ICASSP 2005 Philadelphia

2005 IEEE International Conference on Acoustics, Speech, and Signal Processing

March 18-23, 2005 • Pennsylvania Convention Center/Marriott Hotel • Philadelphia, PA, USA

MLSP-P2: Learning Theory and Classification

Session Type: Poster
Time: Tuesday, March 22, 15:30 - 17:30
Location: CC: Poster 8
Chair: Danilo Mandic, Imperial College
 
MLSP-P2.1: AN IMPROVEMENT TO THE NATURAL GRADIENT LEARNING ALGORITHM FOR MULTILAYER PERCEPTRONS
         Michael Bastian; Utah State University
         Jacob Gunther; Utah State University
         Todd Moon; Utah State University
 
MLSP-P2.2: ON NONLINEAR MODULAR NEURAL FILTERS
         Mo Chen; Imperial College London
         Danilo Mandic; Imperial College London
         Temujin Gautama; K.U. Leuven, Campus Gasthuisberg
         Mark Van Hulle; K.U. Leuven, Campus Gasthuisberg
 
MLSP-P2.3: SUPERVISED TRAINING OF ADAPTIVE SYSTEMS WITH PARTIALLY LABELED DATA
         Deniz Erdogmus; Oregon Graduate Institute, OHSU
         Yadunandana Rao; Motorola Inc.
         Jose Principe; University of Florida
 
MLSP-P2.4: THE LAPLACIAN SPECTRAL CLASSIFIER
         Robert Jenssen; University of Tromsø
         Deniz Erdogmus; University of Florida
         Jose Principe; University of Florida
         Torbjørn Eltoft; University of Tromsø
 
MLSP-P2.5: A LOGISTIC REGRESSION MODEL FOR SMALL SAMPLE CLASSIFICATION PROBLEMS WITH HIDDEN VARIABLES AND NON-LINEAR RELATIONSHIPS: AN APPLICATION IN BUSINESS ANALYTICS
         Aleksandra Mojsilovic; IBM T. J. Watson Research Center
 
MLSP-P2.6: WHITENING SPACIAL CORRELATION FILTERING FOR HYPERSPECTRAL ANOMALY DETECTION
         Jean-Michel Gaucel; Institut Fresnel / CNRS UMR 6133 - EGIM
         Mireille Guillaume; Institut Fresnel / CNRS UMR 6133 - EGIM
         Salah Bourennane; Institut Fresnel / CNRS UMR 6133 - EGIM
 
MLSP-P2.7: GAUSS MIXTURE IMAGE CLASSIFICATION FOR THE LINEAR IMAGE TRANSFORMS
         Kivanc Ozonat; Stanford University
         Robert M. Gray; Stanford University
 
MLSP-P2.8: A GENERALIZED MULTIPLE INSTANCE LEARNING ALGORITHM FOR LARGE SCALE MODELING OF MULTIMEDIA SEMANTICS
         Milind Naphade; IBM T. J. Watson Research Center
         John Smith; IBM T. J. Watson Research Center
 
MLSP-P2.9: A HYBRID GENETIC ALGORITHM APPROACH FOR IMPROVING THE PERFORMANCE OF THE LF-ASD BRAIN COMPUTER INTERFACE
         Mehrdad Fatourechi; University of British Columbia
         Ali Bashashati; University of British Columbia
         Rabab K. Ward; University of British Columbia
         Gary E. Birch; Neil Squire Foundation
 
MLSP-P2.10: EXTENDING GENETIC PROGRAMMING FOR MULTI-CLASS CLASSIFICATION BY COMBINING K-NEAREST NEIGHBOR
         Liang Zhang; University of Liverpool
         Lindsay Jack; University of Liverpool
         Asoke K. Nandi; University of Liverpool
 
MLSP-P2.11: OPTIMAL ESTIMATION OF FEED-FOWARD-CONTROLLED LINEAR SYSTEMS
         Caleb Kemere; Stanford University
         Teresa Meng; Stanford University
 
MLSP-P2.12: COMBINING CLASSIFIERS WITH DIFFERENT FOOTSTEP FEATURE SETS AND MULTIPLE SAMPLES FOR PERSON IDENTIFICATION
         Jaakko Suutala; University of Oulu
         Juha Röning; University of Oulu
 
MLSP-P2.13: A COMPARISON OF EM AND GMVQ IN ESTIMATING GAUSS MIXTURES: APPLICATION TO PROBABILISTIC IMAGE RETRIEVAL
         Sangoh Jeong; Stanford University
         Robert M. Gray; Stanford University
 
MLSP-P2.14: ADAPTIVE FRÉCHET KERNEL BASED SUPPORT VECTOR MACHINE FOR TEXT DETECTION
         Shiyan Hu; Polytechnic University
         Minya Chen; Polytechnic University
 
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