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 |