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Volumn 40, Issue 9, 2007, Pages 2585-2591

A linear discriminant analysis framework based on random subspace for face recognition

Author keywords

LDA; Principal subspace; Random subspace

Indexed keywords

DATABASE SYSTEMS; DISCRIMINANT ANALYSIS; FEATURE EXTRACTION; INFORMATION FUSION; LINEAR SYSTEMS; PROBLEM SOLVING;

EID: 34247608749     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2006.12.002     Document Type: Article
Times cited : (62)

References (16)
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    • X. Wang, X. Tang, Random sampling LDA for face recognition. Proceedings of Computer Vision and Pattern Recognition (CVPR 2004), vol. 2, 2004, pp. 259-265.
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    • N.V. Chawla, K.W. Bowyer, Random subspaces and subsampling for 2-D face recognition, IEEE Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005.
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    • Gabor feature based classification using the enhanced Fisher linear discriminant model for face recognition
    • Liu C., and Wechsler H. Gabor feature based classification using the enhanced Fisher linear discriminant model for face recognition. IEEE Trans. Image Process. 11 4 (2002) 467-476
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    • Liu, C.1    Wechsler, H.2
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    • L. Zhang, S.Z. Li, Z. YiQu, X. Huang, Boosting local feature based classifiers for face recognition. In: Proceedings of the IEEE Conference on CVPR Workshop on Face Processing in Video (FPIV 04), 2004, pp. 87-92.
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    • X. Wang, X. Tang, Unified subspace analysis for face recognition, International Conference on Computer Vision (ICCV 2003).
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.