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My ICASSP 2016 Schedule

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MLSP-L3: Classification and Pattern Recognition II

Session Type: Lecture
Time: Thursday, March 24, 13:30 - 15:30
Location: Room 3C+3D
Session Chair: Wee Peng Tay, Nanyang Technological University
 
  MLSP-L3.1: DATA-WEIGHTED ENSEMBLE LEARNING FOR PRIVACY-PRESERVING DISTRIBUTED LEARNING
         Liyang Xie; Rutgers, The State University of New Jersey
         Sergey Plis; The Mind Research Network
         Anand D. Sarwate; Rutgers, The State University of New Jersey
 
  MLSP-L3.2: ON PROJECTED STOCHASTIC GRADIENT DESCENT ALGORITHM WITH WEIGHTED AVERAGING FOR LEAST SQUARES REGRESSION
         Kobi Cohen; Ben-Gurion University of the Negev
         Angelia Nedic; University of Illinois at Urbana-Champaign
         R. Srikant; University of Illinois at Urbana-Champaign
 
  MLSP-L3.3: ADAPTIVE MARGIN SLACK MINIMIZATION IN RKHS FOR CLASSIFICATION
         Yinan Yu; Chalmers University of Technology
         Konstantinos Diamantaras; TEI of Thessaloniki
         Tomas McKelvey; Chalmers University of Technology
         S.Y. Kung; Princeton University
 
  MLSP-L3.4: NOISE ROBUST RECOGNITION METHOD BASED ON SCATTERER PATTERN FOR RADAR HRRP DATA
         Hua He; Xidian University
         Lan Du; Xidian University
         Penghui Wang; Xidian University
         Hongwei Liu; Xidian University
 
  MLSP-L3.5: ASKING FOR A SECOND OPINION: RE-QUERYING OF NOISY MULTI-CLASS LABELS
         Jack Stokes; Microsoft Research
         Ashish Kapoor; Microsoft Research
         Debajyoti Ray; VideoAmp
 
  MLSP-L3.6: COMBINING SOFT DECISIONS OF SEVERAL UNRELIABLE EXPERTS
         Jacob Goldberger; Bar-Ilan University
 

ICASSP 2016 Patrons