Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

Cost-Sensitive Sparsity Preserving Projections for Face Recognition

Authors
Xiaoyuan Jing, Wenqian Li, Hao Gao, Yongfang Yao, Jiangyue Man
Corresponding Author
Xiaoyuan Jing
Available Online March 2013.
DOI
https://doi.org/10.2991/iccsee.2013.725How to use a DOI?
Keywords
cost-sensitive learning, sparse representation, cost-sensitive classifier, feature extraction, face recognition
Abstract
As one of the most popular research topics, sparse representation (SR) technique has been successfully employed to solve face recognition task. Though current SR based methods prove to achieve high classification accuracy, they implicitly assume that the losses of all misclassifications are the same. However, in many real-world face recognition applications, this assumption may not hold as different misclassifications could lead to different losses. Driven by this concern, in this paper, we propose a cost-sensitive sparsity preserving projections (CSSPP) for face recognition. CSSPP considers the cost information of sparse representation while calculating the sparse structure of the training set. Then, CSSPP employs the sparsity preserving projection method to achieve the projection transform and keeps the sparse structure in the low-dimensional space. Experimental results on the public AR and FRGC face databases are presented to demonstrate that both of the proposed approaches can achieve high recognition rate and low misclassification loss, which validate the efficacy of the proposed approach.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
Conference of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccsee.2013.725How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiaoyuan Jing
AU  - Wenqian Li
AU  - Hao Gao
AU  - Yongfang Yao
AU  - Jiangyue Man
PY  - 2013/03
DA  - 2013/03
TI  - Cost-Sensitive Sparsity Preserving Projections for Face Recognition
BT  - Conference of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2905
EP  - 2908
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.725
DO  - https://doi.org/10.2991/iccsee.2013.725
ID  - Jing2013/03
ER  -