DocumentCode :
863813
Title :
Effective Feature Extraction in High-Dimensional Space
Author :
Pang, Yanwei ; Yuan, Yuan ; Li, Xuelong
Author_Institution :
Sch. of Electron. Inf. Eng., Tianjin Univ., Tianjin
Volume :
38
Issue :
6
fYear :
2008
Firstpage :
1652
Lastpage :
1656
Abstract :
This correspondence first kernalizes the region covariance matrix and formalizes the similarity metric using four block matrices. The effectiveness of the proposed methods is proven with experiments on face recognition.
Keywords :
covariance matrices; face recognition; feature extraction; block matrix; covariance matrix; face recognition; feature extraction; high-dimensional space; similarity metric; Kernalization; region covariance matrix (RCM); Algorithms; Artificial Intelligence; Biometry; Face; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
fLanguage :
English
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
1083-4419
Type :
jour
DOI :
10.1109/TSMCB.2008.927276
Filename :
4625979
Link To Document :
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