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Volumn 10, Issue 1, 2010, Pages 67-91

Mathematics of the neural response

Author keywords

Computer vision; Kernels; Unsupervised learning

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER VISION; MATHEMATICAL TECHNIQUES; UNSUPERVISED LEARNING;

EID: 75849157565     PISSN: 16153375     EISSN: 16153383     Source Type: Journal    
DOI: 10.1007/s10208-009-9049-1     Document Type: Article
Times cited : (44)

References (20)
  • 1
    • 5844297152 scopus 로고
    • Theory of reproducing kernels
    • N. Aronszajn, Theory of reproducing kernels, Trans. Am. Math. Soc. 68, 337-404 (1950).
    • (1950) Trans. Am. Math. Soc. , vol.68 , pp. 337-404
    • Aronszajn, N.1
  • 5
    • 33744770935 scopus 로고    scopus 로고
    • Cambridge Monographs on Applied and Computational Mathematics, Cambridge: Cambridge University Press
    • F. Cucker, D. X. Zhou, Learning Theory: An Approximation Theory Viewpoint. Cambridge Monographs on Applied and Computational Mathematics (Cambridge University Press, Cambridge, 2007).
    • (2007) Learning Theory: An Approximation Theory Viewpoint
    • Cucker, F.1    Zhou, D.X.2
  • 7
    • 0019152630 scopus 로고
    • Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
    • K. Fukushima, Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position, Biol. Cybern. 36, 193-202 (1980).
    • (1980) Biol. Cybern. , vol.36 , pp. 193-202
    • Fukushima, K.1
  • 8
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • Y. LeCun, L. Bottou, Y. Bengio, P. Haffner, Gradient-based learning applied to document recognition, Proc. IEEE86(11), 2278-2324 (1998).
    • (1998) Proc. IEEE , vol.86 , Issue.11 , pp. 2278-2324
    • Lecun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 9
    • 0242705996 scopus 로고    scopus 로고
    • The mathematics of learning: Dealing with data
    • T. Poggio, S. Smale, The mathematics of learning: Dealing with data, Not. Am. Math. Soc. (AMS), 50(5) (2003).
    • (2003) Not. Am. Math. Soc. (AMS) , vol.50 , Issue.5
    • Poggio, T.1    Smale, S.2
  • 10
    • 0033316361 scopus 로고    scopus 로고
    • Hierarchical models of object recognition in cortex
    • M. Riesenhuber, T. Poggio, Hierarchical models of object recognition in cortex, Nat. Neurosci. 2, 1019-1025 (1999).
    • (1999) Nat. Neurosci. , vol.2 , pp. 1019-1025
    • Riesenhuber, M.1    Poggio, T.2
  • 14
    • 34247096930 scopus 로고    scopus 로고
    • A feedforward architecture accounts for rapid categorization
    • T. Serre, A. Oliva, T. Poggio, A feedforward architecture accounts for rapid categorization, Proc. Natl. Acad. Sci. 104, 6424-6429 (2007).
    • (2007) Proc. Natl. Acad. Sci. , vol.104 , pp. 6424-6429
    • Serre, T.1    Oliva, A.2    Poggio, T.3
  • 18
    • 0036307392 scopus 로고    scopus 로고
    • Visual features of intermediate complexity and their use in classification
    • S. Ullman, M. Vidal-Naquet, E. Sali, Visual features of intermediate complexity and their use in classification, Nat. Neurosci. 5(7), 682-687 (2002).
    • (2002) Nat. Neurosci. , vol.5 , Issue.7 , pp. 682-687
    • Ullman, S.1    Vidal-Naquet, M.2    Sali, E.3
  • 20
    • 0038159929 scopus 로고    scopus 로고
    • Learning optimized features for hierarchical models of invariant recognition
    • H. Wersing, E. Koerner, Learning optimized features for hierarchical models of invariant recognition, Neural Comput. 15(7), 1559-1588 (2003).
    • (2003) Neural Comput. , vol.15 , Issue.7 , pp. 1559-1588
    • Wersing, H.1    Koerner, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.