-
1
-
-
33745805403
-
A fast learning algorithm for deep belief nets
-
G. E. Hinton, S. Osindero, and Y. W. Teh. A fast learning algorithm for deep belief nets. Neural Computation, 18(7):1527-1554, 2006.
-
(2006)
Neural Computation
, vol.18
, Issue.7
, pp. 1527-1554
-
-
Hinton, G.E.1
Osindero, S.2
The, Y.W.3
-
3
-
-
84864073449
-
Greedy layer-wise training of deep networks
-
Y. Bengio, P. Lamblin, D. Popovici, and H. Larochelle. Greedy layer-wise training of deep networks. In Adv. in Neural Information Processing Systems 19, pages 153-160, 2007.
-
(2007)
Adv. in Neural Information Processing Systems
, vol.19
, pp. 153-160
-
-
Bengio, Y.1
Lamblin, P.2
Popovici, D.3
Larochelle, H.4
-
4
-
-
84862293074
-
Efficient learning of deep boltzmann machines
-
R. Salakhutdinov and H. Larochelle. Efficient learning of deep boltzmann machines. AISTATS, 2010.
-
(2010)
AISTATS
-
-
Salakhutdinov, R.1
Larochelle, H.2
-
6
-
-
85162069624
-
Phone recognition with the mean-covariance restricted Boltzmann machine
-
G. E. Dahl, M. Ranzato, A. Mohamed, and G. E. Hinton. Phone recognition with the mean-covariance restricted Boltzmann machine. In NIPS 23. 2010.
-
(2010)
NIPS
, vol.23
-
-
Dahl, G.E.1
Ranzato, M.2
Mohamed, A.3
Hinton, G.E.4
-
7
-
-
80052877144
-
On deep generative models with applications to recognition
-
M. Ranzato, J. Susskind, V. Mnih, and G. E. Hinton. On deep generative models with applications to recognition. CVPR, 2011.
-
(2011)
CVPR
-
-
Ranzato, M.1
Susskind, J.2
Mnih, V.3
Hinton, G.E.4
-
9
-
-
50649114916
-
Real-time accurate object detection using multiple resolutions
-
W. Zhang, G. Zelinsky, and D. Samaras. Real-time accurate object detection using multiple resolutions. In ICCV, 2007.
-
(2007)
ICCV
-
-
Zhang, W.1
Zelinsky, G.2
Samaras, D.3
-
10
-
-
9244225668
-
A coarse-to-fine strategy for multi-class shape detection
-
Y. Amit, D. Geman, and X. Fan. A coarse-to-fine strategy for multi-class shape detection. IEEE Transactions PAMI, 26(12), 2004.
-
(2004)
IEEE Transactions PAMI
, vol.26
, pp. 12
-
-
Amit, Y.1
Geman, D.2
Fan, X.3
-
11
-
-
3042535216
-
Distinctive image features from scaleinvariant keypoints
-
D. G. Lowe. Distinctive image features from scaleinvariant keypoints. International Journal of Computer Vision, 60:91-110, 2004.
-
(2004)
International Journal of Computer Vision
, vol.60
, pp. 91-110
-
-
Lowe, D.G.1
-
12
-
-
0001954270
-
Active shape models: Evaluation of multi-Resolution method for improving image search
-
T. F. Cootes, C. J. Taylor, and A. Lantis. Active Shape Models: Evaluation of Multi-Resolution Method for Improving Image Search. In BMVC, 1994.
-
(1994)
BMVC
-
-
Cootes, T.F.1
Taylor, C.J.2
Lantis, A.3
-
14
-
-
33746600649
-
Reducing the dimensionality of data with neural networks
-
G. E. Hinton and R. Salakhutdinov. Reducing the dimensionality of data with neural networks. Science, 313:504-507, 2006.
-
(2006)
Science
, vol.313
, pp. 504-507
-
-
Hinton, G.E.1
Salakhutdinov, R.2
-
15
-
-
0013344078
-
Training products of experts by minimizing contrastive divergence
-
G. E. Hinton. Training products of experts by minimizing contrastive divergence. Neural Computation, 14:1771-1800, 2002.
-
(2002)
Neural Computation
, vol.14
, pp. 1771-1800
-
-
Hinton, G.E.1
-
16
-
-
70049098965
-
Using fast weights to improve persistent contrastive divergence
-
ACM
-
T. Tieleman and G. E. Hinton. Using fast weights to improve persistent contrastive divergence. In ICML, volume 382, page 130. ACM, 2009.
-
(2009)
ICML
, vol.382
, pp. 130
-
-
Tieleman, T.1
Hinton, G.E.2
-
18
-
-
85157999846
-
Modeling human motion using binary latent variables
-
G. Taylor, G. E. Hinton, and S. Roweis. Modeling human motion using binary latent variables. In NIPS, 2006.
-
(2006)
NIPS
-
-
Taylor, G.1
Hinton, G.E.2
Roweis, S.3
-
19
-
-
56449086627
-
Sparse deep belief net model for visual area V2
-
H. Lee, C. Ekanadham, and A. Ng. Sparse deep belief net model for visual area V2. In NIPS, 2007.
-
(2007)
NIPS
-
-
Lee, H.1
Ekanadham, C.2
Ng, A.3
-
20
-
-
77955989954
-
Modeling pixel means and covariances using factorized third-order boltzmann machines
-
M. Ranzato and G. Hinton. Modeling pixel means and covariances using factorized third-order boltzmann machines. CVPR, 2010.
-
(2010)
CVPR
-
-
Ranzato, M.1
Hinton, G.2
-
21
-
-
77956509090
-
Rectified linear units improve restricted boltzmann machines
-
V. Nair and G. E. Hinton. Rectified linear units improve restricted boltzmann machines. In Proceedings of ICML, 2010.
-
(2010)
Proceedings of ICML
-
-
Nair, V.1
Hinton, G.E.2
-
25
-
-
5044231640
-
Learning methods for generic object recognition with invariance to pose and lighting
-
IEEE Press
-
Y. LeCun, F. Huang, and L. Bottou. Learning methods for generic object recognition with invariance to pose and lighting. In Proceedings of CVPR'04. IEEE Press, 2004.
-
(2004)
Proceedings of CVPR'04
-
-
LeCun, Y.1
Huang, F.2
Bottou, L.3
-
26
-
-
78149306047
-
3-D object recognition with deep belief nets
-
V. Nair and G. E. Hinton. 3-D object recognition with deep belief nets. In NIPS 22, 2009.
-
(2009)
NIPS
, vol.22
-
-
Nair, V.1
Hinton, G.E.2
-
27
-
-
85161972005
-
Tiled convolutional neural networks
-
L. Quoc, J. Ngiam, Z. Chen, D. Chia, P. W. Koh, and A. Ng. Tiled convolutional neural networks. In NIPS 23. 2010.
-
(2010)
NIPS
, vol.23
-
-
Quoc, L.1
Ngiam, J.2
Chen, Z.3
Chia, D.4
Koh, P.W.5
Ng, A.6
-
28
-
-
33947369065
-
Face recognition by humans: Nineteen results all computer vision researchers should know about
-
P. Sinha, B. Balas, Y. Ostrovsky, and R. Russell. Face recognition by humans: Nineteen results all computer vision researchers should know about. Proceedings of the IEEE, 94(11):1948-1962, 2006.
-
(2006)
Proceedings of the IEEE
, vol.94
, Issue.11
, pp. 1948-1962
-
-
Sinha, P.1
Balas, B.2
Ostrovsky, Y.3
Russell, R.4
-
29
-
-
80051624332
-
Acoustic modeling using deep belief networks
-
A. Mohamed, G. Dahl, and G. Hinton. Acoustic modeling using deep belief networks. IEEE Transactions on Audio, Speech, and Language Processing, 2011.
-
(2011)
IEEE Transactions on Audio, Speech, and Language Processing
-
-
Mohamed, A.1
Dahl, G.2
Hinton, G.3
-
30
-
-
84954237855
-
Speaker-independent phone recognition using hidden markov models
-
CMU Computer Science Dept. Mar. 31
-
K.-F. Lee and H.-W. Hon. Speaker-Independent Phone Recognition Using Hidden Markov Models, volume CMU-CS-88-121. CMU Computer Science Dept., Mar. 31, 1988.
-
(1988)
CMU-CS
, pp. 88-121
-
-
Lee, K.-F.1
Hon, H.-W.2
-
31
-
-
80051654263
-
-
ICASSP
-
A. Mohamed, T. N. Sainath, G. E. Dahl, B. Ramabhadran, G. E. Hinton, and M. A. Picheny. Deep belief networks using discriminative features for phone recognition. pages 5060-5063. ICASSP, 2011.
-
(2011)
Deep Belief Networks Using Discriminative Features for Phone Recognition
, pp. 5060-5063
-
-
Mohamed, A.1
Sainath, T.N.2
Dahl, G.E.3
Ramabhadran, B.4
Hinton, G.E.5
Picheny, M.A.6
|