-
2
-
-
33744552752
-
For most large underdetermined systems of equations, the minimal l1-norm near-solution approximates the sparsest near-solution
-
Jan
-
D. Donoho. For most large underdetermined systems of equations, the minimal l1-norm near-solution approximates the sparsest near-solution. Communications on Pure and Applied Mathematics, Jan 2006.
-
(2006)
Communications on Pure and Applied Mathematics
-
-
Donoho, D.1
-
6
-
-
77955992008
-
A model of saliency-based visual attention for rapid scene analysis
-
Jan
-
L. Itti, C. Koch, and E. Niebur. A model of saliency-based visual attention for rapid scene analysis. IEEE TPAMI, Jan 1998.
-
(1998)
IEEE TPAMI
-
-
Itti, L.1
Koch, C.2
Niebur, E.3
-
7
-
-
77953205576
-
Learning to predict where humans look
-
T. Judd, K. Ehinger, F. Durand, and A. Torralba. Learning to predict where humans look. IEEE 12th International Conference on Computer Vision, ICCV, 2009.
-
(2009)
IEEE 12th International Conference on Computer Vision, ICCV
-
-
Judd, T.1
Ehinger, K.2
Durand, F.3
Torralba, A.4
-
8
-
-
0022388528
-
Shifts in selective visual attention: Towards the underlying neural circuitry
-
C. Koch and S. Ullman. Shifts in selective visual attention: towards the underlying neural circuitry. Hum Neurobiol, 4(4):219-27, 1985.
-
(1985)
Hum Neurobiol
, vol.4
, Issue.4
, pp. 219-227
-
-
Koch, C.1
Ullman, S.2
-
9
-
-
77951965557
-
Incremental sparse saliency detection
-
Jan
-
Y. Li, Y. Zhou, L. Xu, X. Yang, and J. Yang. Incremental sparse saliency detection. The International Conference on Image Processing, ICIP, Jan 2009.
-
(2009)
The International Conference on Image Processing, ICIP
-
-
Li, Y.1
Zhou, Y.2
Xu, L.3
Yang, X.4
Yang, J.5
-
10
-
-
76749107542
-
Online learning for matrix factorization and sparse coding
-
Jan
-
J. Mairal, F. Bach, J. Ponce, and G. Sapiro. Online learning for matrix factorization and sparse coding. Journal of Machine Learning, (11):19-60, Jan 2010.
-
(2010)
Journal of Machine Learning
, Issue.11
, pp. 19-60
-
-
Mairal, J.1
Bach, F.2
Ponce, J.3
Sapiro, G.4
-
12
-
-
0029938380
-
Emergence of simple-cell receptive field properties by learning a sparse code for natural images
-
B. Olshausen. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature, 381(6583):607-609, 1996.
-
(1996)
Nature
, vol.381
, Issue.6583
, pp. 607-609
-
-
Olshausen, B.1
-
13
-
-
5044223783
-
Is bottom-up attention useful for object recognition?
-
U. Rutishauser, D. Walther, C. Koch, and P. Perona. Is bottom-up attention useful for object recognition? IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR, 2004.
-
(2004)
IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR
-
-
Rutishauser, U.1
Walther, D.2
Koch, C.3
Perona, P.4
-
17
-
-
33847767957
-
Theoretical understanding of the early visual processes by data compression and data selection
-
L. Zhaoping. Theoretical understanding of the early visual processes by data compression and data selection. Network: Computation in neural systems, 17(4):301-334, 2006.
-
(2006)
Network: Computation in Neural Systems
, vol.17
, Issue.4
, pp. 301-334
-
-
Zhaoping, L.1
|