-
1
-
-
77952534763
-
-
UCI machine learning repository.
-
A. Asuncion, D.J. Newman, UCI machine learning repository, 2007.
-
(2007)
-
-
Asuncion, A.1
Newman, D.J.2
-
2
-
-
0031185845
-
Eigenfaces vs. Fisherfaces: recognition using class specific linear projection
-
Belhumeur P., Hespanha J., Kriegman D. Eigenfaces vs. Fisherfaces: recognition using class specific linear projection. PAMI 1997, 19(7):711-720.
-
(1997)
PAMI
, vol.19
, Issue.7
, pp. 711-720
-
-
Belhumeur, P.1
Hespanha, J.2
Kriegman, D.3
-
3
-
-
77952532818
-
-
Spectral regression for efficient regularized subspace learning, in: CVPR.
-
D. Cai, X. He, J. Han, Spectral regression for efficient regularized subspace learning, in: CVPR, 2007.
-
(2007)
-
-
Cai, D.1
He, X.2
Han, J.3
-
4
-
-
33749252873
-
-
The MIT Press, Cambridge, MA
-
Chapelle O., Schölkopf B., Zien A. Semi-supervised Learning 2006, The MIT Press, Cambridge, MA.
-
(2006)
Semi-supervised Learning
-
-
Chapelle, O.1
Schölkopf, B.2
Zien, A.3
-
5
-
-
77952550960
-
-
A new kernelization framework for Mahalanobis distance learning algorithms, Neurocomputing, this issue, doi:10.1016/j.neucom.2009.11.037.
-
R. Chatpatanasiri, T. Korsrilabutr, P. Tangchanachaianan, B. Kijsirikul, A new kernelization framework for Mahalanobis distance learning algorithms, Neurocomputing , 2010, this issue, doi:10.1016/j.neucom.2009.11.037.
-
(2010)
-
-
Chatpatanasiri, R.1
Korsrilabutr, T.2
Tangchanachaianan, P.3
Kijsirikul, B.4
-
6
-
-
85118286600
-
-
Local discriminant embedding and its variants, in: CVPR.
-
H.T. Chen, H.W. Chang, T.L. Liu, Local discriminant embedding and its variants, in: CVPR, 2005.
-
(2005)
-
-
Chen, H.T.1
Chang, H.W.2
Liu, T.L.3
-
7
-
-
20444479137
-
-
A supervised nonlinear local embedding for face recognition, in: International Conference on Image Processing.
-
J. Cheng, Q. Liu, H. Lu, Y. Chen, A supervised nonlinear local embedding for face recognition, in: International Conference on Image Processing, vol. 1, 2004.
-
(2004)
, vol.1
-
-
Cheng, J.1
Liu, Q.2
Lu, H.3
Chen, Y.4
-
10
-
-
0035363672
-
From few to many: illumination cone models for face recognition under variable lighting and pose
-
Georghiades A., Belhumeur P., Kriegman D. From few to many: illumination cone models for face recognition under variable lighting and pose. PAMI 2001, 23(6):643-660.
-
(2001)
PAMI
, vol.23
, Issue.6
, pp. 643-660
-
-
Georghiades, A.1
Belhumeur, P.2
Kriegman, D.3
-
11
-
-
84864030708
-
-
Metric learning by collapsing classes, in: NIPS.
-
A. Globerson, S. Roweis, Metric learning by collapsing classes, in: NIPS, vol. 18, 2006, pp. 451-458.
-
(2006)
, vol.18
, pp. 451-458
-
-
Globerson, A.1
Roweis, S.2
-
12
-
-
84898993653
-
-
Neighbourhood components analysis, in: NIPS.
-
J. Goldberger, S. Roweis, G. Hinton, R. Salakhutdinov, Neighbourhood components analysis, in: NIPS, 2005, pp. 513-520.
-
(2005)
, pp. 513-520
-
-
Goldberger, J.1
Roweis, S.2
Hinton, G.3
Salakhutdinov, R.4
-
13
-
-
13444286179
-
-
Locality preserving projections, in: NIPS.
-
X. He, P. Niyogi, Locality preserving projections, in: NIPS, vol. 16, 2004.
-
(2004)
, vol.16
-
-
He, X.1
Niyogi, P.2
-
14
-
-
33845594193
-
-
Learning distance metrics with contextual constraints for image retrieval, in: CVPR.
-
S.C.H. Hoi, W. Liu, M.R. Lyu, W.-Y. Ma, Learning distance metrics with contextual constraints for image retrieval, in: CVPR, 2006.
-
(2006)
-
-
Hoi, S.C.H.1
Liu, W.2
Lyu, M.R.3
Ma, W.Y.4
-
15
-
-
33144458972
-
Efficient and robust feature extraction by maximum margin criterion
-
Li H., Jiang T., Zhang K. Efficient and robust feature extraction by maximum margin criterion. IEEE Neural Networks 2006, 17(1):157-165.
-
(2006)
IEEE Neural Networks
, vol.17
, Issue.1
, pp. 157-165
-
-
Li, H.1
Jiang, T.2
Zhang, K.3
-
16
-
-
45549085231
-
-
KPCA for semantic object extraction in images. Pattern Recognition 41
-
J. Li, X. Li, D. Tao, KPCA for semantic object extraction in images. Pattern Recognition 41 (2008) 3244-3250.
-
(2008)
, pp. 3244-3250
-
-
Li, J.1
Li, X.2
Tao, D.3
-
17
-
-
41649120173
-
Discriminant locally linear embedding with high-order tensor data
-
Li X., Lin S., Yan S., Xu D. Discriminant locally linear embedding with high-order tensor data. Systems Man and Cybernetics-Part B 2008, 38:342-352.
-
(2008)
Systems Man and Cybernetics-Part B
, vol.38
, pp. 342-352
-
-
Li, X.1
Lin, S.2
Yan, S.3
Xu, D.4
-
21
-
-
44649132677
-
A Unified framework for semi-supervised dimensionality reduction
-
Song Y., Nie F., Zhang C., Xiang S. A Unified framework for semi-supervised dimensionality reduction. Pattern Recognition 2008, 41:2789-2799.
-
(2008)
Pattern Recognition
, vol.41
, pp. 2789-2799
-
-
Song, Y.1
Nie, F.2
Zhang, C.3
Xiang, S.4
-
22
-
-
44649160047
-
-
Semi-Supervised Local Fisher Discriminant Analysis for Dimensionality Reduction, in: PAKDD.
-
M. Sugiyama, T. Ide, S. Nakajima, J. Sese, Semi-Supervised Local Fisher Discriminant Analysis for Dimensionality Reduction, in: PAKDD, 2008, pp. 333-344.
-
(2008)
, pp. 333-344
-
-
Sugiyama, M.1
Ide, T.2
Nakajima, S.3
Sese, J.4
-
23
-
-
34249086815
-
Dimensionality reduction of multimodal labeled data by local fisher discriminant analysis
-
Sugiyama M. Dimensionality reduction of multimodal labeled data by local fisher discriminant analysis. JMLR 2007, 8:1027-1061.
-
(2007)
JMLR
, vol.8
, pp. 1027-1061
-
-
Sugiyama, M.1
-
24
-
-
44649106875
-
Tensor rank one discriminant analysis
-
Tao D., Li X., Wu X., Maybank S. Tensor rank one discriminant analysis. Neurocomputing 2008, 71:1866-1882.
-
(2008)
Neurocomputing
, vol.71
, pp. 1866-1882
-
-
Tao, D.1
Li, X.2
Wu, X.3
Maybank, S.4
-
25
-
-
62249116488
-
Geometric mean for subspace selection
-
Tao D., Li X., Wu X., Maybank S. Geometric mean for subspace selection. PAMI 2009, 260-274.
-
(2009)
PAMI
, pp. 260-274
-
-
Tao, D.1
Li, X.2
Wu, X.3
Maybank, S.4
-
26
-
-
84864062501
-
-
Large margin component analysis, in: NIPS.
-
L. Torresani, K.C. Lee, Large margin component analysis, in: NIPS, vol. 19, 2007, pp. 1385-1392.
-
(2007)
, vol.19
, pp. 1385-1392
-
-
Torresani, L.1
Lee, K.C.2
-
27
-
-
33749257955
-
-
Distance metric learning for large margin nearest neighbor classification, in: NIPS.
-
K. Weinberger, J. Blitzer, L. Saul, Distance metric learning for large margin nearest neighbor classification, in: NIPS, vol. 18, 2006, pp. 1473-1480.
-
(2006)
, vol.18
, pp. 1473-1480
-
-
Weinberger, K.1
Blitzer, J.2
Saul, L.3
-
28
-
-
77952507826
-
-
Optimal Reverse Prediction, in: ICML.
-
L. Xu, M. White, D. Schuurmans, Optimal Reverse Prediction, in: ICML, 2009.
-
(2009)
-
-
Xu, L.1
White, M.2
Schuurmans, D.3
-
29
-
-
33947194180
-
Graph embedding and extensions: a general framework for dimensionality reduction
-
Yan S., Xu D., Zhang B., Zhang H.-J., Yang Q., Lin S. Graph embedding and extensions: a general framework for dimensionality reduction. PAMI 2007, 29(1):40-51.
-
(2007)
PAMI
, vol.29
, Issue.1
, pp. 40-51
-
-
Yan, S.1
Xu, D.2
Zhang, B.3
Zhang, H.-J.4
Yang, Q.5
Lin, S.6
-
30
-
-
77952537808
-
-
An efficient algorithm for local distance metric learning, in: AAAI.
-
L. Yang, R. Jin, R. Sukthankar, Y. Liu, An efficient algorithm for local distance metric learning, in: AAAI, 2006.
-
(2006)
-
-
Yang, L.1
Jin, R.2
Sukthankar, R.3
Liu, Y.4
-
31
-
-
34250705299
-
-
Semi-supervised nonlinear dimensionality reduction. In: ICML.
-
X. Yang, H. Fu, H. Zha, J. Barlow, Semi-supervised nonlinear dimensionality reduction. In: ICML, 2006, pp. 1065-1072.
-
(2006)
, pp. 1065-1072
-
-
Yang, X.1
Fu, H.2
Zha, H.3
Barlow, J.4
-
32
-
-
33644783522
-
-
Self-tuning spectral clustering, in: NIPS.
-
L. Zelnik-Manor, P. Perona, Self-tuning spectral clustering, in: NIPS, vol. 17, 2004, pp. 1601-1608.
-
(2004)
, vol.17
, pp. 1601-1608
-
-
Zelnik-Manor, L.1
Perona, P.2
-
33
-
-
57749197763
-
-
Semi-supervised dimensionality reduction, in: The 7th SIAM International Conference on Data Mining.
-
D. Zhang, Z. Zhou, S. Chen, Semi-supervised dimensionality reduction, in: The 7th SIAM International Conference on Data Mining, 2007, pp. 11-393.
-
(2007)
, pp. 11-393
-
-
Zhang, D.1
Zhou, Z.2
Chen, S.3
-
34
-
-
77952516861
-
-
Optimal dimensionality of metric space for classification, in: ICML.
-
W. Zhang, X. Xue, Z. Sun, Y.-F. Guo, H. Lu, Optimal dimensionality of metric space for classification, in: ICML, 2007.
-
(2007)
-
-
Zhang, W.1
Xue, X.2
Sun, Z.3
Guo, Y.F.4
Lu, H.5
|