-
2
-
-
33750378734
-
-
D. Cai, X. He, H. J., and Z. H.-J. Orthogonal laplacianfaces for face recognition. IEEE Trans. Image Processing, 15(11):3608-3614, 2006. 1, 5, 6
-
D. Cai, X. He, H. J., and Z. H.-J. Orthogonal laplacianfaces for face recognition. IEEE Trans. Image Processing, 15(11):3608-3614, 2006. 1, 5, 6
-
-
-
-
3
-
-
0034300875
-
A new LDA-based face recognition system which can solve the small sample size problem
-
2000
-
L.-F. Chen, H.-Y. M. Liao, M.-T. Ko, J.-C. Lin, and G.-J. Yu. A new LDA-based face recognition system which can solve the small sample size problem. Pattern Recognition, 33(10):1713-1726, 2000. 1
-
(1713)
Pattern Recognition
, vol.33
, Issue.10
, pp. 1
-
-
Chen, L.-F.1
Liao, H.-Y.M.2
Ko, M.-T.3
Lin, J.-C.4
Yu, G.-J.5
-
4
-
-
0035363672
-
From few to many: Illumination cone models for face recognition undervariable lighting and pose
-
A. Georghiades, P. Belhumeur, and D. Kriegman. From few to many: Illumination cone models for face recognition undervariable lighting and pose. IEEE Trans. Pattern Anal. Mach Intelligence, 23(6):643-660, 2005. 5
-
(2005)
IEEE Trans. Pattern Anal. Mach Intelligence
, vol.23
, Issue.6
-
-
Georghiades, A.1
Belhumeur, P.2
Kriegman, D.3
-
5
-
-
32044449925
-
Generalized cross-validation as a method for choosing a good ridge parameter
-
212
-
G. H. Golub, M. Heath, and G. Wahba. Generalized cross-validation as a method for choosing a good ridge parameter. Technometrics, 21(2):215-223, 1979. 4
-
(1979)
Technometrics
, vol.215-223
, pp. 4
-
-
Golub, G.H.1
Heath, M.2
Wahba, G.3
-
6
-
-
35148869451
-
-
I. Guyon. Kernel Ridge Regression. From http://clopinet.com/ isabelle/Projects/ETH/KernelRidge.pdf, 2005. 4
-
I. Guyon. Kernel Ridge Regression. From http://clopinet.com/ isabelle/Projects/ETH/KernelRidge.pdf, 2005. 4
-
-
-
-
9
-
-
15044358511
-
-
X. He, S. Yan, H. Y., N. P., and Z. H.-J. Face recognition using laplacianfaces. IEEE Trans. Pattern Anal. Mach Intelligence, 27(3):328-340, 2005. 1
-
X. He, S. Yan, H. Y., N. P., and Z. H.-J. Face recognition using laplacianfaces. IEEE Trans. Pattern Anal. Mach Intelligence, 27(3):328-340, 2005. 1
-
-
-
-
10
-
-
84942487147
-
Ridge regression: Applications to nonorthogonal problems
-
121
-
A. E. Hoerl and R. W. Kennard. Ridge regression: Applications to nonorthogonal problems. Technometrics, 12(1):69-82, 1970. 2
-
(1970)
Technometrics
, vol.69-82
, pp. 2
-
-
Hoerl, A.E.1
Kennard, R.W.2
-
11
-
-
84942484786
-
Ridge regression: Biased estimation for nonorthogonal problems
-
121
-
A. E. Hoerl and R. W. Kennard. Ridge regression: Biased estimation for nonorthogonal problems. Technometrics, 12(1):55-67, 1970. 2
-
(1970)
Technometrics
, vol.55-67
, pp. 2
-
-
Hoerl, A.E.1
Kennard, R.W.2
-
12
-
-
35148828895
-
-
J. Kittler, R. Ghaderi, W. T., and M. G. Face recognition using error correcting output codes. In Proc. of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '01), 2001. 6
-
J. Kittler, R. Ghaderi, W. T., and M. G. Face recognition using error correcting output codes. In Proc. of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '01), 2001. 6
-
-
-
-
13
-
-
35148844558
-
-
n. From http://www.math.udel.edu/lazebnik/papers/simplex.pdf, 2006. 2, 4
-
n. From http://www.math.udel.edu/lazebnik/papers/simplex.pdf, 2006. 2, 4
-
-
-
-
14
-
-
18144420071
-
Acquiring linear subspaces for face recognition under variable lighting
-
5
-
K. Lee, J. Ho, and D. Kriegman. Acquiring linear subspaces for face recognition under variable lighting. IEEE Trans. Pattern Anal. Mach Intelligence, 27(5):684-698, 2005. 5
-
(2005)
IEEE Trans. Pattern Anal. Mach Intelligence
, vol.27
, Issue.5
, pp. 684-698
-
-
Lee, K.1
Ho, J.2
Kriegman, D.3
-
15
-
-
35148831529
-
Recognize high resolution faces: From macrocosm to microcosm
-
D. Lin and X. Tang. Recognize high resolution faces: From macrocosm to microcosm. In Proc. of CVPR '06, 2006. 1
-
(2006)
Proc. of CVPR '06
, pp. 1
-
-
Lin, D.1
Tang, X.2
-
16
-
-
0000815402
-
Enhanced fisher linear discriminant moldeis for face recognition
-
C. Liu and H. Wechsler. Enhanced fisher linear discriminant moldeis for face recognition. In Proc. of ICPR '98, 1998. 1
-
(1998)
Proc. of ICPR '98
, pp. 1
-
-
Liu, C.1
Wechsler, H.2
-
17
-
-
0037274506
-
Face recognition using LDA-based algorithms
-
J. Lu, K. N. Plataniotis, and A. N. Venetsanopoulos. Face recognition using LDA-based algorithms. IEEE Trans, on Neural Networks, 14(1):195-200, 2003. 1
-
(2003)
IEEE Trans, on Neural Networks
, vol.14
, Issue.1
-
-
Lu, J.1
Plataniotis, K.N.2
Venetsanopoulos, A.N.3
-
19
-
-
35148853478
-
Survey: Cross-validation in Theory and in Practice
-
Dept. of Computational Science Reserach, David Sarnoff Reserach Center, Princeton, New Jersey, 3, 4
-
M. Plutowski. Survey: Cross-validation in Theory and in Practice. Research Report. Dept. of Computational Science Reserach, David Sarnoff Reserach Center, Princeton, New Jersey., 1996. 3, 4
-
(1996)
Research Report
-
-
Plutowski, M.1
-
22
-
-
4544292940
-
-
T. Sim, S. Baker, and M. Bsat. The CMU pose, illumination, and expression (PIE) database. In Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition, page 215, Washington, DC, USA, May 2002. IEEE Computer Society. 5
-
T. Sim, S. Baker, and M. Bsat. The CMU pose, illumination, and expression (PIE) database. In Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition, page 215, Washington, DC, USA, May 2002. IEEE Computer Society. 5
-
-
-
-
23
-
-
0347380229
-
The CMU pose, illumination, and expression (PIE) database
-
T. Sim, S. Baker, and M. Bsat. The CMU pose, illumination, and expression (PIE) database. IEEE Trans. Pattern Anal. Mach Intelligence, 25(12):1615-1618, 2003. 5
-
(2003)
IEEE Trans. Pattern Anal. Mach Intelligence
, vol.25
, Issue.12
-
-
Sim, T.1
Baker, S.2
Bsat, M.3
-
25
-
-
5044232408
-
Dual-space linear discriminant analysis for face recognition
-
X. Wang and X. Tang. Dual-space linear discriminant analysis for face recognition. In Proc. of CVPR'04, 2004. 1
-
(2004)
Proc. of CVPR'04
, pp. 1
-
-
Wang, X.1
Tang, X.2
-
26
-
-
5044232408
-
Random sampling LDA for face recognition
-
X. Wang and X. Tang. Random sampling LDA for face recognition. In Proc. of CVPR '04, 2004. 1
-
(2004)
Proc. of CVPR '04
, pp. 1
-
-
Wang, X.1
Tang, X.2
-
28
-
-
0003101940
-
Discriminant analysis of principal components for face recognition
-
W. Zhao, R. Chellappa, and A. Krishnaswamy. Discriminant analysis of principal components for face recognition. In Proc. of FGR'98, 1998. 1
-
(1998)
Proc. of FGR'98
, pp. 1
-
-
Zhao, W.1
Chellappa, R.2
Krishnaswamy, A.3
|