-03 12:54:11 Clique Tree decomposition Graphical model Markov random field Graph Minimum spanning tree Decomposition method Path decomposition Graph theory Graph operations Chordal graph
298	3-5 Total Radiated Power of Radio Transmitters Measured in a Reverberation Chamber HARIMA Katsushige, SUGIYAMA Tsutomu, YAMANAKA Yukio, and SHINOZUKA Takashi A random electromagnetic field is created in a reverberation c Add to Reading List Source URL: www.nict.go.jp Language: English - Date: 2013-11-21 19:12:25 Electronic engineering Electromagnetic reverberation chamber Electronics Antenna gain Antenna Reverberation Electromagnetic compatibility Electromagnetic interference Antenna measurement Acoustics Electromagnetic radiation Electromagnetism
299	Perturb-and-MAP Random Fields: Using Discrete Optimization to Learn and Sample from Energy Models George Papandreou1 and Alan L. Yuille1,2 Department of Statistics, University of California, Los Angeles 2 Department of B Add to Reading List Source URL: www.stat.ucla.edu Language: English - Date: 2011-11-01 22:20:35 Statistical inference Probability theory Bayesian statistics Markov random field Maximum likelihood Gumbel distribution Expectation–maximization algorithm Perturbation theory Kullback–Leibler divergence Statistics Estimation theory Statistical theory
300	Speeding Up Belief Propagation for Early Vision Daniel Huttenlocher MSRI Low Level Vision Workshop February, 2005 Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2005-03-04 15:26:14 Belief propagation Coding theory Applied mathematics Networks Markov random field Optical flow Probability and statistics Graphical models Probability theory Mathematics

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