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Volumn , Issue , 2013, Pages 256-261

A novel sparse auto-encoder for deep unsupervised learning

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; NEURAL NETWORKS;

EID: 84896333951     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICACI.2013.6748512     Document Type: Conference Paper
Times cited : (40)

References (24)
  • 2
    • 84879854889 scopus 로고    scopus 로고
    • Representation learning: A review and new perspectives
    • special issue Learning Deep Architectures
    • Y. Bengio, "Representation learning: A review and new perspectives, " IEEE Trans. Pattern Anal. Mach. intell., special issue Learning Deep Architectures, 2013.
    • (2013) IEEE Trans. Pattern Anal. Mach. Intell.
    • Bengio, Y.1
  • 5
    • 0028319529 scopus 로고
    • Representations of quasi-Newton matrices and their use in limited memory methods
    • R. Byrd, J. Nocedal, and R. Schnabel, "Representations of quasi-Newton matrices and their use in limited memory methods, " Mathematical Programming, vol. 63, no. 1-3, pp. 129-156, 1994
    • (1994) Mathematical Programming , vol.63 , Issue.1-3 , pp. 129-156
    • Byrd, R.1    Nocedal, J.2    Schnabel, R.3
  • 7
    • 80053452783 scopus 로고    scopus 로고
    • Deep big simple neural nets excel on handwritten digit recognition
    • D. C. Ciresan, U. Meier, L. M. Gambardella, and J. Schmidhuber, "Deep big simple neural nets excel on handwritten digit recognition, " CORR, 2010.
    • (2010) CORR
    • Ciresan, D.C.1    Meier, U.2    Gambardella, L.M.3    Schmidhuber, J.4
  • 8
    • 33746600649 scopus 로고    scopus 로고
    • Reducing the dimensionality of data with neural networks
    • G. E. Hinton and R.R. Salakhutdinov, "Reducing the dimensionality of data with neural networks, " Science, vol. 313, no. 5786, pp. 504-507, 2006.
    • (2006) Science , vol.313 , Issue.5786 , pp. 504-507
    • Hinton, G.E.1    Salakhutdinov, R.R.2
  • 9
    • 33745805403 scopus 로고    scopus 로고
    • A fast learning algorithm for deep belief nets
    • G. E. Hinton, S. Osindero, and Y.W. The, "A fast learning algorithm for deep belief nets, " Neural computation, vol. 18, no. 7, pp. 1527-1554, 2006.
    • (2006) Neural Computation , vol.18 , Issue.7 , pp. 1527-1554
    • Hinton, G.E.1    Osindero, S.2    The, Y.W.3
  • 10
    • 84861125212 scopus 로고    scopus 로고
    • A practical guide to training restricted boltzmann machines
    • G. Hinton, "A practical guide to training Restricted Boltzmann Machines, " Momentum, vol. 9, no. 1, 2010.
    • (2010) Momentum , vol.9 , Issue.1
    • Hinton, G.1
  • 11
    • 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, " Computer Vision and Pattern Recognition, 2004.
    • (2004) Computer Vision and Pattern Recognition
    • Lecun, Y.1    Huang, F.2    Bottou, L.3
  • 18
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    • B. Olshausen and D. Field, "Emergence of simple-cell receptive field properties by learning a sparse code for natural images, " Nature, vol. 381, no. 6583, pp. 607-609, 1996.
    • (1996) Nature , vol.381 , Issue.6583 , pp. 607-609
    • Olshausen, B.1    Field, D.2
  • 20
    • 84945900998 scopus 로고    scopus 로고
    • Best practices for convolutional neural networks applied to visual document analysis
    • P. Simard, D. Steinkraus, and J. Platt, "Best practices for convolutional neural networks applied to visual document analysis, " ICDAR, vol. 3, pp. 958-962, 2003.
    • (2003) ICDAR , vol.3 , pp. 958-962
    • Simard, P.1    Steinkraus, D.2    Platt, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.