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Volumn 3940 LNCS, Issue , 2006, Pages 103-114

Auxiliary variational information maximization for dimensionality reduction

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; DATA REDUCTION; FEATURE EXTRACTION; GAUSSIAN NOISE (ELECTRONIC); IMAGE RECONSTRUCTION; INFORMATION RETRIEVAL; PROJECTION SYSTEMS; STOCHASTIC CONTROL SYSTEMS;

EID: 33745873545     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11752790_6     Document Type: Conference Paper
Times cited : (1)

References (17)
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    • Mutual information, fisher information and population coding
    • Brunel, N., Nadal, J.P.: Mutual Information, Fisher Information and Population Coding. Neural Computation 10 (1998) 1731-1757
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    • Brunel, N.1    Nadal, J.P.2
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    • 0033556788 scopus 로고    scopus 로고
    • Mixtures of probabilistic principal component analyzers
    • Tipping, M.E., Bishop, C.M.: Mixtures of Probabilistic Principal Component Analyzers. Neural Computation 11(2) (1999) 443-482
    • (1999) Neural Computation , vol.11 , Issue.2 , pp. 443-482
    • Tipping, M.E.1    Bishop, C.M.2
  • 9
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    • Deriving receptive fields using an optimal encoding criterion
    • Steven Hanson, Jack Cowan, L.G.e., ed.: Morgan-Kaufmann
    • Linsker, R.: Deriving Receptive Fields Using an Optimal Encoding Criterion. In Steven Hanson, Jack Cowan, L.G.e., ed.: Advances in Neural Information Processing Systems. Volume 5., Morgan-Kaufmann (1993)
    • (1993) Advances in Neural Information Processing Systems , vol.5
    • Linsker, R.1
  • 10
    • 0002788893 scopus 로고    scopus 로고
    • A view of the em algorithm that justifies incremental, sparse, and other variants
    • Jordan, M., ed.: Kluwer Academic
    • Neal, R.M., Hinton, G.E.: A View of the EM Algorithm That Justifies Incremental, Sparse, and Other Variants. In Jordan, M., ed.: Learning in Graphical Models. Kluwer Academic (1998)
    • (1998) Learning in Graphical Models
    • Neal, R.M.1    Hinton, G.E.2
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    • An Algorithm for computing the capacity of arbitrary discrete memoryless channels
    • Arimoto, S.: An Algorithm for computing the capacity of arbitrary discrete memoryless channels. IT 18 (1972)
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    • Computation of channel capacity and rate-distortion functions
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.