-
1
-
-
0042565834
-
Hierarchical Bayesian inference in the visual cortex
-
Lee T S, Mumford D. Hierarchical Bayesian inference in the visual cortex[J]. Optical Society of America, 2003, 20(7): 1434-1448.
-
(2003)
Optical Society of America
, vol.20
, Issue.7
, pp. 1434-1448
-
-
Lee, T.S.1
Mumford, D.2
-
2
-
-
0035283145
-
Contextual modulation in primary visual cortex of macaques
-
Rossi A F, Desimone R, Ungerleider L G. Contextual modulation in primary visual cortex of macaques[J]. J of Neuroscience, 2001, 21(5): 1689-1709.
-
(2001)
J of Neuroscience
, vol.21
, Issue.5
, pp. 1689-1709
-
-
Rossi, A.F.1
Desimone, R.2
Ungerleider, L.G.3
-
3
-
-
33746600649
-
Reducing the dimensionality of data with neural networks
-
Hinton G E, Salakhutdinov R R. Reducing the dimensionality of data with neural networks[J]. Science, 2006, 313(5786): 504-507.
-
(2006)
Science
, vol.313
, Issue.5786
, pp. 504-507
-
-
Hinton, G.E.1
Salakhutdinov, R.R.2
-
4
-
-
80051616844
-
Large vocabulary continuous speech recognition with context-dependent DBN-HMMS
-
Prague
-
Dahl G E, Yu D, Deng L, et al. Large vocabulary continuous speech recognition with context-dependent DBN-HMMS[C]. Proc of IEEE Int Conf on Acoustics, Speech and Signal Processing. Prague, 2011: 4688-4691.
-
(2011)
Proc of IEEE Int Conf on Acoustics, Speech and Signal Processing
, pp. 4688-4691
-
-
Dahl, G.E.1
Yu, D.2
Deng, L.3
-
6
-
-
78149478930
-
Deep belief networks for real-time extraction of tongue contours from ultrasound during speech
-
Stroudsburg: Association for Computational Linguistics
-
Fasel I, Berry J. Deep belief networks for real-time extraction of tongue contours from ultrasound during speech[C]. Proc of the 20th Int Conf on Pattern Recognition. Stroudsburg: Association for Computational Linguistics, 2010: 1493-1496.
-
(2010)
Proc of the 20th Int Conf on Pattern Recognition
, pp. 1493-1496
-
-
Fasel, I.1
Berry, J.2
-
8
-
-
84868652559
-
Chinese relation extraction based on deep belief nets
-
Chen Y, Zheng D Q, Zhao T J. Chinese relation extraction based on deep belief nets[J]. J of Software, 2012, 23(10): 2572-2585.
-
(2012)
J of Software
, vol.23
, Issue.10
, pp. 2572-2585
-
-
Chen, Y.1
Zheng, D.Q.2
Zhao, T.J.3
-
11
-
-
33745805403
-
A fast learning algorithm for deep belief nets
-
Hinton G E, Osindero S, Teh Y. A fast learning algorithm for deep belief nets[J]. Neural Computation, 2006, 18(7): 1527-1554.
-
(2006)
Neural Computation
, vol.18
, Issue.7
, pp. 1527-1554
-
-
Hinton, G.E.1
Osindero, S.2
Teh, Y.3
-
12
-
-
84922254422
-
Learning Restricted Boltzmann Machines using Mode-Hopping MCMC
-
Xi'an
-
Yang Hu, Yong Yu. Learning Restricted Boltzmann Machines using Mode-Hopping MCMC[C]. The 4th Int Conf on Machine Learning and Computing. Xi'an, 2012, 20: 105-110.
-
(2012)
The 4th Int Conf on Machine Learning and Computing
, vol.20
, pp. 105-110
-
-
Hu, Y.1
Yu, Y.2
-
13
-
-
45749110924
-
Representational power of restricted boltzmann machines and deep belief networks
-
Le Roux, Nicolas, Yoshua Bengio. Representational power of restricted boltzmann machines and deep belief networks[J]. Neural Computation, 2008, 20(6): 1631-1649.
-
(2008)
Neural Computation
, vol.20
, Issue.6
, pp. 1631-1649
-
-
Le Roux1
Nicolas2
Bengio, Y.3
-
14
-
-
79952390246
-
Deep spatiotemporal feature learning with application to image classification
-
Washington
-
Thomas P, Karnowski. Deep spatiotemporal feature learning with application to image classification[C]. The 9th Int Conf on Machine Learning and Applications. Washington, 2010: 883-889.
-
(2010)
The 9th Int Conf on Machine Learning and Applications
, pp. 883-889
-
-
Thomas, P.1
Karnowski2
-
15
-
-
84867614591
-
Scalable stacking and learning for building deep architectures
-
Kyoto
-
Li Deng, Dong Yu, John Platt. Scalable stacking and learning for building deep architectures[C]. ICASSP. Kyoto, 2012: 2133-2137.
-
(2012)
ICASSP
, pp. 2133-2137
-
-
Deng, L.1
Yu, D.2
Platt, J.3
-
16
-
-
80054108245
-
On the expressive power of deep architectures
-
Berlin: Springer/Heidelberg
-
Bengio Yoshua, Olivier Delalleau. On the expressive power of deep architectures[C]. Algorithmic Learning Theory. Berlin: Springer/Heidelberg, 2011: 18-36.
-
(2011)
Algorithmic Learning Theory
, pp. 18-36
-
-
Yoshua, B.1
Delalleau, O.2
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