A regularized kernel CCA contrast function for ICA

DOI10.1016/j.neunet.2007.12.047zbMath1254.68195OpenAlexW2065371646WikidataQ47908412 ScholiaQ47908412MaRDI QIDQ1931993

Carlos Alzate, Johan A. K. Suykens

Publication date: 17 January 2013

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2007.12.047

zbMATH Keywords

independent component analysisleast squares support vector machineskernel canonical correlation analysis

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

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Primal and dual model representations in kernel-based learning ⋮ The kernel-based nonlinear multivariate grey model ⋮ SVD revisited: a new variational principle, compatible feature maps and nonlinear extensions

Uses Software

• FastICA
• BSDS

Cites Work

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• Blind separation of sources. I: An adaptive algorithm based on neuromimetic architecture
• Independent component analysis, a new concept?
• 10.1162/153244303768966085
• The Geometry of Algorithms with Orthogonality Constraints
• Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis
• Canonical analysis of several sets of variables
• RELATIONS BETWEEN TWO SETS OF VARIATES

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