메뉴 건너뛰기




Volumn , Issue , 2010, Pages

Tiled convolutional neural networks

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS; CONVOLUTION; LEARNING ALGORITHMS; NETWORK ARCHITECTURE; NEURAL NETWORKS; OBJECT RECOGNITION;

EID: 85161972005     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (280)

References (30)
  • 2
    • 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. In ICDAR, 2003.
    • (2003) ICDAR
    • Simard, P.1    Steinkraus, D.2    Platt, J.3
  • 3
    • 5044231640 scopus 로고    scopus 로고
    • Learning methods for generic object recognition with invariance to pose and lighting
    • Y. LeCun, F.J. Huang, and L. Bottou. Learning methods for generic object recognition with invariance to pose and lighting. In CVPR, 2004.
    • (2004) CVPR
    • Lecun, Y.1    Huang, F.J.2    Bottou, L.3
  • 4
    • 56449095373 scopus 로고    scopus 로고
    • A unified architecture for natural language processing: Deep neural networks with multitask learning
    • R. Collobert and J.Weston. A unified architecture for natural language processing: Deep neural networks with multitask learning. In ICML, 2008.
    • (2008) ICML
    • Collobert, R.1    Weston, J.2
  • 5
    • 51949106645 scopus 로고    scopus 로고
    • Self-taught learning: Transfer learning from unlabeled data
    • Rajat Raina, Alexis Battle, Honglak Lee, Benjamin Packer, and Andrew Y. Ng. Self-taught learning: Transfer learning from unlabeled data. In ICML, 2007.
    • (2007) ICML
    • Raina, R.1    Battle, A.2    Lee, H.3    Packer, B.4    Ng, A.Y.5
  • 8
    • 80052893029 scopus 로고    scopus 로고
    • Topographic independent component analysis as a model of V1 organization and receptive fields
    • A. Hyvarinen and P. Hoyer. Topographic independent component analysis as a model of V1 organization and receptive fields. Neural Computation, 2001.
    • (2001) Neural Computation
    • Hyvarinen, A.1    Hoyer, P.2
  • 10
    • 77956002520 scopus 로고    scopus 로고
    • Learning multiple layers of features from tiny images
    • A. Krizhevsky. Learning multiple layers of features from tiny images. Technical report, U. Toronto, 2009.
    • (2009) Technical Report, U. Toronto
    • Krizhevsky, A.1
  • 11
    • 71149119164 scopus 로고    scopus 로고
    • Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
    • H. Lee, R. Grosse, R. Ranganath, and A.Y. Ng. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. In ICML, 2009.
    • (2009) ICML
    • Lee, H.1    Grosse, R.2    Ranganath, R.3    Ng, A.Y.4
  • 12
    • 77953183471 scopus 로고    scopus 로고
    • What is the best multi-stage architecture for object recognition?
    • M.A. Ranzato K. Jarrett, K. Kavukcuoglu and Y. LeCun. What is the best multi-stage architecture for object recognition? In ICCV, 2009.
    • (2009) ICCV
    • Ranzato, M.A.1    Jarrett, K.2    Kavukcuoglu, K.3    Lecun, Y.4
  • 14
    • 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, 1996.
    • (1996) Nature
    • Olshausen, B.1    Field, D.2
  • 16
    • 22044434800 scopus 로고    scopus 로고
    • Estimation of non-normalized statistical models using score matching
    • A. Hyvarinen. Estimation of non-normalized statistical models using score matching. JMLR, 2005.
    • (2005) JMLR
    • Hyvarinen, A.1
  • 17
    • 70450177775 scopus 로고    scopus 로고
    • Learning invariant features through topographic filter maps
    • K. Kavukcuoglu, M.A. Ranzato, R. Fergus, and Y. LeCun. Learning invariant features through topographic filter maps. In CVPR, 2009.
    • (2009) CVPR
    • Kavukcuoglu, K.1    Ranzato, M.A.2    Fergus, R.3    Lecun, Y.4
  • 19
    • 78149306047 scopus 로고    scopus 로고
    • 3D object recognition with deep belief nets
    • V. Nair and G. Hinton. 3D object recognition with deep belief nets. In NIPS, 2009.
    • (2009) NIPS
    • Nair, V.1    Hinton, G.2
  • 21
    • 84862293074 scopus 로고    scopus 로고
    • Efficient learning of Deep Boltzmann Machines
    • R. Salakhutdinov and H. Larochelle. Efficient learning of Deep Boltzmann Machines. In AISTATS, 2010.
    • (2010) AISTATS
    • Salakhutdinov, R.1    Larochelle, H.2
  • 22
    • 50949133669 scopus 로고    scopus 로고
    • LIBLINEAR: A library for large linear classification
    • R.E. Fan, K.W. Chang, C.J. Hsieh, X.R. Wang, and C.J. Lin. LIBLINEAR: A library for large linear classification. JMLR, 9:1871-1874, 2008.
    • (2008) JMLR , vol.9 , pp. 1871-1874
    • Fan, R.E.1    Chang, K.W.2    Hsieh, C.J.3    Wang, X.R.4    Lin, C.J.5
  • 23
    • 33746600649 scopus 로고    scopus 로고
    • Reducing the dimensionality of data with neural networks
    • G. Hinton and R. Salakhutdinov. Reducing the dimensionality of data with neural networks. Science, 2006.
    • (2006) Science
    • Hinton, G.1    Salakhutdinov, R.2
  • 24
    • 77955989954 scopus 로고    scopus 로고
    • Modeling pixel means and covariances using factorized third-order boltzmann machines
    • M. Ranzato and G. Hinton. Modeling pixel means and covariances using factorized third-order boltzmann machines. In CVPR, 2010.
    • (2010) CVPR
    • Ranzato, M.1    Hinton, G.2
  • 25
    • 77956510751 scopus 로고    scopus 로고
    • Improved local coordinate coding using local tangents
    • K. Yu and T. Zhang. Improved local coordinate coding using local tangents. In ICML, 2010.
    • (2010) ICML
    • Yu, K.1    Zhang, T.2
  • 29
    • 27244444336 scopus 로고    scopus 로고
    • Slow feature analysis yields a rich repertoire of complex cell properties
    • P. Berkes and L.Wiskott. Slow feature analysis yields a rich repertoire of complex cell properties. Journal of Vision, 2005.
    • (2005) Journal of Vision
    • Berkes, P.1    Wiskott, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.