Linear boundary discriminant analysis based on QR decomposition

Title
Linear boundary discriminant analysis based on QR decomposition
Authors
나진희박명수강우성최진영
Keywords
Linear boundary discriminant analysis; computation time; QR decomposition
Issue Date
2014-02
Publisher
PAA : pattern analysis and applications
Citation
VOL 17, NO 1, 105-112
Abstract
Linear boundary discriminant analysis (LBDA) shows good feature extraction performance in the classification problem. However, LBDA suffers from small sample size (SSS) problem and the computation time of it increases exponentially for datasets that are not sufficiently large compared with the number of features. To release these problems, we reformulate LBDA using QR decomposition, and this results in both reducing computation time and resolving SSS problem while classification performance is maintained.
URI
http://pubs.kist.re.kr/handle/201004/46794
ISSN
14337541
Appears in Collections:
KIST Publication > Article
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