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Volumn 07-12-June-2015, Issue , 2015, Pages 1984-1992

Efficient and accurate approximations of nonlinear convolutional networks

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS; COMPUTER VISION; CONSTRAINED OPTIMIZATION; CONVOLUTION; ERRORS; NEURAL NETWORKS; NONLINEAR PROGRAMMING; OPTIMIZATION;

EID: 84959238721     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2015.7298809     Document Type: Conference Paper
Times cited : (303)

References (24)
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    • K. Chatfield, K. Simonyan, A. Vedaldi, and A. Zisserman. Return of the devil in the details: Delving deep into convolutional nets. In BMVC, 2014
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  • 3
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    • Denton, E.1    Zaremba, W.2    Bruna, J.3    LeCun, Y.4    Fergus, R.5
  • 4
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    • Rich feature hierarchies for accurate object detection and semantic segmentation
    • R. Girshick, J. Donahue, T. Darrell, and J. Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In CVPR, 2014
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    • Girshick, R.1    Donahue, J.2    Darrell, T.3    Malik, J.4
  • 10
    • 85062833929 scopus 로고    scopus 로고
    • Speeding up convolutional neural networks with low rank expansions
    • M. Jaderberg, A. Vedaldi, and A. Zisserman. Speeding up convolutional neural networks with low rank expansions. In BMVC, 2014
    • (2014) BMVC
    • Jaderberg, M.1    Vedaldi, A.2    Zisserman, A.3
  • 11
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    • Imagenet classification with deep convolutional neural networks
    • A. Krizhevsky, I. Sutskever, and G. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, 2012
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    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.3
  • 14
    • 77956509090 scopus 로고    scopus 로고
    • Rectified linear units improve restricted boltzmann machines
    • V. Nair and G. E. Hinton. Rectified linear units improve restricted boltzmann machines. In ICML, pages 807-814, 2010
    • (2010) ICML , pp. 807-814
    • Nair, V.1    Hinton, G.E.2
  • 21
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    • Generalized constrained redundancy analysis
    • Y. Takane and S. Jung. Generalized constrained redundancy analysis. Behaviormetrika, pages 179-192, 2006
    • (2006) Behaviormetrika , pp. 179-192
    • Takane, Y.1    Jung, S.2
  • 23
    • 77955996870 scopus 로고    scopus 로고
    • Locality-constrained linear coding for image classification
    • J. Wang, J. Yang, K. Yu, F. Lv, T. Huang, and Y. Gong. Locality-constrained linear coding for image classification. In CVPR, 2010
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    • Wang, J.1    Yang, J.2    Yu, K.3    Lv, F.4    Huang, T.5    Gong, Y.6
  • 24
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    • Visualizing and understanding convolutional neural networks
    • M. D. Zeiler and R. Fergus. Visualizing and understanding convolutional neural networks. In ECCV, 2014.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.