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MLSP-P3: Statistical Modelling Techniques

Session Type: Poster
Time: Wednesday, April 22, 15:30 - 17:30
Location: Poster Area A, TICC
Session Chair: Danilo Mandic, Imperial College London
 
  MLSP-P3.1: MAXIMUM-LIKELIHOOD ESTIMATION OF AUTOREGRESSIVE MODELS WITH CONDITIONAL INDEPENDENCE CONSTRAINTS
         Jitkomut Songsiri; University of California, Los Angeles
         Joachim Dahl; Aalborg University
         Lieven Vandenberghe; University of California, Los Angeles
 
  MLSP-P3.2: SPARSE DECOMPOSITION OF MIXED AUDIO SIGNALS BY BASIS PURSUIT WITH AUTOREGRESSIVE MODELS
         Youngmin Cho; University of California, San Diego
         Lawrence Saul; University of California, San Diego
 
  MLSP-P3.3: USING THE SCALING AMBIGUITY FOR FILTER SHORTENING IN CONVOLUTIVE BLIND SOURCE SEPARATION
         Radoslaw Mazur; University of Luebeck
         Alfred Mertins; University of Luebeck
 
  MLSP-P3.4: A MULTISTAGE APPROACH FOR BLIND SEPARATION OF CONVOLUTIVE SPEECH MIXTURES
         Tariqullah Jan; University of Surrey
         Wenwu Wang; University of Surrey
         DeLiang Wang; The Ohio State University
 
  MLSP-P3.5: GRAPHICAL MODELS: STATISTICAL INFERENCE VS. DETERMINATION
         Joachim Schenk; Technische Universität München
         Benedikt Hörnler; Technische Universität München
         Artur Braun; Technische Universität München
         Gerhard Rigoll; Technische Universität München
 
  MLSP-P3.6: A MAP APPROACH TO LEARNING SPARSE GAUSSIAN MARKOV NETWORKS
         Narges Bani Asadi; Stanford University
         Irina Rish; IBM T. J. Watson Research Center
         Katya Scheinberg; IBM T. J. Watson Research Center
         Dimitri Kanevsky; IBM T. J. Watson Research Center
         Bhuvana Ramabhadran; IBM T. J. Watson Research Center
 
  MLSP-P3.7: A GENERALIZED FAMILY OF PARAMETER ESTIMATION TECHNQUES
         Dimitri Kanevsky; IBM T. J. Watson Research Center
         Tara Sainath; MIT Computer Science and Artificial Intelligence Laboratory
         Bhuvana Ramabhadran; IBM T. J. Watson Research Center
 
  MLSP-P3.8: DUALITY BETWEEN WIDELY LINEAR AND DUAL CHANNEL ADAPTIVE FILTERING
         Danilo Mandic; Imperial College London
         Susanne Still; University of Hawaii at Manoa
         Scott Douglas; Southern Methodist University
 
  MLSP-P3.9: A SEMI-BLIND EM ALGORITHM FOR OVERCOMPLETE ICA
         Qiuhua Lin; Dalian University of Technology
         Ning Xu; Dalian University of Technology
         Hualou Liang; University of Texas at Houston
 
  MLSP-P3.10: FAST DEPENDENT COMPONENTS FOR FMRI ANALYSIS
         Eerika Savia; Helsinki University of Technology
         Arto Klami; Helsinki University of Technology
         Samuel Kaski; Helsinki University of Technology
 
  MLSP-P3.11: A WEIGHTED LOGARITHMIC MERIT FUNCTION FOR CANONICAL CORRELATION ANALYSIS
         Mohammed Hasan; University of Minnesota Duluth
 
  MLSP-P3.12: A SPLIT QUATERNION NONLINEAR ADAPTIVE FILTER
         Che Ahmad Bukhari Che Ujang; Imperial College London
         Clive Cheong Took; Imperial College London
         Alek Kavcic; University of Hawaii
         Danilo Mandic; Imperial College London
 

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