Discriminative Feature Selection via Multiclass Variable Memory Markov Model (2002)

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by Noam Slonim , Gill Bejerano , Shai Fine , Naftali Tishby
Venue:EURASIP Journal on Applied Signal Processing (JASP), Special issue on Unstructured Information Management from Multimedia Data Sources
Citations:10 - 1 self

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EURASIP Journal on Applied Signal Processing 2003:2, 93–102 c ○ 2003 Hindawi Publishing Corporation Discriminative Feature Selection via Multiclass Variable Memory Markov Model – Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tishby - 2002
Discriminative Variable Memory Markov Model – For Feature Selection, Noam Slonim, Shai Fine, Naftali Tishby - 2001
564 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
15 Relevance of Time-Frequency Features for Phonetic and Speaker-Channel Classification – Howard Hua Yang, Sarel Van Vuuren, Sangita Sharma, Hynek Hermansky - 2000
5 Mutual Information Methods for Evaluating Dependence Among Outputs in Learning Machines – Francesco Masulli, Francesco Masulli, Giorgio Valentini, Giorgio Valentini - 2001
iii TABLE OF CONTENTS – Kenneth E. Hild Ii, Kenneth E. Hild, Ii Acknowledgements - 2003
10 Nonlinear Feature Transforms Using Maximum Mutual Information – Kari Torkkola - 2001
11 Learning Discriminative Feature Transforms to Low Dimensions in Low Dimensions – Kari Torkkola - 2001
ML Hidden Markov Model – Bertrand Mesot, Segmental Hmm - 2005
249 Information-Theoretic Co-Clustering – Inderjit S. Dhillon, Subramanyam Mallela, Dharmendra S. Modha - 2003
7 Natural image statistics and low-complexity feature selection – Manuela Vasconcelos, Nuno Vasconcelos - 2009
18 Augmented Statistical Models for Classifying Sequence Data – Martin Layton - 2006
22 Speech Recognition Using Augmented Conditional Random Fields – Yasser Hifny, Steve Renals
1 Discriminative Adaptive Training and Bayesian Inference for Speech Recognition – Chandra Kant Raut - 2009
3 HMMS AND RELATED SPEECH RECOGNITION TECHNOLOGIES – Steve Young
doi:10.1155/2007/74895 Research Article Channel Selection and Feature Projection for Cognitive Load Estimation Using Ambulatory EEG – Tian Lan, Deniz Erdogmus, Andre Adami, Santosh Mathan, Misha Pavel
Input Variables Selection Using Mutual Information for Neuro Fuzzy Modeling with the Application to Time Series Forecasting – M. M. Rezaei Yousefi, M. Mirmomeni, C. Lucas
170 Hidden Markov processes – Yariv Ephraim, Neri Merhav - 2002
TR ITS 2005.38 – Mihai Gurban