Technical Program
MLSP-L1: Sparse Models |
Session Type: Lecture |
Time: Tuesday, May 28, 10:50 - 12:50 |
Location: Room 119/120 |
Session Chair: Kenneth Kreutz-Delgado, UCSD |
MLSP-L1.1: ADAPTIVE SENSING WITH STRUCTURED SPARSITY |
Nikhil Rao; University of Wisconsin |
Gongguo Tang; University of Wisconsin |
Robert Nowak; University of Wisconsin |
MLSP-L1.2: LEARNING OVERCOMPLETE SPARSIFYING TRANSFORMS FOR SIGNAL PROCESSING |
Saiprasad Ravishankar; University of Illinois |
Yoram Bresler; University of Illinois |
MLSP-L1.3: FITTING SPARSE GAUSSIAN FUNCTION MIXTURES ON POWER SPECTRA |
Luis Weruaga; Khalifa University |
Javier Vía; Universidad de Cantabria |
MLSP-L1.4: SPARSE HIDDEN MARKOV MODELS FOR PURER CLUSTERS |
Sujeeth Bharadwaj; University of Illinois at Urbana-Champaign |
Mark Hasegawa-Johnson; University of Illinois at Urbana-Champaign |
Jitendra Ajmera; IBM Research - India |
Om Deshmukh; IBM Research - India |
Ashish Verma; IBM Research - India |
MLSP-L1.5: HIERARCHICAL SPARSE MODELING USING SPIKE AND SLAB PRIORS |
Yuanming Suo; Johns Hopkins University |
Minh Dao; Johns Hopkins University |
Trac Tran; Johns Hopkins University |
Umamahesh Srinivas; Pennsylvania State University |
Vishal Monga; Pennsylvania State University |
MLSP-L1.6: SIMULTANEOUS TRACKING AND SPARSE CALIBRATION IN GROUND SENSOR NETWORKS USING EVIDENCE APPROXIMATION |
Marek Syldatk; Linköping University |
Fredrik Gustafsson; Linköping University |