Technical Program
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 |