-
1
-
-
84881039921
-
Flexible, high performance convolutional neural networks for image classification
-
D. C. Ciresan, U. Meier, J. Masci, L. M. Gambardella, and J. Schmidhuber. Flexible, high performance convolutional neural networks for image classification. In IJCAI, 2011.
-
(2011)
IJCAI
-
-
Ciresan, D.C.1
Meier, U.2
Masci, J.3
Gambardella, L.M.4
Schmidhuber, J.5
-
2
-
-
84867720412
-
-
G.E. Hinton, N. Srivastave, A. Krizhevsky, I. Sutskever, and R. R. Salakhutdinov. Improving neural networks by preventing co-adaptation of feature detectors. arXiv:1207.0580, 2012.
-
(2012)
Improving Neural Networks by Preventing Co-Adaptation of Feature Detectors
-
-
Hinton, G.E.1
Srivastave, N.2
Krizhevsky, A.3
Sutskever, I.4
Salakhutdinov, R.R.5
-
3
-
-
77953183471
-
What is the best multi-stage architecture for object recognition?
-
K. Jarrett, K. Kavukcuoglu, M. Ranzato, and Y. LeCun. What is the best multi-stage architecture for object recognition? In ICCV, 2009.
-
(2009)
ICCV
-
-
Jarrett, K.1
Kavukcuoglu, K.2
Ranzato, M.3
LeCun, Y.4
-
4
-
-
84877982541
-
Beyond spatial pyramids: Receptive field learning for pooled image features
-
Y. Jia and C. Huang. Beyond spatial pyramids: Receptive field learning for pooled image features. In NIPS Workshops, 2011.
-
(2011)
NIPS Workshops
-
-
Jia, Y.1
Huang, C.2
-
8
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278–2324, 1998.
-
(1998)
Proceedings of the IEEE
, vol.86
, Issue.11
, pp. 2278-2324
-
-
LeCun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
10
-
-
77956509090
-
Rectified linear units improve restricted boltzmann machines
-
V. Nair and G.E. Hinton. Rectified linear units improve restricted boltzmann machines. In ICML, 2010.
-
(2010)
ICML
-
-
Nair, V.1
Hinton, G.E.2
-
11
-
-
84865114495
-
Reading digits in natural images with unsupervised feature learning
-
Y. Netzer, T. Wang, A. Coates, A. Bissacco, B. Wu, and A. Y. Ng. Reading digits in natural images with unsupervised feature learning. In NIPS Workshop, 2011.
-
(2011)
NIPS Workshop
-
-
Netzer, Y.1
Wang, T.2
Coates, A.3
Bissacco, A.4
Wu, B.5
Ng, A.Y.6
-
12
-
-
84874575248
-
Convolutional neural networks applied to house numbers digit classification
-
P. Sermanet, S. Chintala, and Y. LeCun. Convolutional neural networks applied to house numbers digit classification. In ICPR, 2012.
-
(2012)
ICPR
-
-
Sermanet, P.1
Chintala, S.2
LeCun, Y.3
-
13
-
-
84945900998
-
Best practices for convolutional neural networks applied to visual document analysis
-
P. Simard, D. Steinkraus, and J. Platt. Best practices for convolutional neural networks applied to visual document analysis. In ICDAR, 2003.
-
(2003)
ICDAR
-
-
Simard, P.1
Steinkraus, D.2
Platt, J.3
-
14
-
-
85070884707
-
-
http://sourceforge.net/projects/gpumat
-
http://gp-you.org/. GPUmat. http://sourceforge.net/projects/gpumat/, 2012.
-
(2012)
-
-
-
15
-
-
84856686379
-
Adaptive deconvolutional networks for mid and high level feature learning
-
M. Zeiler, G. Taylor, and R. Fergus. Adaptive deconvolutional networks for mid and high level feature learning. In ICCV, 2011.
-
(2011)
ICCV
-
-
Zeiler, M.1
Taylor, G.2
Fergus, R.3
|