Proceedings of the 2014 International Conference on Computer, Communications and Information Technology

Adaptive Relief Feature Evaluation and Selection based on Grey Level Co-occurrence Matrix

Authors
Han Wang, Zhousheng Ma, Wenbing Fan
Corresponding Author
Han Wang
Available Online January 2014.
DOI
https://doi.org/10.2991/ccit-14.2014.29How to use a DOI?
Keywords
adaptive Relief algorithm, feature selection, image recognition, GLCM.
Abstract
In image recognition, how to select informative features from the feature space is a very significant task. Relief algorithm is considered as one of the most successful methods for evaluating the quality of features. In this paper, it firstly provides a valid proof which demonstrates a blind selection problem in the previous Relief algorithm. And then this paper proposes an adaptive Relief (A-Relief) algorithm to alleviate the deficiencies of Relief by dividing the instance set adaptively. Lastly, it uses grey level co-occurrence matrix (GLCM) to extract text features and applies A-Relief algorithm to classify these features. The experimental results illustrate A-Relief algorithm proposed in this paper can improve the accuracy of the classification effectively and solve the blind selection problem.
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Proceedings
2014 International Conference on Computer, Communications and Information Technology (CCIT 2014)
Part of series
Advances in Intelligent Systems Research
Publication Date
January 2014
ISBN
978-90786-77-97-0
ISSN
1951-6851
DOI
https://doi.org/10.2991/ccit-14.2014.29How 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  - Han Wang
AU  - Zhousheng Ma
AU  - Wenbing Fan
PY  - 2014/01
DA  - 2014/01
TI  - Adaptive Relief Feature Evaluation and Selection based on Grey Level Co-occurrence Matrix
BT  - 2014 International Conference on Computer, Communications and Information Technology (CCIT 2014)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/ccit-14.2014.29
DO  - https://doi.org/10.2991/ccit-14.2014.29
ID  - Wang2014/01
ER  -