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My ICASSP 2019 Schedule

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MLSP-P3: Learning Theory and Methods II

Session Type: Poster
Time: Tuesday, May 14, 17:30 - 19:30
Location: Poster Area G, East Landing, First Floor
Session Chair: Cedric Fevotte, Institut de Recherche en Informatique de Toulouse
 
  MLSP-P3.1: DISTRIBUTED DIFFERENTIALLY-PRIVATE CANONICAL CORRELATION ANALYSIS
         Hafiz Imtiaz; Rutgers University
         Anand D. Sarwate; Rutgers University
 
  MLSP-P3.2: A DEEP NEURAL NETWORK BASED MANEUVERING-TARGET TRACKING ALGORITHM
         Jingxian Liu; Beihang University
         Zulin Wang; Beihang University
         Mai Xu; Beihang University
         Jie Ren; Beihang University
 
  MLSP-P3.3: LEARNING TO FUSE LATENT REPRESENTATIONS FOR MULTIMODAL DATA
         Oyebade Oyedotun; University of Luxembourg
         Djamila Aouada; University of Luxembourg
         Björn Ottersten; University of Luxembourg
 
  MLSP-P3.4: FEATURE SELECTION FOR MUTLTI-LABELED VARIABLES VIA DEPENDENCY MAXIMIZATION
         Salimeh Yasaei Sekeh; University of Michigan
         Alfred O. Hero; University of Michigan
 
  MLSP-P3.5: PRUNING SIFT & SURF FOR EFFICIENT CLUSTERING OF NEAR-DUPLICATE IMAGES
         Tushar Shankar Shinde; Indian Institute of Technology Jodhpur
         Anil Kumar Tiwari; Indian Institute of Technology Jodhpur
 
  MLSP-P3.6: AUTOMATING THE CLASSIFICATION OF URBAN ISSUE REPORTS: AN OPTIMAL STOPPING APPROACH
         Yasitha Warahena Liyanage; University at Albany, State University of New York
         Daphney-Stavroula Zois; University at Albany, State University of New York
         Charalampos Chelmis; University at Albany, State University of New York
         Mengfan Yao; University at Albany, State University of New York
 
  MLSP-P3.7: TENSOR-RING NUCLEAR NORM MINIMIZATION AND APPLICATION FOR VISUAL DATA COMPLETION
         Jinshi Yu; School of Automation, Guangdong University of Technology
         Chao Li; RIKEN Center for Advanced Intelligence Project
         Qibin Zhao; RIKEN Center for Advanced Intelligence Project
         Guoxu Zhou; School of Automation, Guangdong University of Technology
 
  MLSP-P3.8: EFFICIENT BAYESIAN MODEL SELECTION IN PARAFAC VIA STOCHASTIC THERMODYNAMIC INTEGRATION
         Thanh Huy Nguyen; Télécom ParisTech, Université Paris-Saclay
         Umut Şimşekli; Télécom ParisTech, Université Paris-Saclay
         Gaël Richard; Télécom ParisTech, Université Paris-Saclay
         Ali Taylan Cemgil; Boğaziçi University
 
  MLSP-P3.9: SUPERVISED KERNEL CHANGE POINT DETECTION WITH PARTIAL ANNOTATIONS
         Charles Truong; CMLA, ENS Cachan, CNRS, Université Paris-Saclay
         Laurent Oudre; L2TI, Université Paris 13
         Nicolas Vayatis; CMLA, ENS Cachan, CNRS, Université Paris-Saclay
 
  MLSP-P3.10: ON ANALYSIS OF ACTIVE QUERYING FOR RECURSIVE STATE ESTIMATION
         Aziz Koçanaoğulları; Northeastern University
         Murat Akçakaya; Northeastern University
         Deniz Erdoğmuş; Northeastern University
 
  MLSP-P3.11: AUTOMATIC KERNEL WEIGHTING FOR MULTIKERNEL ADAPTIVE FILTERING: MULTISCALE ASPECTS
         Kwangjin Jeong; Keio University
         Masahiro Yukawa; Keio University
 
  MLSP-P3.12: OPTIMAL QUERY SELECTION USING MULTI ARMED BANDITS
         Aziz Koçanaoğulları; Northeastern University
         Yeganeh M. Marghi; Northeastern University
         Murat Akçakaya; University of Pittsburgh
         Deniz Erdoğmuş; Northeastern University
 
  MLSP-P3.13: PHAST: MODEL-FREE PHASELESS SUBSPACE TRACKING
         Seyedehsara Nayer; Iowa State University
         Namrata Vaswani; Iowa State University