Convergence analysis of kernel canonical correlation analysis: theory and practice
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Publication:1009310
DOI10.1007/S10994-008-5085-3zbMath1473.62194OpenAlexW1972598934MaRDI QIDQ1009310
John Shawe-Taylor, David R. Hardoon
Publication date: 31 March 2009
Published in: Machine Learning (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10994-008-5085-3
Hypothesis testing in multivariate analysis (62H15) Measures of association (correlation, canonical correlation, etc.) (62H20)
Related Items (12)
Coupling loss and self-used privileged information guided multi-view transfer learning ⋮ Kernel canonical correlation analysis for data combination of multiple-source datasets ⋮ Neighbourhood-preserving dimension reduction via localised multidimensional scaling ⋮ Kernel-based conditional canonical correlation analysis via modified Tikhonov regularization ⋮ A new randomized Kaczmarz based kernel canonical correlation analysis algorithm with applications to information retrieval ⋮ State-space LPV model identification using kernelized machine learning ⋮ Sparse canonical correlation analysis ⋮ Efficient kernel canonical correlation analysis using Nyström approximation ⋮ Constrained ERM Learning of Canonical Correlation Analysis: A Least Squares Perspective ⋮ Convergence rate of kernel canonical correlation analysis ⋮ Nonlinear Dimension Reduction by Local Multidimensional Scaling ⋮ Coupling privileged kernel method for multi-view learning
Cites Work
- 10.1162/153244303768966085
- Estimating Optimal Transformations for Multiple Regression and Correlation
- Canonical Correlation Analysis: An Overview with Application to Learning Methods
- 10.1162/153244303321897690
- Algorithmic Learning Theory
- Canonical analysis of several sets of variables
- RELATIONS BETWEEN TWO SETS OF VARIATES
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