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Volumn , Issue , 2009, Pages 1193-1200

Robust feature extraction via information theoretic learning

Author keywords

[No Author keywords available]

Indexed keywords

CLASS LABELS; INFORMATION POTENTIAL; INFORMATION THEORETIC LEARNING; M-ESTIMATORS; OBJECTIVE FUNCTIONS; QUADRATIC OPTIMIZATION; REAL WORLD DATA;

EID: 71149108231     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (103)

References (21)
  • 1
    • 33750729556 scopus 로고    scopus 로고
    • Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
    • Belkin, M., Niyogi, P., & Sindhwani, V. (2006). Manifold regularization: A geometric framework for learning from labeled and unlabeled examples. Journal of Machine Learning Research, 2399-2434.
    • (2006) Journal of Machine Learning Research , pp. 2399-2434
    • Belkin, M.1    Niyogi, P.2    Sindhwani, V.3
  • 2
    • 36649009540 scopus 로고    scopus 로고
    • Srda: An efficient algorithm for large-scale discriminant analysis
    • Cai, D., He, X., & Han, J. (2008). Srda: An efficient algorithm for large-scale discriminant analysis. IEEE Transactions on Knowledge and Data Engineering, 20(1), 1-12.
    • (2008) IEEE Transactions on Knowledge and Data Engineering , vol.20 , Issue.1 , pp. 1-12
    • Cai, D.1    He, X.2    Han, J.3
  • 4
    • 33644973537 scopus 로고    scopus 로고
    • Robust locally linear embedding
    • Chang, H., & Yeung, D.-Y. (2006). Robust locally linear embedding. Pattern Recognition, 39(6), 1053-1065.
    • (2006) Pattern Recognition , vol.39 , Issue.6 , pp. 1053-1065
    • Chang, H.1    Yeung, D.-Y.2
  • 10
    • 70049113266 scopus 로고    scopus 로고
    • Kernel maximum entropy data transformation and an enhanced spectral clustering algorithm
    • Cambridge, MA: MIT Press
    • Jenssen, R., Eltoft, T., Girolami, M., & Erdogmus, D. (2006). Kernel maximum entropy data transformation and an enhanced spectral clustering algorithm. Advances in Neural Information Processing Systems 19 (pp. 633-640). Cambridge, MA: MIT Press.
    • (2006) Advances in Neural Information Processing Systems 19 , pp. 633-640
    • Jenssen, R.1    Eltoft, T.2    Girolami, M.3    Erdogmus, D.4
  • 13
    • 36249029853 scopus 로고    scopus 로고
    • Correntropy: Properties and applications in non-gaussian signal processing
    • Liu, W., Pokharel, P. P., & Principe, J. C. (2007). Correntropy: Properties and applications in non-gaussian signal processing. IEEE Transactions on Signal Processing, 55(11), 5286-5298.
    • (2007) IEEE Transactions on Signal Processing , vol.55 , Issue.11 , pp. 5286-5298
    • Liu, W.1    Pokharel, P.P.2    Principe, J.C.3
  • 14
    • 0033236904 scopus 로고    scopus 로고
    • Breakdown points and variation exponents of robust m-estimators in linear models
    • Mizera, I., & Muller, C. (1999). Breakdown points and variation exponents of robust m-estimators in linear models. Annals of Statistics, 27, 1164-1177.
    • (1999) Annals of Statistics , vol.27 , pp. 1164-1177
    • Mizera, I.1    Muller, C.2
  • 15
    • 0036507674 scopus 로고    scopus 로고
    • Breakdown points of cauchy regression-scale estimators
    • Mizera, I., & Muller, C. (2002). Breakdown points of cauchy regression-scale estimators. Statistics and Probability Letters, 57, 79-89.
    • (2002) Statistics and Probability Letters , vol.57 , pp. 79-89
    • Mizera, I.1    Muller, C.2
  • 19
    • 1942450610 scopus 로고    scopus 로고
    • Feature extraction by nonpara-metric mutual information maximization
    • Torkkola, K. (2003). Feature extraction by nonpara-metric mutual information maximization. Journal of Machine Learning Research, 3, 1415-1438.
    • (2003) Journal of Machine Learning Research , vol.3 , pp. 1415-1438
    • Torkkola, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.