Art

J-GLOBAL ID：201702235966380547   Reference number：17A0690303

低ランク近似を用いた深層学習の行列積の高速化

Author (4)： SEKIYA AKIRA (東京工大) ,  OSAWA KAZUKI (東京工大) ,  NAGANUMA HIROKI (東京工大) ,  YOKOTA RIO (東京工大)
Material： 情報処理学会研究報告(Web)  (IPSJ Technical Report (Web))
Volume： 2017  Issue： HPC-158  Page： Vol.2017-HPC-158,No.24,1-7 (WEB ONLY)  Publication year： Mar. 01, 2017 
JST Material Number： U0451A  Document type： Proceedings
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： machine learning ,  *neural network(biomodel) ,  convolution ,  fast computation ,  matrix(mathematics) ,  singular value decomposition ,  *approximation method
Semi thesaurus term： *deep learning ,  matrix product ,  *low-rank approximation

JST classification (1)： Numerical computation  (JE02000J)

Reference (25)：

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• Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., Berg, A. C. and Fei-Fei, L.: ImageNet Large Scale Visual Recognition Challenge, International Journal of Computer Vision (IJCV), Vol. 115, No. 3, pp. 211-252 (online), DOI: 10.1007/s11263-015-0816-y (2015).
• Simonyan, K. and Zisserman, A.: Very Deep Convolutional Networks for Large-Scale Image Recognition, CoRR, Vol. abs/1409.1556 (2014).
• Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V. and Rabinovich, A.: Going Deeper with Convolutions, Computer Vision and Pattern Recognition (CVPR), (online), available from <http://arxiv.org/abs/1409.4842> (2015).
• He, K., Zhang, X., Ren, S. and Sun, J.: Deep Residual Learning for Image Recognition, CoRR, Vol. abs/1512.03385 (online), available from <http://arxiv.org/abs/1512.03385> (2015).

Terms in the title (4)： 低ランク近似 ,  深層学習 ,  行列積 ,  高速化