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Volumn 2, Issue , 2003, Pages

Constrained subspace modelling

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; IMAGE COMPRESSION; MAXIMUM LIKELIHOOD ESTIMATION; PARAMETER ESTIMATION; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY; SIGNAL RECONSTRUCTION; SPEECH ANALYSIS;

EID: 0041941098     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (14)
  • 1
    • 78651329401 scopus 로고    scopus 로고
    • Bayesian PCA
    • In M. S. Kearns, S. A. Solla, and D. A. Cohn, editors; MIT Press
    • C. M. Bishop. Bayesian PCA. In M. S. Kearns, S. A. Solla, and D. A. Cohn, editors, Advances in Neural Information Processing Systems, volume 11, pages 382-388. MIT Press, 1999.
    • (1999) Advances in Neural Information Processing Systems , vol.11 , pp. 382-388
    • Bishop, C.M.1
  • 3
    • 85028639150 scopus 로고    scopus 로고
    • A morphable model for the synthesis of 3D faces
    • V. Blanz and T. Vetter. A morphable model for the synthesis of 3D faces. In Proc. ACM Siggraph, pages 187-194, 1999.
    • (1999) Proc. ACM Siggraph , pp. 187-194
    • Blanz, V.1    Vetter, T.2
  • 10
    • 0016495091 scopus 로고
    • Linear prediction: A tutorial review
    • J. Makhoul. Linear prediction: A tutorial review. Proceedings of the IEEE, 63(4):561-580, 1975.
    • (1975) Proceedings of the IEEE , vol.63 , Issue.4 , pp. 561-580
    • Makhoul, J.1
  • 11
    • 0001854616 scopus 로고    scopus 로고
    • Assessing relevance determination methods using DELVE
    • In C. M. Bishop, editor; Springer-Verlag
    • R. M. Neal. Assessing relevance determination methods using DELVE. In C. M. Bishop, editor, Neural Networks and Machine Learning, pages 97-129. Springer-Verlag, 1998.
    • (1998) Neural Networks and Machine Learning , pp. 97-129
    • Neal, R.M.1
  • 12
    • 0000209334 scopus 로고    scopus 로고
    • Local feature analysis: A general statistical theory for object representation
    • P. S. Penev and J. J. Atick. Local feature analysis: A general statistical theory for object representation. Network: Computation in Neural Systems, 7(3):477-500, 1996.
    • (1996) Network: Computation in Neural Systems , vol.7 , Issue.3 , pp. 477-500
    • Penev, P.S.1    Atick, J.J.2
  • 13
    • 0033556788 scopus 로고    scopus 로고
    • Mixtures of probabilistic principal component analyzers
    • M. E. Tipping and C. M. Bishop. Mixtures of probabilistic principal component analyzers. Neural Computation, 11(2):443-482, 1999.
    • (1999) Neural Computation , vol.11 , Issue.2 , pp. 443-482
    • Tipping, M.E.1    Bishop, C.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.