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 |