-
1
-
-
0022014331
-
Spatiotemporal energy models for the perception of motion
-
Adelson, E.H. and Bergen, J.R. Spatiotemporal energy models for the perception of motion. J. Opt. Soc. Am. A, 2(2):284-299, 1985.
-
(1985)
J. Opt. Soc. Am. A
, vol.2
, Issue.2
, pp. 284-299
-
-
Adelson, E.H.1
Bergen, J.R.2
-
2
-
-
84867135726
-
Suitability of V1 energy models for object classification
-
Bergstra, James, Bengio, Yoshua, and Louradour, Jérôme. Suitability of V1 energy models for object classification. Neural Computation, pp. 1-17, 2010.
-
(2010)
Neural Computation
, pp. 1-17
-
-
Bergstra, J.1
Bengio, Y.2
Louradour, J.3
-
3
-
-
84867136120
-
Unsupervised learning of a steerable basis for invariant image representations
-
SPIE, February
-
Bethge, M, Gerwinn, S, and Macke, JH. Unsupervised learning of a steerable basis for invariant image representations. In Human Vision and Electronic Imaging XII. SPIE, February 2007.
-
(2007)
Human Vision and Electronic Imaging XII
-
-
Bethge, M.1
Gerwinn, S.2
Macke, J.H.3
-
4
-
-
0029887277
-
Neural encoding of binocular disparity: Energy models, position shifts and phase shifts
-
Fleet, D., Wagner, H., and Heeger, D. Neural encoding of binocular disparity: Energy models, position shifts and phase shifts. Vision Research, 36(12):1839-1857, 1996.
-
(1996)
Vision Research
, vol.36
, Issue.12
, pp. 1839-1857
-
-
Fleet, D.1
Wagner, H.2
Heeger, D.3
-
5
-
-
33645776880
-
Toeplitz and circulant matrices: A review
-
August
-
Gray, Robert M. Toeplitz and circulant matrices: a review. Commun. Inf. Theory, 2:155-239, August 2005.
-
(2005)
Commun. Inf. Theory
, vol.2
, pp. 155-239
-
-
Gray, R.M.1
-
7
-
-
0034222304
-
Emergence of phase-and shift-invariant features by decomposition of natural images into independent feature subspaces
-
July
-
Hyvärinen, Aapo and Hoyer, Patrik. Emergence of phase-and shift-invariant features by decomposition of natural images into independent feature subspaces. Neural Computation, 12:1705-1720, July 2000.
-
(2000)
Neural Computation
, vol.12
, pp. 1705-1720
-
-
Hyvärinen, A.1
Hoyer, P.2
-
9
-
-
0345494029
-
The Adaptive-Subspace SOM (ASSOM) and its use for the implementation of invariant feature detection
-
Kohonen, Teuvo. The Adaptive-Subspace SOM (ASSOM) and its use for the implementation of invariant feature detection. In Proc. ICANN'95, Int. Conf. on Artificial Neural Networks.
-
Proc. ICANN'95, Int. Conf. on Artificial Neural Networks
-
-
Kohonen, T.1
-
10
-
-
34547967782
-
An empirical evaluation of deep architectures on problems with many factors of variation
-
Larochelle, Hugo, Erhan, Dumitru, Courville, Aaron, Bergstra, James, and Bengio, Yoshua. An empirical evaluation of deep architectures on problems with many factors of variation. In Proceedings of the 24th international conference on Machine learning, 2007.
-
Proceedings of the 24th International Conference on Machine Learning, 2007
-
-
Larochelle, H.1
Erhan, D.2
Courville, A.3
Bergstra, J.4
Bengio, Y.5
-
11
-
-
84867128972
-
Learning hierarchical spatio-temporal features for action recognition with independent subspace analysis
-
IEEE
-
Le, Q.V., Zou, W.Y., Yeung, S.Y., and Ng, A.Y. Learning hierarchical spatio-temporal features for action recognition with independent subspace analysis. In Proc. CVPR, 2011. IEEE, 2011.
-
(2011)
Proc. CVPR, 2011
-
-
Le, Q.V.1
Zou, W.Y.2
Yeung, S.Y.3
Ng, A.Y.4
-
13
-
-
77953520240
-
Learning to represent spatial transformations with factored higher-order Boltzmann machines
-
Memisevic, Roland and Hinton, Geoffrey E. Learning to represent spatial transformations with factored higher-order Boltzmann machines. Neural Computation, 22(6): 1473-92, 2010.
-
(2010)
Neural Computation
, vol.22
, Issue.6
, pp. 1473-1492
-
-
Memisevic, R.1
Hinton, G.E.2
-
14
-
-
0000687417
-
Computing stereo disparity and motion with known binocular cell properties
-
May
-
Qian, Ning. Computing stereo disparity and motion with known binocular cell properties. Neural Computation, 6: 390-404, May 1994.
-
(1994)
Neural Computation
, vol.6
, pp. 390-404
-
-
Qian, N.1
-
15
-
-
77955989954
-
Modeling Pixel Means and Covariances Using Factorized Third-Order Boltzmann Machines
-
Ranzato, Marc'Aurelio and Hinton, Geoffrey E. Modeling Pixel Means and Covariances Using Factorized Third-Order Boltzmann Machines. In Computer Vision and Pattern Recognition, 2010.
-
(2010)
Computer Vision and Pattern Recognition
-
-
Ranzato, M.1
Hinton, G.E.2
-
16
-
-
80052885960
-
Modeling the joint density of two images under a variety of transformations
-
Susskind, J., Memisevic, R., Hinton, G., and Pollefeys, M. Modeling the joint density of two images under a variety of transformations. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2011.
-
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2011
-
-
Susskind, J.1
Memisevic, R.2
Hinton, G.3
Pollefeys, M.4
-
17
-
-
84867652321
-
Convolutional learning of spatiotemporal features
-
Taylor, Graham, W., Fergus, Rob, LeCun, Yann, and Bregler, Christoph. Convolutional learning of spatiotemporal features. In Proc. European Conference on Computer Vision, 2010.
-
Proc. European Conference on Computer Vision, 2010
-
-
Taylor, G.W.1
Fergus, R.2
LeCun, Y.3
Bregler, C.4
-
18
-
-
0032495066
-
Independent component analysis of natural image sequences yields spatiotemporal filters similar to simple cells in primary visual cortex
-
van Hateren, L. and Ruderman, J. Independent component analysis of natural image sequences yields spatiotemporal filters similar to simple cells in primary visual cortex. Proc. Biological Sciences, 265(1412):2315-2320, 1998.
-
(1998)
Proc. Biological Sciences
, vol.265
, Issue.1412
, pp. 2315-2320
-
-
Van Hateren, L.1
Ruderman, J.2
|