-
3
-
-
0034300875
-
A new LDA-based face recognition system which can solve the small sample size problem
-
Chen L.-F., Liao H.-Y.M., Ko M.-T., Lin J.-C., and Yu G.-J. A new LDA-based face recognition system which can solve the small sample size problem. Pattern Recognition 33 (2000) 1713-1726
-
(2000)
Pattern Recognition
, vol.33
, pp. 1713-1726
-
-
Chen, L.-F.1
Liao, H.-Y.M.2
Ko, M.-T.3
Lin, J.-C.4
Yu, G.-J.5
-
4
-
-
0344982887
-
Learning a locality preserving subspace for visual recognition
-
France
-
X. He, S. Yan, Y. Hu, H. Zhang, Learning a locality preserving subspace for visual recognition, in: Proceedings of the Ninth IEEE International Conference on Computer Vision, vol. 1, France, 2003, pp. 385-392.
-
(2003)
Proceedings of the Ninth IEEE International Conference on Computer Vision
, vol.1
, pp. 385-392
-
-
He, X.1
Yan, S.2
Hu, Y.3
Zhang, H.4
-
5
-
-
38949139483
-
Orthogonal neighborhood preserving discriminant analysis for face recognition
-
Hu H. Orthogonal neighborhood preserving discriminant analysis for face recognition. Pattern Recognition 41 (2008) 2045-2054
-
(2008)
Pattern Recognition
, vol.41
, pp. 2045-2054
-
-
Hu, H.1
-
6
-
-
0034704229
-
A global geometric framework for nonlinear dimensionality reduction
-
Tenenbaum J.B., de Silva V., and Langford J.C. A global geometric framework for nonlinear dimensionality reduction. Science 290 (2000) 2319-2323
-
(2000)
Science
, vol.290
, pp. 2319-2323
-
-
Tenenbaum, J.B.1
de Silva, V.2
Langford, J.C.3
-
7
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
Roweis S.T., and Saul L.K. Nonlinear dimensionality reduction by locally linear embedding. Science 290 (2000) 2323-2326
-
(2000)
Science
, vol.290
, pp. 2323-2326
-
-
Roweis, S.T.1
Saul, L.K.2
-
8
-
-
0043278893
-
Laplacian eigenmaps and spectral techniques for embedding and clustering
-
Cambridge
-
M. Belkin, P. Niyogi, Laplacian eigenmaps and spectral techniques for embedding and clustering, in: Proceedings of Advances in Neural Information Processing Systems, vol. 14, Cambridge, 2001, pp. 585-591.
-
(2001)
Proceedings of Advances in Neural Information Processing Systems
, vol.14
, pp. 585-591
-
-
Belkin, M.1
Niyogi, P.2
-
9
-
-
15044358511
-
Face recognition using Laplacianfaces
-
He X., Yan S., Hu Y., Niyogi P., and Zhang H. Face recognition using Laplacianfaces. IEEE Trans. Pattern Anal. Mach. Intell. 27 3 (2005) 328-340
-
(2005)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.27
, Issue.3
, pp. 328-340
-
-
He, X.1
Yan, S.2
Hu, Y.3
Niyogi, P.4
Zhang, H.5
-
10
-
-
34248185935
-
Neighborhood discriminant projection for face recognition
-
You Q., Zheng N., Du S., and Wu Y. Neighborhood discriminant projection for face recognition. Patter Recognition Lett. 28 (2007) 1156-1163
-
(2007)
Patter Recognition Lett.
, vol.28
, pp. 1156-1163
-
-
You, Q.1
Zheng, N.2
Du, S.3
Wu, Y.4
-
11
-
-
33644903839
-
Face recognition using discriminant locality preserving projections
-
Yu W., Teng X., and Liu C. Face recognition using discriminant locality preserving projections. Image Vision Comput. 24 (2006) 239-248
-
(2006)
Image Vision Comput.
, vol.24
, pp. 239-248
-
-
Yu, W.1
Teng, X.2
Liu, C.3
-
13
-
-
34547669000
-
Uncorrelated linear discriminant analysis based on weighted pairwise Fisher criterion
-
Liang Y., Li C., Gong W., and Pan Y. Uncorrelated linear discriminant analysis based on weighted pairwise Fisher criterion. Pattern Recognition 40 (2007) 3606-3615
-
(2007)
Pattern Recognition
, vol.40
, pp. 3606-3615
-
-
Liang, Y.1
Li, C.2
Gong, W.3
Pan, Y.4
-
14
-
-
14544297033
-
KPCA plus LDA: a complete kernel Fisher discriminant framework for feature extraction and recognition
-
Yang J., Frangi A.F., Yang J.-Y., Zhang D., and Jin Z. KPCA plus LDA: a complete kernel Fisher discriminant framework for feature extraction and recognition. IEEE Trans. Pattern Anal. Mach. Intell. 27 2 (2005) 230-244
-
(2005)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.27
, Issue.2
, pp. 230-244
-
-
Yang, J.1
Frangi, A.F.2
Yang, J.-Y.3
Zhang, D.4
Jin, Z.5
-
15
-
-
0001765951
-
A direct LDA algorithm for high-dimensional data-with application to face recognition
-
Yu H., and Yang J. A direct LDA algorithm for high-dimensional data-with application to face recognition. Pattern Recognition 34 (2001) 2067-2070
-
(2001)
Pattern Recognition
, vol.34
, pp. 2067-2070
-
-
Yu, H.1
Yang, J.2
-
16
-
-
39549121991
-
Eigenfeature regularization and extraction in face recognition
-
Jiang X., Mandal B., and Kot A. Eigenfeature regularization and extraction in face recognition. IEEE Trans. Pattern Anal. Mach. Intell. 30 3 (2008) 383-394
-
(2008)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.30
, Issue.3
, pp. 383-394
-
-
Jiang, X.1
Mandal, B.2
Kot, A.3
-
19
-
-
0036080160
-
Bagging, boosting, and the random subspace method for linear classifiers
-
Skurichina M., and Duin R.P.W. Bagging, boosting, and the random subspace method for linear classifiers. Pattern Anal. Appl. 5 (2002) 121-135
-
(2002)
Pattern Anal. Appl.
, vol.5
, pp. 121-135
-
-
Skurichina, M.1
Duin, R.P.W.2
-
20
-
-
33746424489
-
Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval
-
Tao D., Tang X., Li X., and Wu X. Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 28 7 (2006) 1088-1099
-
(2006)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.28
, Issue.7
, pp. 1088-1099
-
-
Tao, D.1
Tang, X.2
Li, X.3
Wu, X.4
-
21
-
-
33744962383
-
Random sampling for subspace face recognition
-
Wang X., and Tang X. Random sampling for subspace face recognition. Int. J. Comput. Vision 70 1 (2006) 91-104
-
(2006)
Int. J. Comput. Vision
, vol.70
, Issue.1
, pp. 91-104
-
-
Wang, X.1
Tang, X.2
-
22
-
-
52049106166
-
An improved random sampling LDA for face recognition
-
China
-
Y. Jiang, X. Chen, P. Guo, H. Lu, An improved random sampling LDA for face recognition, in: Proceedings of First International Congress on Image and Signal Processing, vol. 2, China, 2008, pp. 685-689.
-
(2008)
Proceedings of First International Congress on Image and Signal Processing
, vol.2
, pp. 685-689
-
-
Jiang, Y.1
Chen, X.2
Guo, P.3
Lu, H.4
-
23
-
-
56549087811
-
Null space discriminant locality preserving projections for face recognition
-
Yang L., Gong W., Gu X., Li W., and Liang Y. Null space discriminant locality preserving projections for face recognition. Neurocomputing 71 (2008) 3644-3649
-
(2008)
Neurocomputing
, vol.71
, pp. 3644-3649
-
-
Yang, L.1
Gong, W.2
Gu, X.3
Li, W.4
Liang, Y.5
-
24
-
-
0036487285
-
Why can LDA be performed in PCA transformed subspace?
-
Yang J., and Yang J.-Y. Why can LDA be performed in PCA transformed subspace?. Pattern Recognition 36 (2003) 563-566
-
(2003)
Pattern Recognition
, vol.36
, pp. 563-566
-
-
Yang, J.1
Yang, J.-Y.2
-
25
-
-
0030211964
-
Bagging predictors
-
Breiman L. Bagging predictors. Mach. Learn. 24 (1996) 123-140
-
(1996)
Mach. Learn.
, vol.24
, pp. 123-140
-
-
Breiman, L.1
-
27
-
-
0034290919
-
The FERET evaluation methodology for face recognition algorithms
-
Phillips P.J., Moon H., Rizvi S.A., and Rauss P.J. The FERET evaluation methodology for face recognition algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 22 10 (2000) 1090-1104
-
(2000)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.22
, Issue.10
, pp. 1090-1104
-
-
Phillips, P.J.1
Moon, H.2
Rizvi, S.A.3
Rauss, P.J.4
-
28
-
-
0347380229
-
The CMU pose, illumination, and expression database
-
Sim T., Baker S., and Bsat M. The CMU pose, illumination, and expression database. IEEE Trans. Pattern Anal. Mach. Intell. 25 12 (2003) 1615-1618
-
(2003)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.25
, Issue.12
, pp. 1615-1618
-
-
Sim, T.1
Baker, S.2
Bsat, M.3
|