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My ICASSP 2013 Schedule

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SPTM-L3: Learning in Distributed Networks

Session Type: Lecture
Time: Wednesday, May 29, 08:00 - 10:00
Location: Room 109
Session Chair: Ali Sayed, Univeristy of California, Los Angeles
 
  SPTM-L3.1: ADAPTIVE LINK SELECTION STRATEGIES FOR DISTRIBUTED ESTIMATION IN DIFFUSION WIRELESS NETWORKS
         Songcen Xu; University of York
         Rodrigo Caiado de Lamare; The University of York
         H. Vincent Poor; Princeton University
 
  SPTM-L3.2: DISTRIBUTED INFERENCE OVER REGRESSION AND CLASSIFICATION MODELS
         Zaid Towfic; University of California, Los Angeles
         Jianshu Chen; University of California, Los Angeles
         Ali H. Sayed; University of California, Los Angeles
 
  SPTM-L3.3: THRESHOLD BEHAVIOR OF EPIDEMICS IN REGULAR NETWORKS
         June Zhang; Carnegie Mellon University
         José M.F. Moura; Carnegie Mellon University
 
  SPTM-L3.4: A GREEDY SPARSITY–PROMOTING LMS FOR DISTRIBUTED ADAPTIVE LEARNING IN DIFFUSION NETWORKS
         Symeon Chouvardas; University of Athens
         Gerasimos Mileounis; University of Athens
         Nicholas Kalouptsidis; University of Athens
         Sergios Theodoridis; University of Athens
 
  SPTM-L3.5: A PROXIMAL SPLITTING APPROACH TO REGULARIZED DISTRIBUTED ADAPTIVE ESTIMATION IN DIFFUSION NETWORKS
         Wemer Wee; Tokyo Institute of Technology
         Isao Yamada; Tokyo Institute of Technology
 
  SPTM-L3.6: DISTRIBUTED INCREMENTAL-BASED LMS FOR NODE-SPECIFIC PARAMETER ESTIMATION OVER ADAPTIVE NETWORKS
         Nikola Bogdanovic; University of Patras
         Jorge Plata-Chaves; University of Patras
         Kostas Berberidis; University of Patras