NDLI: Higher-Order Regularized Kernel CCA

Content Provider	IEEE Xplore Digital Library
Author	Alam, M.A. Fukumizu, K.
Copyright Year	2013
Description	Author affiliation: Dept. of Stat. Sci., Grad. Univ. for Adv. Studies, Tachikawa, Japan (Alam, M.A.) \|\| Dept. of Math. Anal. & Stat. Inference, Inst. of Stat. Math., Tachikawa, Japan (Fukumizu, K.)
Abstract	Kernel canonical correlation analysis (kernel CCA) is sensitive to the choice of appropriate kernels and associated parameters. To the best of our knowledge there is no general well-founded approach for choosing them. As we demonstrate with Gaussian kernels, the kernel CCA tends to show perfect correlation as the bandwidth parameter of the Gaussian kernel decreases, while it provides inappropriate features with all the data concentrated in a few points. This is caused by the ill-posed ness of the kernel CCA with the 4th order moment of canonical variates becomes large. To overcome this problem, we propose to use constraints on the 4th order moments of canonical variates in addition to the variances. Experiments on synthesized and real world datasets demonstrate that the proposed kernel CCA provides well-posed and robust solution in reasonable ranges of all the hyper parameters.
Sponsorship	IEEE Syst., Man, Cybern. Soc.
Starting Page	374
Ending Page	377
File Size	597435
Page Count	4
File Format	PDF
ISBN	9780769551449
DOI	10.1109/ICMLA.2013.76
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	measure of dependence Correlation Bandwidth Feature extraction higher-order regularization Electronic mail Kernel Standards Optimization kernel CCA robust solution
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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