My ICASSP 2009 Schedule

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Paper Detail

Paper:MLSP-P3.6
Session:Statistical Modelling Techniques
Session Time:Wednesday, April 22, 15:30 - 17:30
Presentation Time:Wednesday, April 22, 15:30 - 17:30
Presentation: Poster
Topic: Machine Learning for Signal Processing: Bayesian Learning and Modeling
Paper Title: A MAP APPROACH TO LEARNING SPARSE GAUSSIAN MARKOV NETWORKS
Authors: Narges Bani Asadi; Stanford University 
 Irina Rish; IBM T. J. Watson Research Center 
 Katya Scheinberg; IBM T. J. Watson Research Center 
 Dimitri Kanevsky; IBM T. J. Watson Research Center 
 Bhuvana Ramabhadran; IBM T. J. Watson Research Center 



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