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Volumn , Issue , 2009, Pages 1363-1368

Multiclass probabilistic kernel discriminant analysis

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE;

EID: 78650041659     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (26)
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    • The dc (difference of convex functions) programming and dca revisited with dc models of real world nonconvex optimization problems
    • Le Thi Hoai An and Pham Dinh Tao. The dc (difference of convex functions) programming and dca revisited with dc models of real world nonconvex optimization problems. Annals of Operations Research, 133:23-46, 2005.
    • (2005) Annals of Operations Research , vol.133 , pp. 23-46
    • An, L.T.H.1    Tao, P.D.2
  • 3
    • 33646337913 scopus 로고    scopus 로고
    • Optimising kernel parameters and regularisation coefficients for non-linear discriminant analysis
    • Tonatiuh Pena Centeno and Neil D. Lawrence. Optimising kernel parameters and regularisation coefficients for non-linear discriminant analysis. J. Mach. Learn. Res., 7:455-491, 2006.
    • (2006) J. Mach. Learn. Res. , vol.7 , pp. 455-491
    • Centeno, T.P.1    Lawrence, N.D.2
  • 7
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    • 1342310014 scopus 로고    scopus 로고
    • Structure preserving dimension reduction for clustered text data based on the generalized singular value decomposition
    • P. Howland, M. Jeon, and H. Park. Structure preserving dimension reduction for clustered text data based on the generalized singular value decomposition. SIAM Journal on Matrix Analysis and Applications,, 25:165-179, 2003.
    • (2003) SIAM Journal on Matrix Analysis and Applications , vol.25 , pp. 165-179
    • Howland, P.1    Jeon, M.2    Park, H.3
  • 11
    • 33745859992 scopus 로고    scopus 로고
    • Probabilistic linear discriminant analysis
    • Sergey Ioffe. Probabilistic linear discriminant analysis. In ECCV, 2006.
    • (2006) ECCV
    • Ioffe, S.1
  • 14
    • 34250122797 scopus 로고
    • Interpolation of scattered data: Distance matrices and conditionally positive definite functions
    • C. A. Micchelli. Interpolation of scattered data: Distance matrices and conditionally positive definite functions. Constructive Approximation, 2:11-22, 1984.
    • (1984) Constructive Approximation , vol.2 , pp. 11-22
    • Micchelli, C.A.1
  • 17
    • 84896062664 scopus 로고    scopus 로고
    • Infinite mixtures of gaussian process experts
    • The MIT Press
    • Carl Edward Rasmussen and Zoubin Ghahramani. Infinite mixtures of gaussian process experts. In NIPS, The MIT Press, 2002.
    • (2002) NIPS
    • Rasmussen, C.E.1    Ghahramani, Z.2
  • 20
    • 33646380511 scopus 로고    scopus 로고
    • Sparse gaussian processes using pseudo-inputs
    • The MIT Press
    • E. Snelson and Z Ghahramani. Sparse gaussian processes using pseudo-inputs. In NIPS 18, The MIT Press, 2006.
    • (2006) NIPS , vol.18
    • Snelson, E.1    Ghahramani, Z.2
  • 22
    • 15844362098 scopus 로고    scopus 로고
    • Robust bayesian mixture modelling
    • Markus Svensen and Christopher M. Bishop. Robust bayesian mixture modelling. Neurocomputing, 64:235-252, 2005.
    • (2005) Neurocomputing , vol.64 , pp. 235-252
    • Svensen, M.1    Bishop, C.M.2
  • 23
    • 0034320395 scopus 로고    scopus 로고
    • A bayesian committee machine
    • V. Tresp. A bayesian committee machine. Neural Computation, 12:2719-2741, 2000.
    • (2000) Neural Computation , vol.12 , pp. 2719-2741
    • Tresp, V.1
  • 25
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    • Multi-class discriminant kernel learning via convex programming
    • Jieping Ye, Shuiwang Ji, and Jianhui Chen. Multi-class discriminant kernel learning via convex programming. J. Mach. Learn. Res., 9:719-758, 2008.
    • (2008) J. Mach. Learn. Res. , vol.9 , pp. 719-758
    • Ye, J.1    Ji, S.2    Chen, J.3
  • 26
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    • Least squares linear discriminant analysis
    • Jieping Ye. Least squares linear discriminant analysis. In ICML, 2007.
    • (2007) ICML
    • Ye, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.