-
1
-
-
0026065565
-
Eigenfaces for recognition
-
8hq ZZZZZZ 0898-929X 10.1162/jocn.1991.3.1.71
-
M., Turk and A., Pentland, " Eigenfaces for recognition, ", J. Cogn Neurosci., 3 (1), 71-86 (1991). 8hq ZZZZZZ 0898-929X 10.1162/jocn.1991.3.1. 71
-
(1991)
J. Cogn Neurosci.
, vol.3
, Issue.1
, pp. 71-86
-
-
Turk, M.1
Pentland, A.2
-
2
-
-
0036477056
-
Face recognition using kernel principal component analysis
-
DOI 10.1109/97.991133, PII S1070990802034004
-
K. I., Kim, K., Jung, and H. J., Kim, " Face recognition using kernel principal component analysis, ", IEEE Signal Process. Lett., 9 (2), 40-42 (2002). isp ISPLEM 1070-9908 10.1109/97.991133 (Pubitemid 34490978)
-
(2002)
IEEE Signal Processing Letters
, vol.9
, Issue.2
, pp. 40-42
-
-
Kim, K.I.1
Jung, K.2
Kim, H.J.3
-
3
-
-
84905388890
-
Kernel, eigenfaces vs. kernel fisherfaces: Face recognition using kernel methods
-
M. H., Yang, " Kernel, eigenfaces vs. kernel fisherfaces: face recognition using kernel methods, ", 5th IEEE Intl. Conf. Auto. Face Gesture Recog., pp. 215-220 (2002).
-
(2002)
5th IEEE Intl. Conf. Auto. Face Gesture Recog
, pp. 215-220
-
-
Yang, M.H.1
-
4
-
-
0043278893
-
Laplacian eigenmaps and spectral techniques for embedding and clustering
-
M., Belkin and P., Niyogi, " Laplacian eigenmaps and spectral techniques for embedding and clustering, ", Conf. Adv. Neural Info. Process. Syst., vol. 14, pp. 585-591 (2001).
-
(2001)
Conf. Adv. Neural Info. Process. Syst.
, vol.14
, pp. 585-591
-
-
Belkin, M.1
Niyogi, P.2
-
5
-
-
15044358511
-
Face recognition using Laplacianfaces
-
DOI 10.1109/TPAMI.2005.55
-
X., He, S., Yan, Y., Hu, P., Niyogi, and H., Zhang, " Face recognition using laplacianfaces, ", IEEE Trans. Pattern Anal. Mach. Intell., 27 (3), 328-340 (2005). ipa ITPIDJ 0162-8828 10.1109/TPAMI.2005.55 (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
-
-
63249091134
-
An introduction to locally linear embedding
-
L., Saul and S. T., Roweis, " An introduction to locally linear embedding, " Report at AT&T Labs Research, 2000, http://www.cs.toronto. edu/~roweis/lle/publications.html.
-
(2000)
Report at AT&T Labs Research
-
-
Saul, L.1
Roweis, S.T.2
-
7
-
-
2342517502
-
Think globally, fit locally: Unsupervised learning of low dimensional manifolds
-
bc4 ZZZZZZ 1532-4435 10.1162/153244304322972667
-
L., Saul and S. T., Roweis, " Think globally, fit locally: unsupervised learning of low dimensional manifolds, ", J. Mach. Learn. Res., 4, 119-155 (2003). bc4 ZZZZZZ 1532-4435 10.1162/153244304322972667
-
(2003)
J. Mach. Learn. Res.
, vol.4
, pp. 119-155
-
-
Saul, L.1
Roweis, S.T.2
-
8
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
DOI 10.1126/science.290.5500.2323
-
S. T., Roweis and L., Saul, " Nonlinear dimensionality reduction by locally linear embedding, ", Science, 290 (5500), 2323-2326 (2000). sci SCIEAS 0036-8075 10.1126/science.290.5500.2323 (Pubitemid 32041578)
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2323-2326
-
-
Roweis, S.T.1
Saul, L.K.2
-
9
-
-
33745881038
-
Neighborhood preserving embedding
-
1544858, Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005
-
X., He, D., Cai, S., Yan, and H. J., Zhang, " Neighborhood preserving embedding, ", 10th IEEE Intl. Conf. Computer Vision, pp. 1208-1213 (2005). (Pubitemid 44042318)
-
(2005)
Proceedings of the IEEE International Conference on Computer Vision
, vol.2
, pp. 1208-1213
-
-
He, X.1
Cai, D.2
Yan, S.3
Zhang, H.-J.4
-
10
-
-
19944404611
-
Locally linear embedding for classification
-
PH-2002-01, Pattern Recognition Group, Dept. of Imaging Science and Technology, Delft Univ. of Technology, The Netherlands
-
D., de Ridder and R. P. W., Duin, " Locally linear embedding for classification, " Technical Report, PH-2002-01, Pattern Recognition Group, Dept. of Imaging Science and Technology, Delft Univ. of Technology, The Netherlands (2002).
-
(2002)
Technical Report
-
-
De Ridder, D.1
Duin, R.P.W.2
-
11
-
-
25844493299
-
A facial expression recognition system based on supervised locally linear embedding
-
DOI 10.1016/j.patrec.2005.04.011, PII S0167865505001273
-
D., Liang, J., Yang, Z. L., Zheng, and Y. C., Chang, " A facial expression recognition system based on supervised locally linear embedding, ", Pattern Recogn. Lett., 26, 2374-2389 (2005). prj PRLEDG 0167-8655 10.1016/j.patrec.2005.04.011 (Pubitemid 41394294)
-
(2005)
Pattern Recognition Letters
, vol.26
, Issue.15
, pp. 2374-2389
-
-
Liang, D.1
Yang, J.2
Zheng, Z.3
Chang, Y.4
-
12
-
-
38049076079
-
A supervised subspace learning algorithm: Supervised neighborhood preserving embedding
-
X., Zeng and S., Luo, " A supervised subspace learning algorithm: supervised neighborhood preserving embedding, ", 3rd Intl. Conf. Adv. Data Mining Appl., pp. 81-88 (2007).
-
(2007)
3rd Intl. Conf. Adv. Data Mining Appl
, pp. 81-88
-
-
Zeng, X.1
Luo, S.2
-
13
-
-
0031185845
-
Eigenfaces vs. fisherfaces: Recognition using class specific linear projection
-
P. N., Belhumeur, J. P., Hespanha, and D. J., Kriegman, " Eigenfaces vs. fisherfaces: recognition using class specific linear, ", IEEE Trans. Pattern Anal. Mach. Intell., 19, 711-720 (1997). ipa ITPIDJ 0162-8828 10.1109/34.598228 (Pubitemid 127762263)
-
(1997)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.19
, Issue.7
, pp. 711-720
-
-
Belhumeur, P.N.1
Hespanha, J.P.2
Kriegman, D.J.3
-
14
-
-
33144458972
-
Efficient and robust feature extraction by maximum margin criterion
-
DOI 10.1109/TNN.2005.860852
-
H., Li and T., Jiang, " Efficient and robust feature extraction by maximum margin criterion, ", IEEE Trans. Neural Netw., 17 (1), 157-165 (2006). inn ITNNEP 1045-9227 10.1109/TNN.2005.860852 (Pubitemid 43263948)
-
(2006)
IEEE Transactions on Neural Networks
, vol.17
, Issue.1
, pp. 157-165
-
-
Li, H.1
Jiang, T.2
Zhang, K.3
-
15
-
-
0004236492
-
-
3rd ed., The Johns Hopkins University Press, Baltimore, MD
-
G. H., Golub and C. F., Van Loan, Matrix Computations, 3rd ed., The Johns Hopkins University Press, Baltimore, MD (1996).
-
(1996)
Matrix Computations
-
-
Golub, G.H.1
Van Loan, C.F.2
-
16
-
-
0028734063
-
Parameterisation of a stochastic model for human face identification
-
F., Samaria and A., Harter, " Parameterisation of a stochastic model for human face identification, ", 2nd IEEE Workshop Appl. Computer Vision, pp. 1615-1618 (1994).
-
(1994)
2nd IEEE WorkshoAppl. Computer Vision
, pp. 1615-1618
-
-
Samaria, F.1
Harter, A.2
-
17
-
-
0347380229
-
The CMU pose, illumination, and expression database
-
ipa ITPIDJ 0162-8828 10.1109/TPAMI.2003.1251154
-
T., Sim, S., Baker, and M., Bsat, " The CMU Pose, Illumination, and Expression Database, ", IEEE Trans. Pattern Anal. Mach. Intell., 25 (12), 1615-1618 (2003). ipa ITPIDJ 0162-8828 10.1109/TPAMI.2003.1251154
-
(2003)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.25
, Issue.12
, pp. 1615-1618
-
-
Sim, T.1
Baker, S.2
Bsat, M.3
-
18
-
-
33745164328
-
Overview of the face recognition grand challenge
-
DOI 10.1109/CVPR.2005.268, 1467368, Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005
-
P. J., Phillips, P. J., Flynn, T., Scruggs, K. W., Bowyer, J., Chang, K., Hoffman, J., Marques, J., Min, and W., Worek, " Overview of the face recognition grand challenge, ", IEEE Intl. Conf. Computer Vision Patt. Recog., CVPR05, 947-954 (2005). (Pubitemid 43897294)
-
(2005)
Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005
, vol.1
, pp. 947-954
-
-
Phillips, P.J.1
Flynn, P.J.2
Scruggs, T.3
Bowyer, K.W.4
Chang, J.5
Hoffman, K.6
Marques, J.7
Min, J.8
Worek, W.9
|