A learning algorithm for adaptive canonical correlation analysis of several data sets

DOI10.1016/J.NEUNET.2006.09.011zbMath1158.68459OpenAlexW2001600470WikidataQ31078394 ScholiaQ31078394MaRDI QIDQ866746

N. E. Zubov

Publication date: 14 February 2007

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

Full work available at URL: https://doi.org/10.1016/j.neunet.2006.09.011

zbMATH Keywords

adaptive algorithmsHebbian learningcanonical correlation analysis (CCA)principal component analysis (PCA)recursive least squares (RLS)

Mathematics Subject Classification ID

Nonnumerical algorithms (68W05) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (12)

A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis ⋮ Numerical methods for the Genvar criterion of multiple-sets canonical analysis ⋮ Maximization of Matrix Trace Function of Product Stiefel Manifolds ⋮ Canonical correlation analysis-based explicit relation discovery for statistical process monitoring ⋮ Improved multi-view privileged support vector machine ⋮ On convergence of iterative methods for maximal correlation problems ⋮ Sparse generalized canonical correlation analysis via linearized Bregman method ⋮ Trace ratio optimization with an application to multi-view learning ⋮ Constrained ERM Learning of Canonical Correlation Analysis: A Least Squares Perspective ⋮ A flag representation for finite collections of subspaces of mixed dimensions ⋮ Adaptive kernel canonical correlation analysis algorithms for nonparametric identification of Wiener and Hammerstein systems ⋮ Color image canonical correlation analysis for face feature extraction and recognition

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• Fast RLS-like algorithm for generalized eigendecomposition and its applications
• 10.1162/153244303768966085
• Canonical Correlation Analysis: An Overview with Application to Learning Methods
• Two-channel constrained least squares problems: solutions using power methods and connections with canonical coordinates
• Canonical analysis of several sets of variables
• RELATIONS BETWEEN TWO SETS OF VARIATES

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