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Results: 650

#	Item
301	Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials ¨ Philipp Kr¨ahenbuhl Computer Science Department Add to Reading List Source URL: graphics.stanford.edu Language: English - Date: 2012-10-20 12:40:10 Computer vision Conditional random field Machine learning Mathematics Applied mathematics Segmentation Artificial intelligence Gaussian function Graph cuts in computer vision Image processing Graphical models Theoretical computer science
302	Kernel Measures of Independence for non-iid Data∗ Le Song† School of Computer Science Carnegie Mellon University, Pittsburgh, USA [removed] Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2009-06-21 14:46:47 Covariance and correlation Hilbert space Information theory Mutual information Covariance Reproducing kernel Hilbert space Convolution Markov random field Mathematical analysis Mathematics Abstract algebra
303	Spanning Tree Approximations for Conditional Random Fields Patrick Pletscher Department of Computer Science ETH Zurich, Switzerland [removed] Add to Reading List Source URL: www.ong-home.my Language: English - Date: 2013-12-12 02:50:01 Graphical models Probability and statistics Statistical theory Bayesian statistics M-estimators Maximum likelihood Conditional random field Belief propagation Likelihood function Statistics Estimation theory Mathematics
304	Machine Transliteration using Target-Language Grapheme and Phoneme: Multi-engine Transliteration Approach Jong-Hoon Oh, Kiyotaka Uchimoto, and Kentaro Torisawa Language Infrastructure Group, MASTAR Project, National Inst Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2010-06-15 09:22:58 Transliteration Romanization Grapheme Conditional random field Machine learning Translit Linguistics Orthography Western calligraphy
305	Generic Methods for Optimization-Based Modeling Justin Domke Rochester Institute of Technology Abstract Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2012-05-24 15:13:47 Image processing Spatial data analysis Mathematical optimization Coordinate descent Limited-memory BFGS BFGS method Gradient descent Conditional random field Conjugate gradient method Numerical analysis Machine learning Image denoising
306	From Fields to Trees Firas Hamze Nando de Freitas Add to Reading List Source URL: www.cs.ubc.ca Language: English - Date: 2005-06-05 23:33:23 Markov models Estimation theory Estimator Variance Gibbs sampling Markov random field Markov chain Statistics Statistical inference Probability theory
307	Efficient Belief Propagation with Learned Higher-order Markov Random Fields Xiangyang Lan1 , Stefan Roth2 , Daniel Huttenlocher1 , and Michael J. Black2 1 2 Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2006-02-18 12:41:03 Graph theory Probability theory Probability and statistics Theoretical computer science Networks Markov random field Belief propagation Factor graph Image denoising Graphical models Statistics Image processing
308	Accelerated Training of Max-Margin Markov Networks with Kernels Xinhua Zhang University of Alberta Alberta Innovates Centre for Machine Learning (AICML) Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-10-07 08:24:22 Statistics Applied mathematics Artificial intelligence Markov random field Networks Probability and statistics Conditional random field Hinge loss Machine learning Graphical models Theoretical computer science
309	Symbolic Methods for Probabilistic Inference, Optimization, and Decision-making Scott Sanner With much thanks to research collaborators: Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2013-07-15 00:45:08 Probability and statistics Bayesian statistics Applied mathematics Probability theory Diagrams Bayesian network Markov random field Influence diagram Mathematical optimization Graphical models Networks Statistics
310	Sparse Long-Range Random Field and its Application to Image Denoising Yunpeng Li and Daniel P. Huttenlocher Department of Computer Science, Cornell University, Ithaca, NY 14853 {yuli,dph}@cs.cornell.edu Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2008-07-27 07:55:12 Bayesian statistics Artificial intelligence Markov random field Theoretical computer science Clique Noise reduction Markov model Clique problem Community structure Graph theory Networks Graphical models

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