Technical Program

Paper Detail

Paper:MLSP-P4.1
Session:Learning Theory and Algorithms II
Location:Poster Area E
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, Rabab Ward, The University of British Columbia, Canada; Li Deng, Microsoft Research, United States