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Volumn , Issue , 2013, Pages 171-176

Robust principal component analysis for sparse face recognition

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIANS; OUTLIER PROBLEM; PROJECTION SPACE; ROBUST PCA; ROBUST PRINCIPAL COMPONENT ANALYSIS; SPARSE REPRESENTATION; TESTING SAMPLES; WEIGHTED REGRESSION;

EID: 84883213016     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICIP.2013.6568062     Document Type: Conference Paper
Times cited : (3)

References (17)
  • 4
    • 33749255817 scopus 로고    scopus 로고
    • R1-pca: Rotational invariant l 1-norm principal component analysis for robust subspace factorization
    • C. Ding, D. Zhou, X. He, and H. Zha, "R1-pca: rotational invariant l 1-norm principal component analysis for robust subspace factorization, " in The 23rd international conference on Machine learning, pp. 281-288, 2006.
    • (2006) The 23rd International Conference on Machine Learning , pp. 281-288
    • Ding, C.1    Zhou, D.2    He, X.3    Zha, H.4
  • 5
    • 33745179218 scopus 로고    scopus 로고
    • Robust l1 norm factorization in the presence of outliers and missing data by alternative convex programming
    • Q. Ke and T. Kanade, "Robust l1 norm factorization in the presence of outliers and missing data by alternative convex programming, " in IEEE Computer Society Conference on Computer Vision and Pattern Recognition(CVPR), vol. 1, pp. 739-746, 2005.
    • (2005) IEEE Computer Society Conference on Computer Vision and Pattern Recognition(CVPR) , vol.1 , pp. 739-746
    • Ke, Q.1    Kanade, T.2
  • 7
    • 48049103479 scopus 로고    scopus 로고
    • Principal component analysis based on l1-norm maximization
    • N. Kwak, "Principal component analysis based on l1-norm maximization, " IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 9, pp. 1672-1680, 2008.
    • (2008) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.30 , Issue.9 , pp. 1672-1680
    • Kwak, N.1
  • 8
    • 0001337027 scopus 로고
    • Projection-pursuit approach to robust dispersion matrices and principal components: Primary theory and monte carlo
    • G. Li and Z. Chen, "Projection-pursuit approach to robust dispersion matrices and principal components: primary theory and monte carlo, " Journal of the American Statistical Association, vol. 80, no. 391, pp. 759-766, 1985.
    • (1985) Journal of the American Statistical Association , vol.80 , Issue.391 , pp. 759-766
    • Li, G.1    Chen, Z.2
  • 14
    • 84883252335 scopus 로고    scopus 로고
    • Catholic University of Leuven Department of Decision Science and Information Management Working Paper
    • C. Croux, P. Filzmoser, and H. Fritz, "Robust sparse principal component analysis, " Catholic University of Leuven Department of Decision Science and Information Management Working Paper No. 1113, 2011.
    • (2011) Robust Sparse Principal Component Analysis , Issue.1113
    • Croux, C.1    Filzmoser, P.2    Fritz, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.