-
1
-
-
0004236492
-
-
Johns Hopkins University Press, Baltimore, MD, USA
-
G. H. Golub and C. F. V. Loan. In Matrix computations. Johns Hopkins University Press, Baltimore, MD, USA, 1996.
-
(1996)
Matrix Computations
-
-
Golub, G.H.1
Loan, C.F.V.2
-
2
-
-
11144299132
-
A kernel view of the dimensionality reduction of manifolds
-
Proceedings, Twenty-First International Conference on Machine Learning, ICML 2004
-
J. Ham, D. D. Lee, S. Mika, and B. Scḧolkof. A kernel view of the dimensionality reduction of manifolds. In Int. Conf. on Machine Learning, pages 369-376, 2004. (Pubitemid 40290830)
-
(2004)
Proceedings, Twenty-First International Conference on Machine Learning, ICML 2004
, pp. 369-376
-
-
Ham, J.1
Lee, D.D.2
Mika, S.3
Scholkopf, B.4
-
3
-
-
56449127949
-
Grassmann discriminant analysis: A unifying view on subspace-based learning
-
J. Hamm and D. D. Lee. Grassmann discriminant analysis: a unifying view on subspace-based learning. In Int. Conf. on Machine Learning, pages 376-383, 2008.
-
(2008)
Int. Conf. on Machine Learning
, pp. 376-383
-
-
Hamm, J.1
Lee, D.D.2
-
5
-
-
15044358511
-
Face recognition using Laplacianfaces
-
DOI 10.1109/TPAMI.2005.55
-
X. He, S. Yan, Y. Hu, P. Niyogi, and H.-J. Zhang. Face recognition using laplacianfaces. IEEE Trans. on Pattern Analysis and Machine Intelligence, 27(3):328-340, March 2005. (Pubitemid 40377326)
-
(2005)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.27
, Issue.3
, pp. 328-340
-
-
He, X.1
Yan, S.2
Hu, Y.3
Niyogi, P.4
Zhang, H.-J.5
-
6
-
-
18144420071
-
Acquiring linear subspaces for face recognition under variable lighting
-
DOI 10.1109/TPAMI.2005.92
-
K. Lee, J. Ho, and D. Kriegman. Acquiring linear subspaces for face recognition under variable lighting. IEEE Trans. on Pattern Analysis and Machine Intelligence, 27(5):684-698, 2005. (Pubitemid 40608402)
-
(2005)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.27
, Issue.5
, pp. 684-698
-
-
Lee, K.-C.1
Ho, J.2
Kriegman, D.J.3
-
7
-
-
33745952617
-
Kernel-based multifactor analysis for image synthesis and recognition
-
DOI 10.1109/ICCV.2005.131, 1541246, Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005
-
Y. Li, Y. Du, and X. Lin. Kernel-based multifactor analysis for image synthesis and recognition. In Int. Conf. on Computer Vision, volume 1, pages 114-119, 2005. (Pubitemid 44054948)
-
(2005)
Proceedings of the IEEE International Conference on Computer Vision
, vol.1
, pp. 114-119
-
-
Li, Y.1
Du, Y.2
Lin, X.3
-
8
-
-
35148895418
-
Individual kernel tensor-subspaces for robust face recognition: A computationally efficient tensor framework without requiring mode factorization
-
DOI 10.1109/TSMCB.2007.904575, Special Issue on Recent Advances in Biometric Systems
-
S. W. Park and M. Savvides. Individual kernel tensor-subspaces for robust face recognition: A computationally efficient tensor framework without requiring mode factorization. IEEE Trans. on Systems, Man and Cybernetics-Part B: Cybernetics, 37(5):1156-1166, 2007. (Pubitemid 47534584)
-
(2007)
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
, vol.37
, Issue.5
, pp. 1156-1166
-
-
Park, S.W.1
Savvides, M.2
-
9
-
-
77955987706
-
An extension of multifactor analysis for face recognition based on submanifold learning
-
S. W. Park and M. Savvides. An extension of multifactor analysis for face recognition based on submanifold learning. In Int. Conf. on Pattern Recognition, volume 1, pages 2645-2652, 2010.
-
(2010)
Int. Conf. on Pattern Recognition
, vol.1
, pp. 2645-2652
-
-
Park, S.W.1
Savvides, M.2
-
10
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
DOI 10.1126/science.290.5500.2323
-
S. T. Roweis and L. K. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290:2323-2326, December 2000. (Pubitemid 32041578)
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2323-2326
-
-
Roweis, S.T.1
Saul, L.K.2
-
11
-
-
0347243182
-
Nonlinear component analysis as a kernel eigenvalue problem
-
B. Scḧolkopf, A. Smola, and K.-R. M̈uller. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, pages 1299-1319.
-
Neural Computation
, pp. 1299-1319
-
-
Scḧolkopf, B.1
Smola, A.2
M̈uller, K.-R.3
-
12
-
-
0347380229
-
The CMU pose, illumination, and expression database
-
December
-
T. Sim, S. Baker, and M. Bsat. The CMU pose, illumination, and expression database. IEEE Trans. on Pattern Analysis and Machine Intelligence, 25(12):1615-1618, December 2003.
-
(2003)
IEEE Trans. on Pattern Analysis and Machine Intelligence
, vol.25
, Issue.12
, pp. 1615-1618
-
-
Sim, T.1
Baker, S.2
Bsat, M.3
-
13
-
-
0034704229
-
A global geometric framework for nonlinear dimensionality reduction
-
DOI 10.1126/science.290.5500.2319
-
J. B. Tenenbaum, V. de Silva, and J. C. Langford. A global geometric framework for nonlinear dimensionality reduction. Science, 290:2319-2323, December 2000. (Pubitemid 32041577)
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2319-2323
-
-
Tenenbaum, J.B.1
De Silva, V.2
Langford, J.C.3
|