Using kernel PCA for initialisation of variational bayesian nonlinear blind source separation method

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

Volumn 3195, Issue , 2004, Pages 790-797

  Honkela, Antti ^a   Harmeling, Stefan ^b   Lundqvist, Leo ^a   Valpola, Harri ^a  

^a AALTO UNIVERSITY   (Finland)

^b FRAUNHOFER FIRST   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; BLIND SOURCE SEPARATION; INDEPENDENT COMPONENT ANALYSIS;

LINEAR PRINCIPAL COMPONENT; MODEL COMPARISON; MULTI LAYER PERCEPTRON; NONLINEAR BLIND SOURCE SEPARATION; NONLINEAR SEPARATION; VARIATIONAL BAYESIAN; VARIATIONAL BAYESIAN FRAMEWORKS; VARIATIONAL BAYESIAN METHODS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 35048816984     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30110-3_100     Document Type: Article

References (9)

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