Joint sparsity matrix learning for multiclass classification applied to face recognition

Minna Qiu; Zhengming Li; Hongzhi Zhang; Charlene Xie; Jian Zhang

doi:10.1117/1.JEI.23.3.033007

19 May 2014 Joint sparsity matrix learning for multiclass classification applied to face recognition

Minna Qiu, Zhengming Li, Hongzhi Zhang, Charlene Xie, Jian Zhang

Author Affiliations +

Journal of Electronic Imaging, Vol. 23, Issue 3, 033007 (May 2014). https://doi.org/10.1117/1.JEI.23.3.033007

Abstract

Multiclass classification is an important problem in pattern recognition. Various classification methods have been proposed in the past few decades. However, most of these classification methods neglect the errors or the noises that exist in samples. As a result, classification accuracy is badly influenced by the errors or noises. In this paper, we propose a joint sparsity matrix learning method, which exploits l _2,1 -norm minimization to perform multiclass classification. In order to overcome the influence of the errors or noises, we introduce a sparse matrix to explicitly model the errors or noises and apply an iterative procedure to solve the l _2,1 -norm regularized problem. We perform experiments on four face databases to verify the effectiveness of the proposed method.

Citation Download Citation

Minna Qiu, Zhengming Li, Hongzhi Zhang, Charlene Xie, and Jian Zhang "Joint sparsity matrix learning for multiclass classification applied to face recognition," Journal of Electronic Imaging 23(3), 033007 (19 May 2014). https://doi.org/10.1117/1.JEI.23.3.033007

Published: 19 May 2014

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $24.00

Non-members: $28.00 ADD TO CART

JOURNAL ARTICLE
9 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Databases

Facial recognition systems

Detection and tracking algorithms

Evolutionary algorithms

Autoregressive models

Feature selection

Error analysis

Show All Keywords

Keywords/Phrases

Search In:

Publication Years