Inexact implementation using Krylov subspace methods for large scale exponential discriminant analysis with applications to high dimensionality reduction problems-Reference-Cited by-同舟云学术

Inexact implementation using Krylov subspace methods for large scale exponential discriminant analysis with applications to high dimensionality reduction problems

Published:2017-06 Issue: Volume:66 Page:328-341
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Wu Gang,Feng Ting-ting,Zhang Li-jia,Yang Meng

Funder

National Science Foundation of China

Natural Science Foundation of Jiangsu Province

Talent Introduction Program of China University of Mining and Technology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference50 articles.

1. N. Ahmed, Exponential discriminant regularization using nonnegative constraint and image descriptor, in: IEEE 9th International Conference on Emerging Technologies, 2013, pp. 1–6.

2. Unified formulation of linear discriminant analysis methods and optimal parameter selection;An;Pattern Recognit.,2011

3. Templates for the Solution of Algebraic Eigenvalue Problems: a Practical Guide;Bai,2000

4. Eigenfaces vs Fisherface;Belhumeur;IEEE Trans. Pattern Anal. Mach. Intell.,1997

5. Discriminative common vectors for face recognition;Cevikalp;IEEE Trans. Pattern Anal. Mach. Intell.,2005

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