暂无分享,去创建一个
Ivan V. Oseledets | Victor S. Lempitsky | Vadim Lebedev | Maksim Rakhuba | Yaroslav Ganin | V. Lempitsky | Yaroslav Ganin | I. Oseledets | V. Lebedev | M. Rakhuba
[1] Ming Yang,et al. DeepFace: Closing the Gap to Human-Level Performance in Face Verification , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[2] Phillip A. Regalia,et al. On the Best Rank-1 Approximation of Higher-Order Supersymmetric Tensors , 2001, SIAM J. Matrix Anal. Appl..
[3] Marc'Aurelio Ranzato,et al. Large Scale Distributed Deep Networks , 2012, NIPS.
[4] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[5] Joan Bruna,et al. Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation , 2014, NIPS.
[6] Andrew Zisserman,et al. Deep Features for Text Spotting , 2014, ECCV.
[7] Qiang Chen,et al. Network In Network , 2013, ICLR.
[8] Pierre Comon,et al. Subtracting a best rank-1 approximation may increase tensor rank , 2009, 2009 17th European Signal Processing Conference.
[9] Xinyun Chen. Under Review as a Conference Paper at Iclr 2017 Delving into Transferable Adversarial Ex- Amples and Black-box Attacks , 2016 .
[10] Patrice Y. Simard,et al. High Performance Convolutional Neural Networks for Document Processing , 2006 .
[11] Tamara G. Kolda,et al. Tensor Decompositions and Applications , 2009, SIAM Rev..
[12] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[13] Vin de Silva,et al. Tensor rank and the ill-posedness of the best low-rank approximation problem , 2006, math/0607647.
[14] Yann LeCun,et al. Fast Training of Convolutional Networks through FFTs , 2013, ICLR.
[15] Lawrence D. Jackel,et al. Backpropagation Applied to Handwritten Zip Code Recognition , 1989, Neural Computation.
[16] Berin Martini,et al. Large-Scale FPGA-based Convolutional Networks , 2011 .
[17] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[18] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[19] Andrew Zisserman,et al. Speeding up Convolutional Neural Networks with Low Rank Expansions , 2014, BMVC.
[20] Rasmus Bro,et al. A comparison of algorithms for fitting the PARAFAC model , 2006, Comput. Stat. Data Anal..
[21] Vincent Lepetit,et al. Learning Separable Filters , 2013, CVPR.