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Volumn 1, Issue , 2012, Pages 249-256

Robust PCA in high-dimension: A deterministic approach

Author keywords

[No Author keywords available]

Indexed keywords

BREAKDOWN POINTS; DATA SETS; DETERMINISTIC APPROACH; HIGH-DIMENSIONAL; REAL APPLICATIONS; ROBUST PCA;

EID: 84867121825     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (30)

References (16)
  • 3
    • 18744376591 scopus 로고    scopus 로고
    • High breakdown estimators for principal components: The projection-pursuit approach revisited
    • Croux, C. and Ruiz-Gazen, A. High breakdown estimators for principal components: the projection-pursuit approach revisited. Journal of Multivariate Analysis, 2005.
    • (2005) Journal of Multivariate Analysis
    • Croux, C.1    Ruiz-Gazen, A.2
  • 4
    • 48849086355 scopus 로고    scopus 로고
    • Optimal solutions for sparse principal component analysis
    • d'Aspremont, A., Bach, F., and Ghaoui, L. Optimal solutions for sparse principal component analysis. JMLR, 2008.
    • (2008) JMLR
    • D'Aspremont, A.1    Bach, F.2    Ghaoui, L.3
  • 6
    • 0346061723 scopus 로고    scopus 로고
    • High-dimensional data analysis: The curses and blessings of dimensionality
    • Donoho, D.L. High-dimensional data analysis: The curses and blessings of dimensionality. AMS Math Challenges Lecture, 2000.
    • (2000) AMS Math Challenges Lecture
    • Donoho, D.L.1
  • 8
    • 13444287831 scopus 로고    scopus 로고
    • Robpca: A new approach to robust principal component analysis
    • Hubert, M., Rousseeuw, P.J., and Branden, K.V. Robpca: a new approach to robust principal component analysis. Technometrics, 2005.
    • (2005) Technometrics
    • Hubert, M.1    Rousseeuw, P.J.2    Branden, K.V.3
  • 9
    • 0001337027 scopus 로고
    • Projection-pursuit approach to robust dispersion matrices and principal components: Primary theory and monte carlo
    • Li, G. and Chen, Z. Projection-pursuit approach to robust dispersion matrices and principal components: primary theory and monte carlo. Journal of the American Statistical Association, 1985.
    • (1985) Journal of the American Statistical Association
    • Li, G.1    Chen, Z.2
  • 10
    • 0002063041 scopus 로고
    • Robust m-estimators of multivariate location and scatter
    • Maronna, R.A. Robust m-estimators of multivariate location and scatter. The annals of statistics, 1976.
    • (1976) The Annals of Statistics
    • Maronna, R.A.1
  • 11
    • 0000325341 scopus 로고
    • On lines and planes of closest fit to systems of points in space
    • Pearson, K. On lines and planes of closest fit to systems of points in space. Philosophical Magazine, 1901.
    • (1901) Philosophical Magazine
    • Pearson, K.1
  • 15
    • 84860606154 scopus 로고    scopus 로고
    • Principal component analysis with contaminated data: The high dimensional case
    • Xu, H., Caramanis, C., and Manner, S. Principal component analysis with contaminated data: The high dimensional case. In COLT, 2010a.
    • (2010) COLT
    • Xu, H.1    Caramanis, C.2    Manner, S.3
  • 16


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.