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#	Item
341	Semiconductor Chips for Digital Consumer Field Development of Baseband LSI (M2) Enabling High-Speed Communication for Handsets TANAKA Hideo, NAKAYAMA Takashi, TOKUE Tatsuya Abstract Add to Reading List Source URL: www.nec.com Language: English - Date: 2013-10-01 21:36:01 Semiconductor devices ARM architecture Digital electronics Central processing unit Tegra Renesas Electronics Universal Mobile Telecommunications System Leakage Random-access memory Electronic engineering Electrical engineering Technology
342	International Initiative for Impact Evaluation (3ie) Email: [removed] Web http://www.3ieimpact.org Indirect-cost guidelines for grant applicants Background Add to Reading List Source URL: www.3ieimpact.org Language: English - Date: 2014-09-15 10:52:57 Networks Bayesian statistics Statistical models Markov models Markov random field Markov chain Maximum likelihood Maths24 COMPASS/Sample Code Statistics Probability and statistics Graphical models
343	CS 294-2, Visual Grouping and Recognition (Prof. Jitendra Malik) Sept. 8, 1999 Lecture #6 (Bayesian estimation and MRF) DRAFT Note by Xunlei Wu Bayesian Philosophy Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2003-07-25 14:52:15 Networks Bayesian statistics Statistical models Markov models Markov random field Markov chain Maximum likelihood Maths24 COMPASS/Sample Code Statistics Probability and statistics Graphical models
344	Semi-Markov Conditional Random Fields for Information Extraction Sunita Sarawagi Indian Institute of Technology Bombay, India [removed] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2004-06-07 09:08:44 Graphical models Theoretical computer science Applied mathematics Markov processes Machine learning Conditional random field Markov chain Perceptron Hidden Markov model Statistics Markov models Science
345	Discriminative Probabilistic Models for Relational Data Ben Taskar Computer Science Dept. Stanford University Stanford, CA 94305 Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2005-10-04 19:14:15 Graphical models Probability and statistics Bayesian statistics Probability Theoretical computer science Generative model Markov random field Pattern recognition Bayesian network Machine learning Statistics Statistical models
346	Online Figure-ground Segmentation with Edge Pixel Classification Zhaozheng Yin Robert T. Collins Department of Computer Science and Engineering The Pennsylvania State University, USA Add to Reading List Source URL: www.bmva.org Language: English - Date: 2012-02-07 06:33:30 Vision Thresholding Artificial intelligence Applied mathematics Motion analysis Conditional random field Graph cuts in computer vision Kadir–Brady saliency detector Image processing Computer vision Segmentation
347	From n-gram-based to CRF-based Translation Models Thomas Lavergne Josep Maria Crego Alexandre Allauzen Franc¸ois Yvon LIMSI/CNRS & Uni. Paris Sud LIMSI/CNRS BP 133 BP 133 Add to Reading List Source URL: www.statmt.org Language: English - Date: 2011-07-13 10:08:08 Computational linguistics Machine translation Statistical natural language processing Speech recognition N-gram Statistical machine translation Conditional random field Moses Synchronous context-free grammar Linguistics Science Natural language processing
348	Microsoft Word - paper-ISMB_revised-zkou.doc Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2005-03-17 15:21:31 Probability Bioinformatics Hidden Markov model Maximum-entropy Markov model Part-of-speech tagging Viterbi algorithm Conditional random field DICT Precision and recall Statistics Markov models Probability and statistics
349	Online Stacked Graphical Learning Zhenzhen Kou Vitor R. Carvalho William W. Cohen Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2008-01-03 13:55:05 Statistical models Learning Conditional random field Theoretical computer science Graphical model Relational model E-learning Relational database Statistics Education Machine learning
350	Stacked Sequential Learning William W. Cohen Center for Automated Learning & Discovery School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-01-12 11:53:12 Science Statistics Conditional random field Theoretical computer science Learning Maximum-entropy Markov model Pattern recognition Hidden Markov model Information extraction Machine learning Markov models Artificial intelligence

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