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Volumn 5769 LNCS, Issue PART 2, 2009, Pages 623-632

Learning features by contrasting natural images with noise

Author keywords

Classifier; Features; Learning; Natural image statistics

Indexed keywords

FEATURES; MULTIPLE LAYERS; NATURAL IMAGE STATISTICS; NATURAL IMAGES; NON-LINEARITY; OPTIMAL SHAPE; PROBABILISTIC MODELS; REFERENCE DATA; STATISTICAL STRUCTURES;

EID: 70450174832     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04277-5_63     Document Type: Conference Paper
Times cited : (4)

References (8)
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    • Teh, Y., Welling, M., Osindero, S., Hinton, G.: Energy-based models for sparse overcomplete representations. J. Mach. Learn. Res. 4(7-8), 1235-1260 (2004)
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    • Teh, Y.1    Welling, M.2    Osindero, S.3    Hinton, G.4
  • 4
    • 22044434800 scopus 로고    scopus 로고
    • Estimation of non-normalized statistical models using score matching
    • Hyvärinen, A.: Estimation of non-normalized statistical models using score matching. J. Mach. Learn Res. 6, 695-709 (2005)
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    • Hyvärinen, A.1
  • 6
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    • A direct adapatative method for faster backpropagation learning: The rprop algorithm
    • Ruspini, H, ed
    • Riedmiller, M., Braun, H.: A direct adapatative method for faster backpropagation learning: The rprop algorithm. In: Ruspini, H. (ed.) Proc. IEEE Int Conference on Neural Networks (ICNN), pp. 586-591 (1993)
    • (1993) Proc. IEEE Int Conference on Neural Networks (ICNN) , pp. 586-591
    • Riedmiller, M.1    Braun, H.2
  • 7
    • 0037241705 scopus 로고    scopus 로고
    • Connection between multilayer perceptrons and regression using independent component analysis
    • Hyvärinen, A., Bingham, E.: Connection between multilayer perceptrons and regression using independent component analysis. Neurocomp. 50(C), 211-222 (2003)
    • (2003) Neurocomp , vol.50 , Issue.C , pp. 211-222
    • Hyvärinen, A.1    Bingham, E.2
  • 8
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    • Network model of shape-from-shading: Neural function arises from both receptive and projective fields
    • Lehky, S., Sejnowski, T.: Network model of shape-from-shading: neural function arises from both receptive and projective fields. Nature 333, 452-454 (1988)
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    • Lehky, S.1    Sejnowski, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.