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Volumn 0, Issue , 2016, Pages 225-232

Toward aircraft recognition with convolutional neural networks

Author keywords

Aerial Refueling; Automatic Aircraft Identification; CNN; Deep Learning

Indexed keywords

AIR REFUELING; AIRCRAFT; ANTENNAS; CONVOLUTION; DEEP LEARNING; NEURAL NETWORKS;

EID: 85015862904     PISSN: 05473578     EISSN: 23792027     Source Type: Conference Proceeding    
DOI: 10.1109/NAECON.2016.7856803     Document Type: Conference Paper
Times cited : (6)

References (32)
  • 4
    • 84930630277 scopus 로고    scopus 로고
    • Deep Learning
    • Yann LeCun, Yashua Bengio, and Geoffrey Hinton, "Deep Learning," Nature, vol. 521, no. 7553, pp. 436-444, 2015
    • (2015) Nature , vol.521 , Issue.7553 , pp. 436-444
    • LeCun, Y.1    Bengio, Y.2    Hinton, G.3
  • 6
    • 0014266913 scopus 로고
    • Receptive fields and functional architecture of monkey striate cortex
    • David Hubel and Torsten Wiesel, "Receptive Fields and Functional Architecture of Monkey Striate Cortex.," The Journal of physiology, vol. 195, no. 1, pp. 215-43, 1968
    • (1968) The Journal of Physiology , vol.195 , Issue.1 , pp. 215-243
    • Hubel, D.1    Wiesel, T.2
  • 7
    • 0025112578 scopus 로고
    • A logical calculus nervous activity
    • Warren Mcculloch and Walter Pitts, "A logical calculus nervous activity," Bulletin of Mathematical Biology, vol. 52, no. l, pp. 99-115, 1990
    • (1990) Bulletin of Mathematical Biology , vol.52 , Issue.1 , pp. 99-115
    • McCulloch, W.1    Pitts, W.2
  • 10
    • 0019152630 scopus 로고
    • Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
    • Kunihiko Fukushima, "Neocognitron: A Self-Organizing Neural Network Model for a Mechanism of Pattern Recognition Unaffected by Shift in Position," Biological Cybernetics, vol. 36, no. 4, pp. 193-202, 1980
    • (1980) Biological Cybernetics , vol.36 , Issue.4 , pp. 193-202
    • Fukushima, K.1
  • 13
    • 0000359337 scopus 로고
    • Backpropagation applied to handwritten zip code recognition
    • Yann LeCun, Bernard Boser, John. Denker, and Et Al., "Backpropagation Applied to Handwritten Zip Code Recognition," Neural Computation, vol. 1, no. 4, pp. 541-551, 1989
    • (1989) Neural Computation , vol.1 , Issue.4 , pp. 541-551
    • LeCun, Y.1    Boser, B.2    Denker, J.3
  • 18
    • 84973911419 scopus 로고    scopus 로고
    • Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
    • Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun, "Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification," The IEEE International Conference on Computer Vision, pp. 1026-1034, 2015
    • (2015) The IEEE International Conference on Computer Vision , pp. 1026-1034
    • He, K.1    Zhang, X.2    Ren, S.3    Sun, J.4
  • 20
    • 84950141946 scopus 로고    scopus 로고
    • Transferring deep convolutional neural networks for the scene classification of high-resolution remote sensing imagery
    • 11
    • Fan Hu, Gui-Song Xia, Jingwen Hu, and Liangpei Zhang, "Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery," Remote Sensing, vol. 7, no. 11, pp. 14680-14707, 11 2015
    • (2015) Remote Sensing , vol.7 , Issue.11 , pp. 14680-14707
    • Hu, F.1    Xia, G.2    Hu, J.3    Zhang, L.4
  • 23
    • 85007251559 scopus 로고    scopus 로고
    • Deep learning with s-shaped rectified linear activation units
    • Xiaojie Jin, Chunyan Xu, Jiashi Feng, Yunchao Wei, Junjun Xiong, and Shuicheng Yan, "Deep Learning with S-shaped Rectified Linear Activation Units," Accepted by AAAI-16, 2015
    • (2015) Accepted by AAAI-16
    • Jin, X.1    Xu, C.2    Feng, J.3    Wei, Y.4    Xiong, J.5    Yan, S.6
  • 26
    • 85083082286 scopus 로고    scopus 로고
    • Understanding Dropout
    • Pierre Baldi and Peter Sadowski, "Understanding Dropout," in NIPS, 2012, number 1, pp. 1-9
    • (2012) NIPS , Issue.1 , pp. 1-9
    • Baldi, P.1    Sadowski, P.2
  • 27
    • 77949522811 scopus 로고    scopus 로고
    • Why does unsupervised pre-training help deep learning ?
    • Dumitru Erhan, Aaron Courville, and Pascal Vincent, "Why Does Unsupervised Pre-training Help Deep Learning ?," Journal of Machine Learning Research, vol. 11, no. 2007, pp. 625-660, 2010
    • (2010) Journal of Machine Learning Research , vol.11 , Issue.2007 , pp. 625-660
    • Erhan, D.1    Courville, A.2    Vincent, P.3
  • 29
    • 84911449395 scopus 로고    scopus 로고
    • Learning and transferring mid-level image representations using convolutional neural networks
    • Maxime Oquab and Leon Bottou, "Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks," CVPR, 2014
    • (2014) CVPR
    • Oquab, M.1    Bottou, L.2
  • 30
    • 84965154087 scopus 로고    scopus 로고
    • Deep generative image models using a laplacian pyramid of adversarial networks
    • Emily Denton, Soumith Chintala, Arthur Szlam, and Rob Fergus, "Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks," Arxiv, pp. 1-10, 2015
    • (2015) Arxiv , pp. 1-10
    • Denton, E.1    Chintala, S.2    Szlam, A.3    Fergus, R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.