MLSP-L1: Pattern Recognition and Classification I |
Session Type: Lecture |
Time: Thursday, May 20, 09:30 - 11:30 |
Location: Mackenzie |
Chair: DeLiang Wang, Ohio State University |
MLSP-L1.1: A SEQUENTIAL APPROACH FOR MULTI-CLASS DISCRIMINANT ANALYSIS WITH KERNELS |
Fahed Abdallah; Université de Technologie de Troyes (UTT) |
Cédric Richard; Université de Technologie de Troyes (UTT) |
Régis Lengelle; Université de Technologie de Troyes (UTT) |
MLSP-L1.2: A DETERMINISTIC, ANNEALING-BASED APPROACH FOR LEARNING AND MODEL SELECTION IN FINITE MIXTURE MODELS |
Qi Zhao; Pennsylvania State University |
David Miller; Pennsylvania State University |
MLSP-L1.3: LEARNING BASED ON KERNEL DISCRIMINANT-EM ALGORITHM FOR IMAGE CLASSIFICATION |
Qi Tian; University of Texas, San Antonio |
Jerry (Jie) Yu; University of Texas, San Antonio |
Ying Wu; Northwestern University |
Thomas S. Huang; University of Illinois at Urbana-Champaign |
MLSP-L1.4: ACTIVE SELECTION OF LABELED DATA FOR TARGET DETECTION |
Yan Zhang; Duke University |
Xuejun Liao; Duke University |
Esther Dura; Duke University |
Lawrence Carin; Duke University |
MLSP-L1.5: MIN-MAX OPTIMAL UNIVERSAL PREDICTION WITH SIDE INFORMATION |
Suleyman Kozat; University of Illinois at Urbana-Champaign |
Andrew C. Singer; University of Illinois at Urbana-Champaign |
MLSP-L1.6: DISSIMILARITY MEASURES IN FEATURE SPACE |
Frédéric Desobry; IRCCyN, UMR CNRS 6597 |
Manuel Davy; IRCCyN, UMR CNRS 6597 |
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