An analytical algorithm for determining the generalized optimal set of discriminant vectors
Wu XJ(吴晓军); Josef Kittler; Yang Jing-Yu; Wang Shi-Tong
刊名Pattern Recognition
2004
卷号37期号:9页码:1949-1952
关键词Feature extraction Generalized optimal discriminant vectors Face recognition LDA
ISSN号0031-3203
产权排序1
中文摘要Generalized linear discriminant analysis has been successfully used as a dimensionality reduction technique in many classification tasks. An analytical method for finding the optimal set of generalized discriminant vectors is proposed in this paper. Compared with other methods, the proposed method has the advantage of requiring less computational time and achieving higher recognition rates. The results of experiments conducted on the Olivetti Research Lab facial database show the effectiveness of the proposed method.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
研究领域[WOS]Computer Science ; Engineering
关键词[WOS]RECOGNITION
收录类别SCI ; EI
语种英语
WOS记录号WOS:000222701700018
公开日期2012-05-29
内容类型期刊论文
源URL[http://ir.sia.cn/handle/173321/6925]  
专题沈阳自动化研究所_工业信息学研究室_先进制造技术研究室
推荐引用方式
GB/T 7714
Wu XJ,Josef Kittler,Yang Jing-Yu,et al. An analytical algorithm for determining the generalized optimal set of discriminant vectors[J]. Pattern Recognition,2004,37(9):1949-1952.
APA Wu XJ,Josef Kittler,Yang Jing-Yu,&Wang Shi-Tong.(2004).An analytical algorithm for determining the generalized optimal set of discriminant vectors.Pattern Recognition,37(9),1949-1952.
MLA Wu XJ,et al."An analytical algorithm for determining the generalized optimal set of discriminant vectors".Pattern Recognition 37.9(2004):1949-1952.
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