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Volumn , Issue , 2002, Pages 253-260

Kernel-based Extraction of Slow Features: Complex Cells Learn Disparity and Translation Invariance from Natural Images

Author keywords

[No Author keywords available]

Indexed keywords

CELLS; CYTOLOGY; IMAGE CODING;

EID: 85156213773     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (16)
  • 1
    • 0036546660 scopus 로고    scopus 로고
    • Slow feature analysis: Unsupervised learning of invariances
    • L. Wiskott and T.J. Sejnowski. Slow feature analysis: Unsupervised learning of invariances. Neural Computation, 14(4), 2002.
    • (2002) Neural Computation , vol.14 , Issue.4
    • Wiskott, L.1    Sejnowski, T.J.2
  • 2
    • 0040357675 scopus 로고
    • A learning rule for extracting spatio-temporal invariances
    • J. V. Stone and A. J. Bray. A learning rule for extracting spatio-temporal invariances. Network: Computation in Neural Systems, 6(3):429-436, 1995.
    • (1995) Network: Computation in Neural Systems , vol.6 , Issue.3 , pp. 429-436
    • Stone, J. V.1    Bray, A. J.2
  • 3
    • 0035406144 scopus 로고    scopus 로고
    • Blind source separation using temporal predictability
    • 200l
    • James V. Stone. Blind source separation using temporal predictability. Neural Computation, (13):1559-1574, 200l.
    • Neural Computation , Issue.13 , pp. 1559-1574
    • Stone, James V.1
  • 4
    • 0000188120 scopus 로고
    • Learning invariance from transformation sequences
    • P. Foldiak. Learning invariance from transformation sequences. Neural Computation, 3(2):194-200, 1991.
    • (1991) Neural Computation , vol.3 , Issue.2 , pp. 194-200
    • Foldiak, P.1
  • 6
    • 0032774087 scopus 로고    scopus 로고
    • Self-organisation of shift-invariant receptive fields
    • K. Fukushima. Self-organisation of shift-invariant receptive fields. Neural Networks, 12:826-834, 1999.
    • (1999) Neural Networks , vol.12 , pp. 826-834
    • Fukushima, K.1
  • 7
    • 18144362706 scopus 로고    scopus 로고
    • Learning viewpoint invariant face representations from visual experience in an attractor network
    • M. Stewart Bartlett and T.J. Sejnowski. Learning viewpoint invariant face representations from visual experience in an attractor network. Network: Computation in Neural Systems, 9(3):399-417, 1998.
    • (1998) Network: Computation in Neural Systems , vol.9 , Issue.3 , pp. 399-417
    • Stewart Bartlett, M.1    Sejnowski, T.J.2
  • 8
    • 0034320535 scopus 로고    scopus 로고
    • A model of invariant object recognition in the visual system: Learning rules, activation functions, lateral inhibition, and information-based performance measures
    • E. T. Rolls and T. Milward. A model of invariant object recognition in the visual system: Learning rules, activation functions, lateral inhibition, and information-based performance measures. Neural Computation, 12:2547-2572, 2000.
    • (2000) Neural Computation , vol.12 , pp. 2547-2572
    • Rolls, E. T.1    Milward, T.2
  • 9
    • 0030265917 scopus 로고    scopus 로고
    • Learning perceptually salient visual parameters using spatiotemporal smoothness constraints
    • October
    • J. V. Stone. Learning perceptually salient visual parameters using spatiotemporal smoothness constraints. Neural Computation, 8(7):1463-1492, October 1996.
    • (1996) Neural Computation , vol.8 , Issue.7 , pp. 1463-1492
    • Stone, J. V.1
  • 10
    • 84958967351 scopus 로고    scopus 로고
    • Extracting slow subspaces from natural videos leads to complex cells
    • Springer-Verlag Berlin Heidelberg 200l
    • K. Kayser, W. Einhiiuser, O. Dummer, P. Konig, and K. Kording. Extracting slow subspaces from natural videos leads to complex cells. In ICANN 2001, LNCS 2130, pages 1075-1080. Springer-Verlag Berlin Heidelberg 2001, 200l.
    • (2001) ICANN 2001, LNCS 2130 , pp. 1075-1080
    • Kayser, K.1    Einhiiuser, W.2    Dummer, O.3    Konig, P.4    Kording, K.5
  • 12
    • 0037276906 scopus 로고    scopus 로고
    • Nonlinear blind source separation using kernels
    • Jan
    • D. Martinez and A. Bray. Nonlinear blind source separation using kernels. IEEE Trans. Neural Networks, 14(1):228-235, Jan. 2003.
    • (2003) IEEE Trans. Neural Networks , vol.14 , Issue.1 , pp. 228-235
    • Martinez, D.1    Bray, A.2
  • 14
    • 0030832881 scopus 로고    scopus 로고
    • The independent components of natural scenes are edge filters
    • A. J. Bell and T. J. Sejnowski. The independent components of natural scenes are edge filters. Vision Research, 37:3327-3338, 1997.
    • (1997) Vision Research , vol.37 , pp. 3327-3338
    • Bell, A. J.1    Sejnowski, T. J.2
  • 15
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    • B.A. Olhausen and D.J. Field. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature, 381:607-609, 1996.
    • (1996) Nature , vol.381 , pp. 607-609
    • Olhausen, B.A.1    Field, D.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.