-
1
-
-
0018878142
-
A feature-integration theory of attention
-
A. Treisman and G. Gelade “A feature-integration theory of attention,” Cogn. Psychol., vol. 12, no. 1, pp. 97–136, 1980.
-
(1980)
Cogn. Psychol.
, vol.12
, Issue.1
, pp. 97-136
-
-
Treisman, A.1
Gelade, G.2
-
2
-
-
0032204063
-
A model of saliency-based visual attention for rapid scene analysis
-
L. Itti, C. Koch, and E. Niebur “A model of saliency-based visual attention for rapid scene analysis,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 20, no. 11, pp. 1254–1259, 1998.
-
(1998)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.20
, Issue.11
, pp. 1254-1259
-
-
Itti, L.1
Koch, C.2
Niebur, E.3
-
5
-
-
84863367863
-
Robust principal component analysis: Exact recovery of corrupted low-rank matrices by convex optimization
-
J. Wright, Y. Peng, Y. Ma, A. Ganesh, and S. Rao, “Robust principal component analysis: Exact recovery of corrupted low-rank matrices by convex optimization,” in Proc. Advances in Neural Information Processing Systems, 2009.
-
(2009)
Proc. Advances in Neural Information Processing Systems
-
-
Wright, J.1
Peng, Y.2
Ma, Y.3
Ganesh, A.4
Rao, S.5
-
6
-
-
77955690054
-
The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low Rank Matrices UIUC Tech
-
Oct.
-
Z. Lin, M. Chen, L. Wu, and Y. Ma, The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low Rank Matrices UIUC Tech. Rep. UILU-ENG-09-2215, Oct. 2009.
-
(2009)
Rep. UILU-ENG-09-2215
-
-
Lin, Z.1
Chen, M.2
Wu, L.3
Ma, Y.4
-
7
-
-
84867850599
-
Robust principal component analysis?
-
submitted for publication
-
E. Candes, X. Li, Y. Ma, and J. Wright, “Robust principal component analysis?,” J. ACM, 2009, submitted for publication.
-
(2009)
J. ACM
-
-
Candes, E.1
Li, X.2
Ma, Y.3
Wright, J.4
-
8
-
-
0029938380
-
Emergence of simple-cell receptive field properties by learning a sparse code for natural images
-
B. Olshausen and D. Field “Emergence of simple-cell receptive field properties by learning a sparse code for natural images,” Nature, vol. 381, no. 6583, pp. 607–609, 1996.
-
(1996)
Nature
, vol.381
, Issue.6583
, pp. 607-609
-
-
Olshausen, B.1
Field, D.2
-
9
-
-
76749107542
-
Online learning for matrix factorization and sparse coding
-
J. Mairal, F. Bach, J. Ponce, and G. Sapiro, “Online learning for matrix factorization and sparse coding,” J. Mach. Learn. Res., 2010.
-
(2010)
J. Mach. Learn. Res.
-
-
Mairal, J.1
Bach, F.2
Ponce, J.3
Sapiro, G.4
-
11
-
-
0035328421
-
Modeling the shape of the scene: A holistic representation of the spatial envelope
-
A. Oliva and A. Torralba, “Modeling the shape of the scene: A holistic representation of the spatial envelope,” Int. J. Comput. Vis., vol. 42, pp. 145–175, 2001.
-
(2001)
Int. J. Comput. Vis.
, vol.42
, pp. 145-175
-
-
Oliva, A.1
Torralba, A.2
-
12
-
-
11144343233
-
Visual correlates of fixation selection: Effects of scale and time
-
B. Tatler, R. Baddele, and I. Gilchrist, “Visual correlates of fixation selection: Effects of scale and time,” Vis. Res., vol. 14, pp. 643–659, 2005.
-
(2005)
Vis. Res.
, vol.14
, pp. 643-659
-
-
Tatler, B.1
Baddele, R.2
Gilchrist, I.3
-
13
-
-
33750684017
-
Modeling attention to salient proto-objects
-
D. Walther and C. Koch, “Modeling attention to salient proto-objects,” Neural Netw., vol. 19, pp. 1395–1407, 2006.
-
(2006)
Neural Netw.
, vol.19
, pp. 1395-1407
-
-
Walther, D.1
Koch, C.2
-
14
-
-
62649143331
-
Saliency, attention, and visual search: An information theoretic approach
-
N. Bruce and J. Tsotsos, “Saliency, attention, and visual search: An information theoretic approach,” J. Vis., vol. 9, no. 3, pp. 1–24, 2009.
-
(2009)
J. Vis.
, vol.9
, Issue.3
, pp. 1-24
-
-
Bruce, N.1
Tsotsos, J.2
-
16
-
-
58149506125
-
SUN: A Bayesian framework for saliency using natural statistics
-
L. Zhang, M. Tong, T. Marks, H. Shan, and G. Cottrell, “SUN: A Bayesian framework for saliency using natural statistics,” J. Vis., vol. 8, no. 7, pp. 1–20, 2008.
-
(2008)
J. Vis.
, vol.8
, Issue.7
, pp. 1-20
-
-
Zhang, L.1
Tong, M.2
Marks, T.3
Shan, H.4
Cottrell, G.5
-
17
-
-
78651063563
-
Efficient recovery of jointly sparse vectors
-
J. Chen, J. Ye, L. Sun, and J. Liu, “Efficient recovery of jointly sparse vectors,” in Proc. Advances in Neural Information Processing Systems, 2009.
-
(2009)
Proc. Advances in Neural Information Processing Systems
-
-
Chen, J.1
Ye, J.2
Sun, L.3
Liu, J.4
|