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Volumn 9474, Issue , 2015, Pages 867-877

An interactive node-link visualization of convolutional neural networks

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION; COMPUTER VISION; CONVOLUTION; NEURAL NETWORKS; VISUALIZATION;

EID: 84952683708     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-27857-5_77     Document Type: Conference Paper
Times cited : (104)

References (29)
  • 1
    • 84876231242 scopus 로고    scopus 로고
    • Imagenet classification with deep convolutional neural networks
    • Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: NIPS, pp. 1106–1114 (2012)
    • (2012) NIPS , pp. 1106-1114
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 2
    • 84911400494 scopus 로고    scopus 로고
    • Rich feature hierarchies for accurate object detection and semantic segmentation
    • Girshick, R., Donahue, J., Darrell, T., Malik, J.: Rich feature hierarchies for accurate object detection and semantic segmentation. In: CVPR (2014)
    • (2014) CVPR
    • Girshick, R.1    Donahue, J.2    Darrell, T.3    Malik, J.4
  • 4
    • 84906489074 scopus 로고    scopus 로고
    • Visualizing and understanding convolutional networks
    • Zeiler, Matthew D., Fergus, Rob, In: Fleet, David, Pajdla, Tomas, Schiele, Bernt, Tuytelaars, Tinne (eds.), Springer, Heidelberg
    • Zeiler, Matthew D., Fergus, Rob: Visualizing and understanding convolutional networks. In: Fleet, David, Pajdla, Tomas, Schiele, Bernt, Tuytelaars, Tinne (eds.) ECCV 2014, Part I. LNCS, vol. 8689, pp. 818–833. Springer, Heidelberg (2014)
    • (2014) ECCV 2014, Part I. LNCS , vol.8689 , pp. 818-833
  • 5
    • 0000089430 scopus 로고
    • Visualizing learning and computation in artificial neural networks
    • Craven, M.W., Shavlik, J.W.: Visualizing learning and computation in artificial neural networks. Int. J. Artif. Intell. Tools 1, 399–425 (1992)
    • (1992) Int. J. Artif. Intell. Tools , vol.1 , pp. 399-425
    • Craven, M.W.1    Shavlik, J.W.2
  • 7
    • 11144273669 scopus 로고
    • The perceptron: A probabilistic model for information storage and organization in the brain
    • Rosenblatt, F.: The perceptron: a probabilistic model for information storage and organization in the brain. Psychol. Rev. 65, 386–408 (1958)
    • (1958) Psychol. Rev , vol.65 , pp. 386-408
    • Rosenblatt, F.1
  • 10
    • 0022471098 scopus 로고
    • Learning representations by backpropagating errors
    • Rumelhart, D.E., Hinton, G.E., Williams, R.J.: Learning representations by backpropagating errors. Nature 323, 533–536 (1986)
    • (1986) Nature , vol.323 , pp. 533-536
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 11
    • 77953183471 scopus 로고    scopus 로고
    • What is the best multistage architecture for object recognition?
    • Jarrett, K., Kavukcuoglu, K., Ranzato, M., LeCun, Y.: What is the best multistage architecture for object recognition? In: ICCV (2009)
    • (2009) ICCV
    • Jarrett, K.1    Kavukcuoglu, K.2    Ranzato, M.3    Lecun, Y.4
  • 12
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition. Proc
    • LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86, 2278–2324 (1998)
    • (1998) IEEE , vol.86 , pp. 2278-2324
    • Lecun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 13
    • 77955998889 scopus 로고    scopus 로고
    • Convolutional networks and applications in vision
    • LeCun, Y., Kavukvuoglu, K., Farabet, C.: Convolutional networks and applications in vision. In: ISCAS, pp. 253–256 (2010)
    • (2010) ISCAS , pp. 253-256
    • Lecun, Y.1    Kavukvuoglu, K.2    Farabet, C.3
  • 14
    • 33845640864 scopus 로고    scopus 로고
    • Hierarchical edge bundles: Visualization of adjacency relations in hierarchical data
    • Holten, D.: Hierarchical edge bundles: visualization of adjacency relations in hierarchical data. TVCG 12, 741–748 (2006)
    • (2006) TVCG , vol.12 , pp. 741-748
    • Holten, D.1
  • 15
    • 84909579145 scopus 로고    scopus 로고
    • NeuroLines: A subway map metaphor for visualizing nanoscale neuronal connectivity
    • Al-Awami, A., Beyer, J., Strobelt, H., Kasthuri, N., Lichtman, J., Pfister, H., Hadwiger, M.: NeuroLines: a subway map metaphor for visualizing nanoscale neuronal connectivity. TVCG 20, 2369–2378 (2014)
    • (2014) TVCG , vol.20 , pp. 2369-2378
    • Al-Awami, A.1    Beyer, J.2    Strobelt, H.3    Kasthuri, N.4    Lichtman, J.5    Pfister, H.6    Hadwiger, M.7
  • 17
    • 77957901406 scopus 로고    scopus 로고
    • Search, show context, expand on demand: Supporting large graph exploration with degree-of-interest
    • Van Ham, F., Perer, A.: Search, show context, expand on demand: supporting large graph exploration with degree-of-interest. TVCG 15, 953–960 (2009)
    • (2009) TVCG , vol.15 , pp. 953-960
    • Van Ham, F.1    Perer, A.2
  • 18
    • 0029725135 scopus 로고    scopus 로고
    • The eyes have it: A task by data type taxonomy for information visualizations
    • Shneiderman, B.: The eyes have it: a task by data type taxonomy for information visualizations. In: Visual Languages, pp. 336–343 (1996)
    • (1996) Visual Languages , pp. 336-343
    • Shneiderman, B.1
  • 21
    • 33749837830 scopus 로고    scopus 로고
    • Opening the black box - Data driven visualization of neural networks
    • Tzeng, F.Y., Ma, K.L.: Opening the black box - Data driven visualization of neural networks. In: Visualization, pp. 383–390 (2005)
    • (2005) Visualization , pp. 383-390
    • Tzeng, F.Y.1    Ma, K.L.2
  • 24
    • 35948954741 scopus 로고    scopus 로고
    • NodeTrix: A hybrid visualization of social networks
    • Henry, N., Fekete, J.D., McGuffin, M.J.: NodeTrix: a hybrid visualization of social networks. TVCG 13, 1302–1309 (2007)
    • (2007) TVCG , vol.13 , pp. 1302-1309
    • Henry, N.1    Fekete, J.D.2    McGuffin, M.J.3
  • 26
    • 0030145449 scopus 로고    scopus 로고
    • How not to lie with visualization
    • Rogowitz, B.E., Treinish, L.A.: How not to lie with visualization. Comput. Phys. 10, 268–273 (1996)
    • (1996) Comput. Phys , vol.10 , pp. 268-273
    • Rogowitz, B.E.1    Treinish, L.A.2
  • 28
    • 0014380830 scopus 로고
    • Response time in man-computer conversational transactions
    • Miller, R.B.: Response time in man-computer conversational transactions. In: Proceedings of AFIPS Fall Joint Computer Conference, vol. 33, pp. 267–277 (1968)
    • (1968) Proceedings of AFIPS Fall Joint Computer Conference , vol.33 , pp. 267-277
    • Miller, R.B.1
  • 29
    • 77954916419 scopus 로고
    • The information visualizer: An information workspace
    • Card, S.K., Robertson, G.G., Mackinlay, J.D.: The information visualizer: an information workspace. In: ACM CHI, pp. 181–188 (1991)
    • (1991) ACM CHI , pp. 181-188
    • Card, S.K.1    Robertson, G.G.2    Mackinlay, J.D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.