Fast Fisher discriminant analysis with randomized algorithms

•We propose to use random projection to accelerate Fisher discriminant analysis and provide a theoretical analysis. Empirical study shows our method is effective and efficient.•We propose to use random feature map to accelerate kernel discriminant analysis. And we provide theoretical and empirical a...

Full description

Bibliographic Details

Published in:	Pattern recognition Vol. 72; pp. 82 - 92
Main Authors:	Ye, Haishan, Li, Yujun, Chen, Cheng, Zhang, Zhihua
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.12.2017
Subjects:	Fisher discriminant analysis Random feature map Random projection Random feature map Random projection Fisher discriminant analysis
ISSN:	0031-3203, 1873-5142
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!