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Conditional random field
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#	Item
191	A Rate Distortion Approach for Semi-Supervised Conditional Random Fields Yang Wang†∗ Gholamreza Haffari†∗ † School of Computing Science Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2009-12-01 15:40:06 Information Mutual information Rate–distortion theory Supervised learning Information bottleneck method Conditional entropy Entropy Semi-supervised learning Conditional random field Information theory Machine learning Statistics
192	Beyond Actions: Discriminative Models for Contextual Group Activities Tian Lan School of Computing Science Simon Fraser University Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2010-10-04 18:25:33 Symmetry Graph theory Function Graph Group action Conditional random field Representation Causality Support vector machine Mathematics Statistics Group theory
193	Max-Margin Hidden Conditional Random Fields for Human Action Recognition Yang Wang School of Computing Science Simon Fraser University, Canada Greg Mori Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2009-03-18 12:34:49 Support vector machines Science Theoretical computer science Machine learning Model theory Structured SVM Conditional random field Mathematical optimization Linear programming Mathematics Applied mathematics Operations research
194	A CONFIDENCE-BASED APPROACH FOR IMPROVING KEYWORD HYPOTHESIS SCORES M.S. Seigel, P.C. Woodland and M.J.F. Gales Cambridge University Engineering Department, Trumpington Street, Cambridge, CB2 1PZ, UK {mss46,pcw,mjfg}@eng Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-06-13 06:59:26 Computational linguistics Graphical models Econometrics Machine learning Statistical inference Speech recognition Conditional random field Confidence interval Lattice Information Statistics Science
195	A Discriminative Latent Model of Image Region and Object Tag Correspondence Yang Wang∗ Department of Computer Science University of Illinois at Urbana-Champaign Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2010-09-27 14:31:07 Artificial intelligence Statistical classification Annotation Writing Information Mutual information Conditional random field Support vector machine Pattern recognition Machine learning Statistics Reference
196	Shallow Parsing with Conditional Random Fields Fei Sha and Fernando Pereira Department of Computer and Information Science University of Pennsylvania 200 South 33rd Street, Philadelphia, PA[removed]feisha\|pereira)@cis.upe Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2011-08-01 12:49:02 Numerical linear algebra Machine learning Conditional random field Theoretical computer science Statistical classification Perceptron Linear classifier Limited-memory BFGS Preconditioner Statistics Mathematics Applied mathematics
197	Grammarless Parsing for Joint Inference J ason N ar adowsk y 1,2 T im V ieir a3 David A. Smi th4 (1) University of Massachusetts Amherst, Amherst, Massachusetts (2) Macquarie University, Sydney, Australia (3) Johns Hopki Add to Reading List Source URL: www.ccs.neu.edu Language: English - Date: 2012-11-12 13:34:19 Theoretical computer science Probability Formal languages Probability theory Compiler construction Conditional random field Belief propagation Factor graph Markov random field Graphical models Mathematics Applied mathematics
198	The Information Extraction systems of PRIS at Temporal Summarization Track Chunyun Zhang, Weiyan Xu, Fanyu Meng, Hongyan Li, Tong Wu, Lixin Xu Abstract: This paper describ Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2014-02-28 12:39:27 Computational linguistics Information retrieval Artificial intelligence Information extraction Theoretical computer science Search engine indexing Conditional random field Automatic summarization Information science Science Natural language processing
199	The Shape-Time Random Field for Semantic Video Labeling Andrew Kae, Benjamin Marlin, Erik Learned-Miller School of Computer Science University of Massachusetts, Amherst MA, USA {akae,marlin,elm}@cs.umass.edu Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2014-05-13 10:40:23 Statistical models Probability and statistics Conditional random field Theoretical computer science Boltzmann machine Applied mathematics Generative model Ludwig Boltzmann Segmentation Machine learning Graphical models Statistics
200	Generating conditional realizations of graphs and fields using Markov chain Monte Carlo J. Ray jairay [at] sandia [dot] gov Sandia National Laboratories, Livermore, CA Add to Reading List Source URL: math.nist.gov Language: English - Date: 2012-11-05 12:58:08 Networks Random graphs Markov random field Graph theory Markov chain Graph

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