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Volumn 69, Issue 13-15, 2006, Pages 1711-1716

Diagonal Fisher linear discriminant analysis for efficient face recognition

Author keywords

2 Dimensional FLD; 2 Dimensional PCA; Diagonal FLD; Face recognition; Fisher linear discriminant analysis (FLD); Object recognition; Principal component analysis (PCA)

Indexed keywords

LINEAR ALGEBRA; OBJECT RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; VECTOR QUANTIZATION;

EID: 33745444072     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2006.01.012     Document Type: Article
Times cited : (38)

References (9)
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  • 3
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    • Diagonal principal component analysis for face recognition
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    • Daoqiang, Z.1    Zhou, Z.-H.2    Chen, S.3
  • 4
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  • 5
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    • The COIL-20 Object Database, http://www1.cs.columbia.edu/CAVE/research/softlib/coil-20.html
  • 6
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    • The ORL Face Database, http://www.uk.research.att.com/facedatabase.html
  • 7
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    • Eigenfaces for recognition
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  • 8
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    • Two-dimensional FLD for face recognition
    • Xiong H., Swamy M.N.S., and Ahmad M.O. Two-dimensional FLD for face recognition. Pattern Recogn. 38 (2005) 1121-1124
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    • Xiong, H.1    Swamy, M.N.S.2    Ahmad, M.O.3
  • 9
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    • Two-dimensional PCA: a new approach to appearance-based face representation and recognition
    • Yang J., Zhang D., Frangi A.F., and Yang J. Two-dimensional PCA: a new approach to appearance-based face representation and recognition. IEEE Trans. Pattern Anal. Mach. Intell. 26 1 (2004) 131-137
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    • Yang, J.1    Zhang, D.2    Frangi, A.F.3    Yang, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.