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My ICASSP 2013 Schedule

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Paper Detail

Paper:.1
Session:Learning Theory and Algorithms II
Session Time:Wednesday, May 29, 15:20 - 17:20
Presentation Time:Wednesday, May 29, 15:20 - 17:20
Presentation: Poster
Topic: Machine Learning for Signal Processing: Neural network learning (MLR-NNLR)
Paper Title: USING DEEP STACKING NETWORK TO IMPROVE STRUCTURED COMPRESSED SENSING WITH MULTIPLE MEASUREMENT VECTORS
Authors: Hamid Palangi; The University of British Columbia 
 Rabab Ward; The University of British Columbia 
 Li Deng; Microsoft Research