-
1
-
-
3242681758
-
Support vector tracking
-
August
-
S. Avidan. Support vector tracking. IEEE Trans. PAMI, 26(8):1064-1072, August 2004.
-
(2004)
IEEE Trans. PAMI
, vol.26
, Issue.8
, pp. 1064-1072
-
-
Avidan, S.1
-
2
-
-
51949089110
-
-
S. Baker, R. Gross, and I. Matthews. Lucas-kanade 20 years on: A unifying framework: Part 3. Technical Report CMU-RI-TR-03-01, Robotics Institute, Carnegie Mellon University, 2003.
-
S. Baker, R. Gross, and I. Matthews. Lucas-kanade 20 years on: A unifying framework: Part 3. Technical Report CMU-RI-TR-03-01, Robotics Institute, Carnegie Mellon University, 2003.
-
-
-
-
3
-
-
35048813574
-
Lucas-Kanade 20 years on: A unifying framework: Part 1: The quantity approximated, the warp update rule, and the gradient descent approximation
-
S. Baker and I. Matthews. Lucas-Kanade 20 years on: A unifying framework: Part 1: The quantity approximated, the warp update rule, and the gradient descent approximation. International Journal of Computer Vision, 2004.
-
(2004)
International Journal of Computer Vision
-
-
Baker, S.1
Matthews, I.2
-
5
-
-
0007727459
-
Eigen-tracking: Robust matching and tracking of articulated objects using a view-based representation
-
M. Black and A. Jepson. Eigen-tracking: Robust matching and tracking of articulated objects using a view-based representation. International Journal of Computer Vision, 36(2):101-130, 1998.
-
(1998)
International Journal of Computer Vision
, vol.36
, Issue.2
, pp. 101-130
-
-
Black, M.1
Jepson, A.2
-
7
-
-
27144489164
-
A tutorial on support vector machines for pattern recognition
-
C. J. C. Burges. A tutorial on support vector machines for pattern recognition. Knowledge Discovery and Data Mining, 2(2):121-167, 1998.
-
(1998)
Knowledge Discovery and Data Mining
, vol.2
, Issue.2
, pp. 121-167
-
-
Burges, C.J.C.1
-
8
-
-
24944509910
-
Generic vs. person specific active appearance models
-
November
-
R. Gross, S. Baker, and I. Matthews. Generic vs. person specific active appearance models. Image and Vision Computing, 23(11):1080-1093, November 2005.
-
(2005)
Image and Vision Computing
, vol.23
, Issue.11
, pp. 1080-1093
-
-
Gross, R.1
Baker, S.2
Matthews, I.3
-
9
-
-
51949096775
-
-
R. Gross, I. M. S. Baker, and T. Kanade. The CMU Multiple pose, illumination and expression (MultiPIE) database. Technical Report CMU-RI-TR-07-08, Robotics Institute, Carnegie Mellon University, 2007.
-
R. Gross, I. M. S. Baker, and T. Kanade. The CMU Multiple pose, illumination and expression (MultiPIE) database. Technical Report CMU-RI-TR-07-08, Robotics Institute, Carnegie Mellon University, 2007.
-
-
-
-
11
-
-
0006710373
-
Least-squares fitting of a polynomial constrained to be either non-negative, non-decreasing or convex
-
D. J. Hudson. Least-squares fitting of a polynomial constrained to be either non-negative, non-decreasing or convex. Journal of the Royal Statistical Society. Series B, 31(1):113-118, 1969.
-
(1969)
Journal of the Royal Statistical Society. Series B
, vol.31
, Issue.1
, pp. 113-118
-
-
Hudson, D.J.1
-
12
-
-
35548969471
-
Projected gradient methods for non-negative matrix factorization
-
October
-
C. J. Lin. Projected gradient methods for non-negative matrix factorization. Neural Computation, 19(10):2756-2779, October 2007.
-
(2007)
Neural Computation
, vol.19
, Issue.10
, pp. 2756-2779
-
-
Lin, C.J.1
-
16
-
-
24344486095
-
Sparse bayesian learning for efficient visual tracking
-
August
-
O. Williams, A. Blake, and R. Cipolla. Sparse bayesian learning for efficient visual tracking. IEEE Trans. PAMI, 27(8):1292-1304, August 2005.
-
(2005)
IEEE Trans. PAMI
, vol.27
, Issue.8
, pp. 1292-1304
-
-
Williams, O.1
Blake, A.2
Cipolla, R.3
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