Dimensionality reduction by mixed kernel canonical correlation analysis

DOI10.1016/j.patcog.2012.02.007zbMath1236.68212OpenAlexW2042683698MaRDI QIDQ411964

Heng Tao Shen, Xiaofeng Zhu, Changsheng Xu, Jian Cheng, Zi Huang

Publication date: 2 May 2012

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2012.02.007

zbMATH Keywords

model selectioncanonical correlation analysisdimensionality reductionmixed kernel

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)

Related Items (8)

Kernel-based conditional canonical correlation analysis via modified Tikhonov regularization ⋮ Regularized generalized eigen-decomposition with applications to sparse supervised feature extraction and sparse discriminant analysis ⋮ A new randomized Kaczmarz based kernel canonical correlation analysis algorithm with applications to information retrieval ⋮ Large margin subspace learning for feature selection ⋮ Multi-manifold discriminant Isomap for visualization and classification ⋮ FSPL: a meta-learning approach for a filter and embedded feature selection pipeline ⋮ A novel discriminant minimum class locality preserving canonical correlation analysis and its applications ⋮ Multiple kernel dimensionality reduction via ratio-trace and marginal Fisher analysis

Uses Software

• UCI-ml
• LIBSVM

Cites Work

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• Manifold elastic net: a unified framework for sparse dimension reduction
• A unified framework for semi-supervised dimensionality reduction
• Nonlinear measures of association with kernel canonical correlation analysis and applications
• Nonlinear canonical analysis and independence tests
• Stable local dimensionality reduction approaches
• Kernel dimension reduction in regression
• Learning Deep Architectures for AI
• Generalized KPCA by adaptive rules in feature space
• Canonical Correlation Analysis: An Overview with Application to Learning Methods
• DAML: Domain Adaptation Metric Learning
• RELATIONS BETWEEN TWO SETS OF VARIATES

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