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Reseach Article

Fuzzy Support Vector Machines for Face Recognition: A Review

by Navin Prakash, Yashpal Singh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 131 - Number 3
Year of Publication: 2015
Authors: Navin Prakash, Yashpal Singh
10.5120/ijca2015907224

Navin Prakash, Yashpal Singh . Fuzzy Support Vector Machines for Face Recognition: A Review. International Journal of Computer Applications. 131, 3 ( December 2015), 24-26. DOI=10.5120/ijca2015907224

@article{ 10.5120/ijca2015907224,
author = { Navin Prakash, Yashpal Singh },
title = { Fuzzy Support Vector Machines for Face Recognition: A Review },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 131 },
number = { 3 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 24-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume131/number3/23430-2015907224/ },
doi = { 10.5120/ijca2015907224 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:26:18.753382+05:30
%A Navin Prakash
%A Yashpal Singh
%T Fuzzy Support Vector Machines for Face Recognition: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 131
%N 3
%P 24-26
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Support vector machine (SVMs) is a classical classification tool in face recognition. In ordinary SVM, every input points are considered to have the same commitment to the training model. On the other hand, this is not generally valid due to some challenges in face recognition. Since there may be a few points undermined by commotion so they are less significant and the machine ought to better to toss them which are undecidable. This paper review some methodology to handle this sort of information giving so as to utilize fuzzy methodology them a weight which demonstrate the diverse commitment of every point to the model. The weights are resolved as for their membership function. Such approach is typically called as Fuzzy SVM (FSVM).

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Index Terms

Computer Science
Information Sciences

Keywords

Face Recognition Support vector Machines Fuzzy Support vector Machines.