Technical Program

GS-MLSP-O.1: Machine Learning for Signal Processing

Symposium: General Symposium
Session Type: Oral
Time: Tuesday, November 14, 16:00 - 17:30
Location: Lachine
Session Chair: Paulo Diniz, Federal University of Rio de Janeiro
 
16:00 - 16:18
GS-MLSP-O.1.1: PERFORMANCE BENCHMARKS FOR DETECTION PROBLEMS
         Kelsie Larson; Purdue University
         Mireille Boutin; Purdue University
 
16:18 - 16:36
GS-MLSP-O.1.2: LEARNING FROM UNEQUALLY RELIABLE BLIND ENSEMBLES OF CLASSIFIERS
         Panagiotis A. Traganitis; University of Minnesota
         Alba Pag├Ęs-Zamora; Universitat Polit├Ęcnica de Catalunya BarcelonaTech
         Georgios B. Giannakis; University of Minnesota
 
16:36 - 16:54
GS-MLSP-O.1.3: COMBINATORIAL MULTI-ARMED BANDIT PROBLEM WITH PROBABILISTICALLY TRIGGERED ARMS: A CASE WITH BOUNDED REGRET
         Anil Omer Saritac; Bilkent University
         Cem Tekin; Bilkent University
 
16:54 - 17:12
GS-MLSP-O.1.4: ROBUST MULTIDIMENSIONAL SCALING EMPLOYING M-ESTIMATORS AND NUCLEAR NORM REGULARIZATION
         Fotios Mandanas; Aristotle University of Thessaloniki
         Constantine Kotropoulos; Aristotle University of Thessaloniki
 
17:12 - 17:30
GS-MLSP-O.1.5: DATA CENSORING WITH SET-MEMBERSHIP ALGORITHMS
         Paulo Sergio Ramirez Diniz; Federal University of Rio de Janeiro
         Hamed Yazdanpanah; Federal University of Rio de Janeiro