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Volumn , Issue , 2011, Pages

Selecting receptive fields in deep networks

Author keywords

[No Author keywords available]

Indexed keywords

DEEP LEARNING; NETWORK ARCHITECTURE; NETWORK LAYERS; TECHNOLOGY TRANSFER;

EID: 85162494200     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (168)

References (21)
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    • 0030832881 scopus 로고    scopus 로고
    • The 'independent components' of natural scenes are edge filters
    • A. Bell and T. J. Sejnowski. The 'independent components' of natural scenes are edge filters. Vision Research, 37, 1997.
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    • Bell, A.1    Sejnowski, T.J.2
  • 6
    • 80053442434 scopus 로고    scopus 로고
    • The importance of encoding versus training with sparse coding and vector quantization
    • A. Coates and A. Y. Ng. The importance of encoding versus training with sparse coding and vector quantization. In International Conference on Machine Learning, 2011.
    • (2011) International Conference on Machine Learning
    • Coates, A.1    Ng, A.Y.2
  • 9
    • 33845597145 scopus 로고    scopus 로고
    • Large-scale learning with SVM and convolutional nets for generic object categorization
    • F. Huang and Y. LeCun. Large-scale learning with SVM and convolutional nets for generic object categorization. In Computer Vision and Pattern Recognition, 2006.
    • (2006) Computer Vision and Pattern Recognition
    • Huang, F.1    Lecun, Y.2
  • 10
    • 0035409349 scopus 로고    scopus 로고
    • Topographic independent component analysis
    • A. Hyvarinen, P. Hoyer, and M. Inki. Topographic independent component analysis. Neural Computation, 13(7):1527-1558, 2001.
    • (2001) Neural Computation , vol.13 , Issue.7 , pp. 1527-1558
    • Hyvarinen, A.1    Hoyer, P.2    Inki, M.3
  • 11
    • 0042826822 scopus 로고    scopus 로고
    • Independent component analysis: Algorithms and applications
    • A. Hyvarinen and E. Oja. Independent component analysis: algorithms and applications. Neural networks, 13(4-5):411-430, 2000.
    • (2000) Neural Networks , vol.13 , Issue.4-5 , pp. 411-430
    • Hyvarinen, A.1    Oja, E.2
  • 14
    • 5044231640 scopus 로고    scopus 로고
    • Learning methods for generic object recognition with invariance to pose and lighting
    • Y. LeCun, F. Huang, and L. Bottou. Learning methods for generic object recognition with invariance to pose and lighting. In Computer Vision and Pattern Recognition, 2004.
    • (2004) Computer Vision and Pattern Recognition
    • Lecun, Y.1    Huang, F.2    Bottou, L.3
  • 15
  • 17
    • 73449129720 scopus 로고    scopus 로고
    • A high-throughput screening approach to discovering good forms of biologically inspired visual representation
    • N. Pinto, D. Doukhan, J. J. DiCarlo, and D. D. Cox. A high-throughput screening approach to discovering good forms of biologically inspired visual representation. PLoS Comput Biol, 2009.
    • (2009) PLoS Comput Biol
    • Pinto, N.1    Doukhan, D.2    Dicarlo, J.J.3    Cox, D.D.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.