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Discriminative model
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#	Item
81	Structured Discriminative Models for Speech Recognition Mark Gales with Martin Layton, Anton Ragni, Austin Zhang, Rogier van Dalen December 2012 Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2012-12-10 23:15:25 Markov models Computational linguistics Probability and statistics Discriminative model Artificial intelligence Generative model Hidden Markov model Speech recognition Machine learning Statistics Statistical models
82	Discriminative Transfer Learning with Tree-based Priors Nitish Srivastava Department of Computer Science University of Toronto [removed] Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-11-19 21:11:36 One-shot learning Supervised learning Logistic regression Pattern recognition Statistical classification Hierarchical Bayes model Statistics Machine learning Artificial intelligence
83	A Discriminative Latent Model of Object Classes and Attributes Yang Wang and Greg Mori School of Computing Science, Simon Fraser University, Canada {ywang12,mori}@cs.sfu.ca Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2010-06-22 13:55:39 Function Support vector machine Dynamic programming Vertex Attribute Statistical classification Variable and attribute Rough set Mathematics Statistics Machine learning
84	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
85	Learning Scalable Discriminative Dictionary with Sample Relatedness Jiashi Feng1,2 , Stefanie Jegelka2 , Shuicheng Yan1 , Trevor Darrell2 1 Department of ECE, National University of Singapore, Singapore 2 Department of E Add to Reading List Source URL: www.cv-foundation.org Language: English - Date: 2014-05-18 15:54:55 Artificial intelligence Linear classifier Discriminative model Fisher kernel K-nearest neighbor algorithm Concept learning Support vector machine Statistic Statistics Machine learning Statistical classification
86	Discriminative Training of Hyper-feature Models for Object Identification∗ Vidit Jain1 , Andras Ferencz2 and Erik Learned-Miller1 1 University of Massachusetts Amherst, Amherst MA USA 2 MobilEye Vision Technologies, Ha Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2008-01-02 15:36:20 Generative model Supervised learning Linear classifier Discriminative model Mutual information Naive Bayes classifier Linear regression Regression analysis Cross-validation Statistics Machine learning Pattern recognition
87	INTERSPEECH[removed]Investigations on Error Minimizing Training Criteria for Discriminative Training in Automatic Speech Recognition Wolfgang Macherey, Lars Haferkamp, Ralf Schl¨uter, Hermann Ney Lehrstuhl f¨ur Informati Add to Reading List Source URL: www-i6.informatik.rwth-aachen.de Language: English Computer accessibility Speech recognition Mutual information Word error rate Science Criterion Language model Linguistics Computational linguistics Humanâ€“computer interaction Automatic identification and data capture
88	Discriminative Training with Tied Covariance Matrices Wolfgang Macherey, Ralf Schl¨uter, and Hermann Ney Lehrstuhl f¨ur Informatik VI, Computer Science Department RWTH Aachen University, 52056 Aachen, Germany {w.macher Add to Reading List Source URL: www-i6.informatik.rwth-aachen.de Language: English Mutual information Markov models Bioinformatics Hidden Markov model
89	COMPARISON OF DISCRIMINATIVE TRAINING CRITERIA Ralf Schl¨uter and Wolfgang Macherey Lehrstuhl f¨ur Informatik VI RWTH Aachen – University of Technology D[removed]Aachen, Germany Email: [removed]-aachen. Add to Reading List Source URL: www-i6.informatik.rwth-aachen.de Language: English Computer accessibility Speech recognition Hidden Markov model Mixture distribution Mutual information SL Applied mathematics Science Humanâ€“computer interaction Computational linguistics Markov models Automatic identification and data capture
90	COMPARISON OF OPTIMIZATION METHODS FOR DISCRIMINATIVE TRAINING CRITERIA R. Schluter, W. Macherey, S. Kanthak, H. Ney, L. Welling Lehrstuhl fur Informatik VI RWTH Aachen { University of Technology D[removed]Aachen, German Add to Reading List Source URL: www-i6.informatik.rwth-aachen.de Language: English Information Computational linguistics Automatic identification and data capture Computer accessibility Speech recognition Mutual information EBW Hidden Markov model Mathematical optimization Information science Markov models Science

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