Properties of Standard and Sketched Kernel Fisher Discriminant-Reference-Cited by-同舟云学术

Properties of Standard and Sketched Kernel Fisher Discriminant

Author:

Liu Jiamin¹,Xu Wangli²,Zhang Fode³,Lian Heng⁴^ORCID

Affiliation:

1. School of Mathematics and Physics, University of Science and Technology Beijing, Beijing, China

2. Center for Applied Statistics, School of Statistics, Renmin University of China, Beijing, China

3. Center of Statistical Research, School of Statistics, Southwestern University of Finance and Economics, Chengdu, Sichuan, China

4. Department of Mathematics, City University of Hong Kong, Hong Kong

Funder

Beijing Natural Science Foundation

National Natural Science Foundation of Chine

National Natural Science Foundationo of China

NSF of Jiangxi Province

Hong Kong RGC general research fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

Reference22 articles.

1. Scalable kernel k-means clustering with Nyström approximation: Relative-error bounds;wang;J Mach Learn Res,2019

3. Statistical consistency of kernel canonical correlation analysis;fukumizu;J Mach Learn Res,2007

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