참고문헌
- Y. J. Kim and E.G. Kim, "Image based Fire Detection using Convolutional Neural Network," Journal of the Korea Institute of Information and Communication Engineering, vol. 20, no. 9, pp. 1649-1656, Sep. 2016. https://doi.org/10.6109/jkiice.2016.20.9.1649
- S. C. Lim, S.H. Kim, Y.H. Kim, and D.Y. Kim, "Training Network Design Based on Convolution Neural Network for Object Classification in few class problem," Journal of the Korea Institute of Information and Communication Engineering, vol. 21, no. 1, pp. 144-150, Jan. 2017. https://doi.org/10.6109/jkiice.2017.21.1.144
- Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. D. Jackal, "Backpropagation applied to handwritten zip code recognition," International Journal of Neural Computation, vol. 1, no. 4, pp. 541-551, Dec. 1989. https://doi.org/10.1162/neco.1989.1.4.541
- O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei, "ImageNet large scale visual recognition challenge," International Journal of Computer Vision, vol. 115, no. 3, pp. 211-252, Dec. 2015. https://doi.org/10.1007/s11263-015-0816-y
- A. Krizhevsky, I. Sutskever, and G. E. Hinton, "Imagenet classification with deep convolutional neural networks," in Proceedings of the 25th Annual International Conference on Advances in Neural Information Processing Systems, California:CA, pp. 1106-1114, 2012.
- Y. Gong, L. Liu, M.Yang, and L. Bourdev. (2014, December). "Compressing deep convolutional networks using vector quantization," arXiv preprint [Online. pp.1-10. Available: https://arXiv:1412.6115.
- V. Vanhoucke, A. Senior, and M. Z Mao, "Improving the speed of neural networks on cpus," in Proceedings of Deep Learning and Unsupervised Feature Learning NIPS Workshop, Vol. 1. pp.1-8, Dec. 2011.
- V. Chandrasekhar, J. Lin, Q. Liao, O. Morère, A. Veillard, L. Duan, and T. Poggio, "Compression of Deep Neural Networks for Image Instance Retrieval," in Proceedings of Data Compression Conference, Utah:UT, pp. 300-309, 2017.
- W. Chen, J. T. Wilson, S. Tyree, K. Q. Weinberger, and Y. Chen, "Compressing neural networks with the hashing trick," in Proceedings of International Conference on Machine Learning, Lille:FR, pp. 2285-2294, 2015.
- M. Lin, Q. Chen, and S. Yan. (2014, March). "Network in network," arXiv preprint [Online]. pp.1-10. Available: https://arXiv:1312.4400.
- C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich, "Going deeper with convolutions," in Proceedings of Computer Vision and Pattern Recognition, Ohio:OH, pp. 1-9, 2014.
- S. Srinivas, and R. V. Babu. (2016, August). "Learning Neural Network Architectures using Backpropagation," arXiv preprint [Online]. pp.1-14. Available: https://arXiv:1511.0549.
- X. Liu, and T. Yatish. (2016, March). "Pruning of Winograd and FFT Based Convolution Algorithm," CS231n: Convolutional Neural Networks for Visual Recognition [Online]. pp.1-7. Available: http://cs231n.stanford.edu/reports/2016/pdfs/117 _Report.pdf
- Y. Jia, E. Shelhamer, J. Deonahue, S. Karayev, J. Long, R. Girshick, and T. Darrell, "Caffe: Convolutional architecture for fast feature embedding." in Proceedings of the 22nd ACM international conference on Multimedia, New York: NY, pp. 675-678, 2014.
- Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner, "Gradient-based learning applied to document recognition," in Proceedings of the IEEE, vol. 86, no. 11, pp. 2278-2324, Nov. 1998. https://doi.org/10.1109/5.726791
- E. L Denton, W. Zaremba, J. Bruna, Y. LeCun, and R. Fergus, "Exploiting linear structure within convolutional networks for efficient evaluation," in Proceedings of the 27th Annual International Conference on Advances in Neural Information Processing Systems, Montreal:CA, pp. 1269-1277, 2014.
- Z. Yang, M. Moczulski, M. Denil, N. de Freitas, A. Smola, L. Song, and Z. Wang, "Deep fried convnets," in Proceedings of the IEEE International Conference on Computer Vision, Massachusetts:MA, pp. 1476-1483, 2015.
- S. Han, J. Pool, J. Tran, and W. J. Dally, "Learning both weights and connections for efficient neural networks," in Proceedings of the 28th Annual International Conference on Advances in Neural Information Processing Systems, Montreal:CA, pp. 1135-1143, 2015.
- S. Srinivas, and R V. Babu. (2015, July). "Data-free parameter pruning for deep neural networks," arXiv preprint [Online]. pp.1-12. Available: https://arXiv:1507.06149.
- M. D Collins, and P. Kohli. (2014. December). "Memory bounded deep convolutional networks," arXiv preprint [Online]. pp.1-10. Available: https://arXiv:1412.1442.