publication . Other literature type . Article . Preprint . 2018

Influence function and robust variant of kernel canonical correlation analysis

Alam, Md. Ashad; Fukumizu, Kenji; Wang, Yu-Ping;
Open Access English
  • Published: 01 Aug 2018
Abstract
Comment: arXiv admin note: text overlap with arXiv:1602.05563
Subjects
ACM Computing Classification System: ComputingMethodologies_PATTERNRECOGNITIONSoftware_OPERATINGSYSTEMS
free text keywords: Article, Statistics - Machine Learning, Cognitive Neuroscience, Artificial Intelligence, Computer Science Applications, business.industry, business, Mathematics, Robustness (computer science), Unsupervised learning, Covariance operator, Kernel method, Pattern recognition, Bounded function, Outlier, Estimator, Kernel (linear algebra)
Related Organizations

[17] J. Kim, C. D. Scott, Robust kernel density estimation, Journal of Machine Learning Research 13 (2012) 2529-2565.

[18] S. Y. Huang, Y. R. Yeh, S. Eguchi, Robust kernel principal component analysis, Neural Computation 21(11) (2009) 3179-3213.

[48] Y. Tanaka, Sensitivity analysis in principal component analysis: influence on the subspace spanned by principal components, Communications in Statistics-Theory and Methods 17(9) (1988) 3157-3175.

[49] Y. Tanaka, Influence functions related to eigenvalue problem which appear in multivariate analysis, Communications in Statistics-Theory and Methods 18(11) (1989) 3991-4010.

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publication . Other literature type . Article . Preprint . 2018

Influence function and robust variant of kernel canonical correlation analysis

Alam, Md. Ashad; Fukumizu, Kenji; Wang, Yu-Ping;