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Volumn 27, Issue 1, 2008, Pages 17-24

A gradient linear discriminant analysis for small sample sized problem

Author keywords

Dimensionality reduction; Fisher's criterion function; Gradient linear discriminant analysis; Small sample size problem

Indexed keywords

COMPUTATION THEORY; DISCRIMINANT ANALYSIS; EIGENVALUES AND EIGENFUNCTIONS; PROBLEM SOLVING;

EID: 37549048676     PISSN: 13704621     EISSN: 1573773X     Source Type: Journal    
DOI: 10.1007/s11063-007-9056-7     Document Type: Article
Times cited : (33)

References (13)
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    • Sharma A, Paliwal KK, Onwubolu GC (2006) Class-dependent PCA, MDC and LDA: a combined classifier for pattern classification. Pattern Recogn 39(7): 1215-1229
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    • Sharma, A.1    Paliwal, K.K.2    Onwubolu, G.C.3
  • 7
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    • A new LDA-based face recognition system which can solve the small sample size problem
    • Chen L-F, Liao H-YM, Ko M-T, Lin J-C, Yu G-J (2000) A new LDA-based face recognition system which can solve the small sample size problem. Pattern Recogn 33: 1713-1726
    • (2000) Pattern Recogn , vol.33 , pp. 1713-1726
    • Chen, L.-F.1    H-Ym, L.2    Ko, M.-T.3    Lin, J.-C.4    Yu, G.-J.5
  • 8
    • 0001765951 scopus 로고    scopus 로고
    • A direct LDA algorithm for high-dimensional data-with application to face recognition
    • Yu H, Yang J (2001) A direct LDA algorithm for high-dimensional data-with application to face recognition. Pattern Recogn 34: 2067-2070
    • (2001) Pattern Recogn , vol.34 , pp. 2067-2070
    • Yu, H.1    Yang, J.2
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    • Fractional-step dimensionality reduction. IEEE Trans Pattern Anal Mach
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    • Lotlikar R, Kothari R (2000) Fractional-step dimensionality reduction. IEEE Trans Pattern Anal Mach. Intell 22(6): 623-627
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    • Lotlikar, R.1    Kothari, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.