MLSP-L2: Learning Theory and Models I |
Session Type: Lecture |
Time: Wednesday, March 17, 13:30 - 15:30 |
Location: Room D3 |
Session Chair: Jan Larsen, Technical University of Denmark |
MLSP-L2.1: FIXED-BUDGET KERNEL RECURSIVE LEAST-SQUARES |
Steven Van Vaerenbergh; University of Cantabria |
Ignacio Santamaria; University of Cantabria |
Weifeng Liu; Amazon.com |
Jose C. Principe; University of Florida |
MLSP-L2.2: FLEXIBLE ADAPTIVE FILTERING BY MINIMIZATION OF ERROR ENTROPY BOUND AND ITS APPLICATION TO SYSTEM IDENTIFICATION |
Xi-Lin Li; University of Maryland, Baltimore County |
Tulay Adali; University of Maryland, Baltimore County |
MLSP-L2.3: CONVERGENCE ANALYSIS OF CONSENSUS-BASED DISTRIBUTED CLUSTERING |
Pedro A. Forero; University of Minnesota |
Alfonso Cano; University of Minnesota |
Georgios B. Giannakis; University of Minnesota |
MLSP-L2.4: SUPERVISED TOPIC MODEL FOR AUTOMATIC IMAGE ANNOTATION |
Duangmanee Putthividhya; University of California, San Diego |
Hagai Attias; Golden Metallic, Inc. |
Srikantan Nagarajan; University of California, San Francisco |
MLSP-L2.5: ASYMPTOTIC ANALYSIS OF THE HUBERIZED LASSO ESTIMATOR |
Xiaohui Chen; University of British Columbia |
Z.Jane Wang; University of British Columbia |
Martin McKeown; University of British Columbia |
MLSP-L2.6: A MINIMAX APPROACH TO BAYESIAN ESTIMATION WITH PARTIAL KNOWLEDGE OF THE OBSERVATION MODEL |
Tomer Michaeli; Technion - Israel Institute of Technology |
Yonina Eldar; Technion - Israel Institute of Technology |