-
1
-
-
70549103182
-
-
FG-NET Aging Database. http://www.fgnet.rsunit.com
-
-
-
-
2
-
-
35148892730
-
Biased manifold embedding: A framework for person-independent head pose estimation
-
V. N. Balasubramanian, J. Ye, and S. Panchanathan. Biased manifold embedding: A framework for person-independent head pose estimation. In IEEE Conf. CVPR, pp. 1-7, 2007.
-
(2007)
IEEE Conf. CVPR
, pp. 1-7
-
-
Balasubramanian, V.N.1
Ye, J.2
Panchanathan, S.3
-
3
-
-
78650291959
-
Learning distance function by coding similarity
-
A. Bar-Hillel and D. Weinshall. Learning distance function by coding similarity. Proc. ICML, pp. 65-72, 2007.
-
(2007)
Proc. ICML
, pp. 65-72
-
-
Bar-Hillel, A.1
Weinshall, D.2
-
4
-
-
33750729556
-
Manifold regularization: A geometric framework for tearing from labeled and unlabeled examples
-
M. Belkin, P. Niyogi, and V. Sindhwani. Manifold regularization: a geometric framework for tearing from labeled and unlabeled examples. Journal of Machine Learning Research, 7:2399-2434, 2006.
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 2399-2434
-
-
Belkin, M.1
Niyogi, P.2
Sindhwani, V.3
-
5
-
-
33750378734
-
-
D. Cai, X. He, J. Han, and H. J. Zhang. Orthogonal laplacianfaces for face recognition. IEEE Trans. Image Processing, 15:3608-3614, 2006.
-
(2006)
Orthogonal Laplacianfaces for Face Recognition. IEEE Trans. Image Processing
, vol.15
, pp. 3608-3614
-
-
Cai, D.1
He, X.2
Han, J.3
Zhang, H.J.4
-
6
-
-
0035363218
-
Active appearance models
-
T. Cootes, G. Edwards, and C. Taylar. Active appearance models. IEEE Trans. Pattern Analysis & Machine Intelligence, 23(6):681-685, 2001.
-
(2001)
IEEE Trans. Pattern Analysis & Machine Intelligence
, vol.23
, Issue.6
, pp. 681-685
-
-
Cootes, T.1
Edwards, G.2
Taylar, C.3
-
8
-
-
0032248540
-
Facial aging, attractiveness, and aistinctiveness
-
K. A. Deffenbacher, T. Vetter, J. Johanson, and A. J. O'Toole. Facial aging, attractiveness, and aistinctiveness. Perception, 27, 1998.
-
(1998)
Perception
, vol.27
-
-
Deffenbacher, K.A.1
Vetter, T.2
Johanson, J.3
O'Toole, A.J.4
-
9
-
-
70349373021
-
When does geodesic distance recover the true hidden parametrization of families of articulated images?
-
D. L. Donoho and C. E. Grimes. When does geodesic distance recover the true hidden parametrization of families of articulated images? Proc. European Symposium on Artificial Neural Networks, 2002.
-
(2002)
Proc. European Symposium on Artificial Neural Networks
-
-
Donoho, D.L.1
Grimes, C.E.2
-
10
-
-
0742290014
-
Comparing different classifiers for automatic age estimation
-
A. L. C. Draganova and C. Christodoulou. Comparing different classifiers for automatic age estimation. IEEE Trans. Systems, Man, and Cybernetics, 34(1):621-628, 2004.
-
(2004)
IEEE Trans. Systems, Man, and Cybernetics
, vol.34
, Issue.1
, pp. 621-628
-
-
Draganova, A.L.C.1
Christodoulou, C.2
-
11
-
-
0003922190
-
-
2nd ed. John Wiley & Sons, Inc., New York
-
R. O. Duda, P. E. Hart, and D. G. Stork. Pattern Classification, 2nd ed. John Wiley & Sons, Inc., New York, 2001.
-
(2001)
Pattern Classification
-
-
Duda, R.O.1
Hart, P.E.2
Stork, D.G.3
-
13
-
-
34547196758
-
Learning from facial aging patterns for automatic age estimation
-
X. Geng, Z. H. Zhou, Y. Zhang, G. Li, and H. Dai. Learning from facial aging patterns for automatic age estimation. Proc. ACM Conf. Multimedia, pp.307-316, 2006.
-
(2006)
Proc. ACM Conf. Multimedia
, pp. 307-316
-
-
Geng, X.1
Zhou, Z.H.2
Zhang, Y.3
Li, G.4
Dai, H.5
-
16
-
-
45949109037
-
Image-based human age estimation by manifold learning and locally adjusted robust regression
-
G. Guo, Y. Fu, C. Dyer, and T. S. Huang. Image-based human age estimation by manifold learning and locally adjusted robust regression. IEEE Trans. on Image Processing, 17:1178-1188, 2008.
-
(2008)
IEEE Trans. on Image Processing
, vol.17
, pp. 1178-1188
-
-
Guo, G.1
Fu, Y.2
Dyer, C.3
Huang, T.S.4
-
17
-
-
0036537914
-
Toward automatic simulation, of aging effects on face images
-
A. Lanitis, C. J. Taylor, and T. Cootes. Toward automatic simulation, of aging effects on face images. IEEE Trans. Pattern Analysis and Machine Intelligence, 24(4):442-455, 2002.
-
(2002)
IEEE Trans. Pattern Analysis and Machine Intelligence
, vol.24
, Issue.4
, pp. 442-455
-
-
Lanitis, A.1
Taylor, C.J.2
Cootes, T.3
-
19
-
-
70349375765
-
Regression on manifolds using kernel dimension reduction
-
J. Nilsson, F. Sha, and M. I. Jordan. Regression on manifolds using kernel dimension reduction. IEEE Conf. ICML, pp. 265-272, 2007.
-
(2007)
IEEE Conf. ICML
, pp. 265-272
-
-
Nilsson, J.1
Sha, F.2
Jordan, M.I.3
-
21
-
-
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(5500):2323-2326, 2000. (Pubitemid 32041578)
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2323-2326
-
-
Roweis, S.T.1
Saul, L.K.2
-
22
-
-
0003408420
-
-
MIT Press, Cambridge, MA
-
B. Scholkopf and A. J. Smola. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. MIT Press, Cambridge, MA, 2002.
-
(2002)
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond.
-
-
Scholkopf, B.1
Smola, A.J.2
-
23
-
-
52949143093
-
Geodesic gaussian kernels for value function approximation
-
M. Sugiyama, H. Hachiya, C. Towell, and S. Vijayakumar. Geodesic gaussian kernels for value function approximation, Autonomous Robots, 25:287-304, 2008.
-
(2008)
Autonomous Robots
, vol.25
, pp. 287-304
-
-
Sugiyama, M.1
Hachiya, H.2
Towell, C.3
Vijayakumar, S.4
-
24
-
-
0034704229
-
A global geometric framework for nonlinear dimensionally reduction
-
J. B. Tenebaum, V. de. Silva, and J. C. Langford. A global geometric framework for nonlinear dimensionally reduction. Science, 290(5500): 2319-2323, 2000.
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2319-2323
-
-
Tenebaum, J.B.1
De Silva, V.2
Langford, J.C.3
-
25
-
-
33749550361
-
Distance metric learning for large margin nearest neighbor classification
-
K.Weinberger, J. Blitzer, and L. Saul. Distance metric learning for large margin nearest neighbor classification. Proc. NIPS, pp. 1475-1482, 2006.
-
(2006)
Proc. NIPS
, pp. 1475-1482
-
-
Weinberger, K.1
Blitzer, J.2
Saul, L.3
-
26
-
-
85133386144
-
Distance metric learning with application to clustering with side-information
-
E. Xing, A. Ng, M. I. Jordan, and S. Russell. Distance metric learning with application to clustering with side-information. Proc. NIPS, 2002.
-
(2002)
Proc. NIPS
-
-
Xing, E.1
Ng, A.2
Jordan, M.I.3
Russell, S.4
-
28
-
-
50649098885
-
Learning autostructured regressor from uncertain nonnegative labels
-
S. Yan, H. Wang, X. Tang, and T. S. Huang. Learning autostructured regressor from uncertain nonnegative labels. IEEE Conf. ICCV, pp. 1-8, 2007.
-
(2007)
IEEE Conf. ICCV
, pp. 1-8
-
-
Yan, S.1
Wang, H.2
Tang, X.3
Huang, T.S.4
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