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Volumn , Issue , 2010, Pages 13-18

A deep-learning model-based and data-driven hybrid architecture for image annotation

Author keywords

Data driven; Deep learning; Image annotation; Model based

Indexed keywords

DATA-DRIVEN; DATA-DRIVEN APPROACH; DEEP LEARNING; HYBRID APPROACH; HYBRID ARCHITECTURES; IMAGE ANNOTATION; LEARNING MODELS; MACHINE TRANSLATIONS; MACHINE-LEARNING; MODEL BASED APPROACH; MODEL-BASED; PROS AND CONS; TRAINING DATA;

EID: 78650876367     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1878137.1878141     Document Type: Conference Paper
Times cited : (5)

References (22)
  • 6
    • 0036712334 scopus 로고    scopus 로고
    • Responses of primate visual cortical V4 neurons to simultaneously presented stimuli
    • T. Gawne and J. Martin. Responses of primate visual cortical V4 neurons to simultaneously presented stimuli. Journal of Neurophysiology, 88(3):1128, 2002.
    • (2002) Journal of Neurophysiology , vol.88 , Issue.3 , pp. 1128
    • Gawne, T.1    Martin, J.2
  • 7
    • 33745805403 scopus 로고    scopus 로고
    • A fast learning algorithm for deep belief nets
    • G. Hinton, S. Osindero, and Y. Teh. A fast learning algorithm for deep belief nets. Neural Computation, 18(7):1527-1554, 2006.
    • (2006) Neural Computation , vol.18 , Issue.7 , pp. 1527-1554
    • Hinton, G.1    Osindero, S.2    Teh, Y.3
  • 8
    • 33645410496 scopus 로고
    • Receptive fields, binocular interaction and functional architecture in the cat's visual cortex
    • D. Hubel and T. Wiesel. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. The Journal of Physiology, 160(1):106, 1962.
    • (1962) The Journal of Physiology , vol.160 , Issue.1 , pp. 106
    • Hubel, D.1    Wiesel, T.2
  • 9
    • 0014266913 scopus 로고
    • Receptive fields and functional architecture of monkey striate cortex
    • D. Hubel and T. Wiesel. Receptive fields and functional architecture of monkey striate cortex. The Journal of Physiology, 195(1):215, 1968.
    • (1968) The Journal of Physiology , vol.195 , Issue.1 , pp. 215
    • Hubel, D.1    Wiesel, T.2
  • 10
    • 0023583669 scopus 로고
    • An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortex
    • J. Jones and L. Palmer. An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortex. Journal of Neurophysiology, 58(6):1233, 1987.
    • (1987) Journal of Neurophysiology , vol.58 , Issue.6 , pp. 1233
    • Jones, J.1    Palmer, L.2
  • 11
    • 14844326685 scopus 로고    scopus 로고
    • Intracellular measurements of spatial integration and the MAX operation in complex cells of the cat primary visual cortex
    • I. Lampl, D. Ferster, T. Poggio, and M. Riesenhuber. Intracellular measurements of spatial integration and the MAX operation in complex cells of the cat primary visual cortex. Journal of Neurophysiology, 92(5):2704, 2004.
    • (2004) Journal of Neurophysiology , vol.92 , Issue.5 , pp. 2704
    • Lampl, I.1    Ferster, D.2    Poggio, T.3    Riesenhuber, M.4
  • 12
    • 71149119164 scopus 로고    scopus 로고
    • Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
    • H. Lee, R. Grosse, R. Ranganath, and A. 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.4
  • 13
    • 57849102080 scopus 로고    scopus 로고
    • Training invariant support vector machines using selective sampling
    • G. Loosli, S. Canu, and L. Bottou. Training invariant support vector machines using selective sampling. Large Scale Kernel Machines, pages 301-320, 2007.
    • (2007) Large Scale Kernel Machines , pp. 301-320
    • Loosli, G.1    Canu, S.2    Bottou, L.3
  • 15
    • 0032833663 scopus 로고    scopus 로고
    • Are cortical models really bound by the binding problem
    • M. Riesenhuber and T. Poggio. Are Cortical Models Really Bound by the Binding Problem. Neuron, 24(1):87-93, 1999.
    • (1999) Neuron , vol.24 , Issue.1 , pp. 87-93
    • Riesenhuber, M.1    Poggio, T.2
  • 20
    • 0034938990 scopus 로고    scopus 로고
    • Complex objects are represented in macaque inferotemporal cortex by the combination of feature columns
    • K. Tsunoda, Y. Yamane, M. Nishizaki, and M. Tanifuji. Complex objects are represented in macaque inferotemporal cortex by the combination of feature columns. Nature Neuroscience, 4:832-838, 2001.
    • (2001) Nature Neuroscience , vol.4 , pp. 832-838
    • Tsunoda, K.1    Yamane, Y.2    Nishizaki, M.3    Tanifuji, M.4
  • 22
    • 70449714550 scopus 로고    scopus 로고
    • Color selectivity of neurons in the posterior inferior temporal cortex of the macaque monkey
    • M. Yasuda, T. Banno, and H. Komatsu. Color selectivity of neurons in the posterior inferior temporal cortex of the macaque monkey. Cerebral Cortex, 2009.
    • (2009) Cerebral Cortex
    • Yasuda, M.1    Banno, T.2    Komatsu, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.