Constructing nonlinear discriminants from multiple data views

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6321 LNAI, Issue PART 1, 2010, Pages 328-343

  Diethe, Tom ^a   Hardoon, David Roi ^b   Shawe Taylor, John ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

Author keywords

Convex Optimisation; Fisher Discriminant Analysis; Kernel methods; Multiview Learning

Indexed keywords

BRAIN IMAGING; CLASSIFICATION PERFORMANCE; DATA SETS; DATA SOURCE; EXPERIMENTAL VALIDATIONS; FISHER DISCRIMINANT ANALYSIS; KERNEL FISHER DISCRIMINANT ANALYSIS; KERNEL METHODS; LEARNING THEORY; MULTI-VIEW LEARNING; MULTI-VIEWS; MULTIPLE DATA; MULTIPLE SOURCE; OPTIMISATIONS;

DISCRIMINANT ANALYSIS; FACE RECOGNITION; FISHER INFORMATION MATRIX; LEARNING SYSTEMS; OPTIMIZATION;

LEARNING ALGORITHMS;

EID: 78049336211     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15880-3_27     Document Type: Conference Paper

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