MLSP-P2: Learning Theory and Modeling |
| Session Type: Poster |
| Time: Tuesday, May 16, 16:30 - 18:30 |
| Location: Poster Area 2 |
| Chair: Phillip Regalia, CUA/GET |
| MLSP-P2.1: SYSTEM IDENTIFICATION WITH UNBOUNDED LOSS FUNCTIONS UNDER ALGORITHMIC DEFICIENCY |
| Majid Fozunbal, Mat Hans, Ronald Schafer, Hewlett-Packard Company, United States |
| MLSP-P2.2: OBJECT DETECTION IN VIDEO WITH GRAPHICAL MODELS |
| David Liu, Tsuhan Chen, Carnegie Mellon University, United States |
| MLSP-P2.3: FUZZY INTEGRAL-BASED MIXTURE TO SPEED UP THE ONE-AGAINST-ALL MULTICLASS SVM |
| Hassiba Nemmour, Youcef Chibani, USTHB, Algeria |
| MLSP-P2.4: SEQUENTIAL DETECTION USING LEAST SQUARES TEMPORAL DIFFERENCE METHODS |
| Anthony Kuh, University of Hawaii, United States; Danilo Mandic, Imperial College London, United Kingdom |
| MLSP-P2.5: A FIXED-POINT ALGORITHM FOR FINDING THE OPTIMAL COVARIANCE MATRIX IN KERNEL DENSITY MODELING |
| Jose M. Leiva-Murillo, Antonio Artés-Rodríguez, Universidad Carlos III, Spain |
| MLSP-P2.6: SPARSENESS BY ITERATIVE PROJECTIONS ONTO SPHERES |
| Fabian Theis, University of Regensburg, Germany; Toshihisa Tanaka, Tokyo University of Agriculture and Technology, Japan |
| MLSP-P2.7: ITERATIVE CONSTRAINED MAXIMUM LIKELIHOOD ESTIMATION VIA EXPECTATION PROPAGATION |
| John Walsh, Cornell University, United States; Phillip Regalia, Catholic University of America, United States |
| MLSP-P2.8: A NUMERICAL METHOD TO COMPUTE CRAMÉR-RAO-TYPE BOUNDS FOR CHALLENGING ESTIMATION PROBLEMS |
| Justin Dauwels, RIKEN Brain Science Institute, Japan; Sascha Korl, Phonak AG, Switzerland |
| MLSP-P2.9: COMPARISON OF SEQUENCE DISCRIMINANT SUPPORT VECTOR MACHINES FOR ACOUSTIC EVENT CLASSIFICATION |
| Andrey Temko, Enric Monte, Climent Nadeu, Technical University of Catalonia (UPC), Spain |
| MLSP-P2.10: SELF ORGANIZING MAPS FOR REDUCING THE NUMBER OF CLUSTERS BY ONE ON SIMPLEX SUBSPACES |
| Constantine Kotropoulos, Vassiliki Moschou, Aristotle University of Thessaloniki, Greece |
| MLSP-P2.11: BLOCK DIAGONAL LINEAR DISCRIMINANT ANALYSIS WITH SEQUENTIAL EMBEDDED FEATURE SELECTION |
| Roger Pique-Regi, Antonio Ortega, University of Southern California, United States |
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