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Volumn , Issue , 2012, Pages

Divergence-based one-class classification using Gaussian processes

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC);

EID: 84898494287     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.26.50     Document Type: Conference Paper
Times cited : (3)

References (15)
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    • (2010) ACCV , pp. 489-500
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    • 27844605876 scopus 로고    scopus 로고
    • Probabilistic non-linear principal component analysis with gaussian process latent variable models
    • Neil D. Lawrence. Probabilistic non-linear principal component analysis with gaussian process latent variable models. Journal of Machine Learning Research, 6:1783-1816, 2005.
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    • Lawrence, N.D.1
  • 8
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    • Divergence measures based on the shannon entropy
    • Jianhua Lin. Divergence measures based on the shannon entropy. IEEE Transactions on Information Theory, 37(1):145-151, 1991.
    • (1991) IEEE Transactions on Information Theory , vol.37 , Issue.1 , pp. 145-151
    • Lin, J.1
  • 10
    • 70449580824 scopus 로고    scopus 로고
    • Model learning with local gaussian process regression
    • Duy Nguyen-Tuong, Matthias W. Seeger, and Jan Peters. Model learning with local gaussian process regression. Advanced Robotics, 23(15):2015-2034, 2009.
    • (2009) Advanced Robotics , vol.23 , Issue.15 , pp. 2015-2034
    • Nguyen-Tuong, D.1    Seeger, M.W.2    Peters, J.3
  • 11
    • 56349122110 scopus 로고    scopus 로고
    • Approximations for binary gaussian process classification
    • Hannes Nickisch and Carl E. Rasmussen. Approximations for binary gaussian process classification. Journal of Machine Learning Research, 9:2035-2078, 2008.
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    • Nickisch, H.1    Rasmussen, C.E.2
  • 14
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    • PhD thesis, Delft University of Technology, June
    • David M. J. Tax. One-class classification. PhD thesis, Delft University of Technology, June 2001.
    • (2001) One-class Classification
    • Tax, D.M.J.1
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    • 0942266514 scopus 로고    scopus 로고
    • Support vector data description
    • David M. J. Tax and Robert P. W. Duin. Support vector data description. Machine Learning, 54(1):45-66, 2004.
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    • Tax, D.M.J.1    Duin, R.P.W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.