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My ICASSP 2013 Schedule

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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