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Volumn 148, Issue , 2006, Pages 281-288

R1-PCA: Rotational invariant L1-norm principal component analysis for robust subspace factorization

Author keywords

[No Author keywords available]

Indexed keywords

ROBUST COVARIANCE MATRIX; ROBUST SUBSPACE FACTORIZATION; ROTATIONAL INVARIANT; SQUARED ERRORS;

EID: 34250776571     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1143844.1143880     Document Type: Conference Paper
Times cited : (478)

References (12)
  • 3
    • 14344257496 scopus 로고    scopus 로고
    • K-means clustering and principal component analysis
    • Ding, C., & He, X. (2004). K-means clustering and principal component analysis. Int'l Conf. Machine Learning.
    • (2004) Int'l Conf. Machine Learning
    • Ding, C.1    He, X.2
  • 6
    • 5044224548 scopus 로고    scopus 로고
    • Robust LI norm factorization in the presence of outliers and missing data by alternative convex programming
    • Ke, Q., & Kanade, T. (2004). Robust LI norm factorization in the presence of outliers and missing data by alternative convex programming. IEEE Conf. Computer Vision and Pattern Recognition (pp. 592-599).
    • (2004) IEEE Conf. Computer Vision and Pattern Recognition , pp. 592-599
    • Ke, Q.1    Kanade, T.2
  • 7
    • 14344249889 scopus 로고    scopus 로고
    • Feature selection, L1 vs. L2 regularization, and rotational invariance
    • Ng, A. (2004). Feature selection, L1 vs. L2 regularization, and rotational invariance. Proc. Int'l Conf. Machine Learning.
    • (2004) Proc. Int'l Conf. Machine Learning
    • Ng, A.1
  • 8
    • 85194972808 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • Tibshirani, R. (1996). Regression shrinkage and selection via the lasso. J. Royal Statist. Soc B., 58, 267-288.
    • (1996) J. Royal Statist. Soc B , vol.58 , pp. 267-288
    • Tibshirani, R.1
  • 9
    • 0141742284 scopus 로고    scopus 로고
    • A framework for robust subspace learning
    • Torre, F. D., & Black, M. J. (2003). A framework for robust subspace learning. Int'l J. Computer Vision, 117-142.
    • (2003) Int'l J. Computer Vision , pp. 117-142
    • Torre, F.D.1    Black, M.J.2
  • 10
    • 34250713824 scopus 로고    scopus 로고
    • Zha, H., Ding, C., Gu, M., He, X., & Simon, H. (2002). Spectral relaxation for K-means clustering. Advances in Neural Information Processing Systems 14 (NIPS'01), 1057-1064.
    • Zha, H., Ding, C., Gu, M., He, X., & Simon, H. (2002). Spectral relaxation for K-means clustering. Advances in Neural Information Processing Systems 14 (NIPS'01), 1057-1064.
  • 11
    • 8344290401 scopus 로고    scopus 로고
    • Low-rank approximations with sparse factors ii: Penalized methods with discrete newton-like iterations
    • Zhang, Z., Zha, H., &: Simon, H. (2004). Low-rank approximations with sparse factors ii: Penalized methods with discrete newton-like iterations. SIAM J. Matrix Analysis Applications, 901-920.
    • (2004) SIAM J. Matrix Analysis Applications , pp. 901-920
    • Zhang, Z.1    Zha, H.2    Simon, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.