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Volumn 19, Issue 7, 2007, Pages 1919-1938

SVDD-based pattern denoising

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFACT; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; HANDWRITING; NORMAL DISTRIBUTION;

EID: 34447263807     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2007.19.7.1919     Document Type: Article
Times cited : (49)

References (25)
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    • (1999) Advances in kernel methods - support vector learning
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  • 3
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    • A linear programming approach to novelty detection
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    • Campbell, C., & Bennett, K. P. (2001). A linear programming approach to novelty detection. In T. K. Leen, T. G. Dietterich, & V. Tresp (Eds.), Advances in neural information processing systems, 13, (pp. 395-401). Cambridge, MA: MIT Press.
    • (2001) Advances in neural information processing systems , vol.13 , pp. 395-401
    • Campbell, C.1    Bennett, K.P.2
  • 9
    • 0000457927 scopus 로고
    • Adding a point to vector diagrams in multivariate analysis
    • Gower, J. C. (1968). Adding a point to vector diagrams in multivariate analysis. Biometrika, 55(3), 582-585.
    • (1968) Biometrika , vol.55 , Issue.3 , pp. 582-585
    • Gower, J.C.1
  • 11
    • 84899015927 scopus 로고    scopus 로고
    • Robust novelty detection with single-class MPM
    • S. Becker, S. Thron, & K. Obermayer Eds, Cambridge, MA: MIT Press
    • Lanckriet, G. R. G., El Ghaoui, L., & Jordan, M. I. (2003). Robust novelty detection with single-class MPM. In S. Becker, S. Thron, & K. Obermayer (Eds.), Advances in neural information processing systems, 15, (pp. 905-912). Cambridge, MA: MIT Press.
    • (2003) Advances in neural information processing systems , vol.15 , pp. 905-912
    • Lanckriet, G.R.G.1    El Ghaoui, L.2    Jordan, M.I.3
  • 17
    • 84899008261 scopus 로고    scopus 로고
    • One-class LP classifiers for dissimilarity representations
    • S. Becker, S. Thrun, & K. Obermayer Eds, Cambridge, MA: MIT Press
    • Pekalska, E., Tax, D. M. J., & Duin, R. P. W. (2003). One-class LP classifiers for dissimilarity representations. In S. Becker, S. Thrun, & K. Obermayer (Eds.) Advances in neural information processing systems, 15 (pp. 761-768). Cambridge, MA: MIT Press.
    • (2003) Advances in neural information processing systems , vol.15 , pp. 761-768
    • Pekalska, E.1    Tax, D.M.J.2    Duin, R.P.W.3
  • 21
    • 4243890535 scopus 로고    scopus 로고
    • Kernel method for percentile feature extraction
    • MSR-TR-2000-22, Redmond, WA: Microsoft Research
    • Schölkopf, B., Platt, J. C., & Smola, A. J. (2000). Kernel method for percentile feature extraction (Tech. Rep. MSR-TR-2000-22). Redmond, WA: Microsoft Research.
    • (2000) Tech. Rep
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  • 23
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    • Tax, D. (2001). One-class classification. Unpublished doctoral/dissertation, Delft University of Technology.
    • Tax, D. (2001). One-class classification. Unpublished doctoral/dissertation, Delft University of Technology.
  • 24
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    • Support vector data description
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    • Williams, C.K.I.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.