-
1
-
-
0042378381
-
Laplacian eigenmaps for dimensionality reduction and data representation
-
Jun.
-
N. Belkin and P. Niyogi, "Laplacian eigenmaps for dimensionality reduction and data representation," Neural Comput., vol. 15, no. 6, pp. 1373-1396, Jun. 2003.
-
(2003)
Neural Comput.
, vol.15
, Issue.6
, pp. 1373-1396
-
-
Belkin, N.1
Niyogi, P.2
-
2
-
-
3142725535
-
Semi-supervised learning on Riemannian manifolds
-
Jul.
-
N. Belkin and P. Niyogi, "Semi-supervised learning on Riemannian manifolds," Mach. Learn., vol. 56, no. 1-3, pp. 209-239, Jul. 2004.
-
(2004)
Mach. Learn.
, vol.56
, Issue.1-3
, pp. 209-239
-
-
Belkin, N.1
Niyogi, P.2
-
3
-
-
63149135414
-
Error bounds of multi-graph regularized semi-supervised classification
-
May
-
H. Chen, L. Q. Li, and J. T. Peng, "Error bounds of multi-graph regularized semi-supervised classification," Inf. Sci., vol. 179, no. 12, pp. 1960-1969, May 2009.
-
(2009)
Inf. Sci.
, vol.179
, Issue.12
, pp. 1960-1969
-
-
Chen, H.1
Li, L.Q.2
Peng, J.T.3
-
4
-
-
72949091678
-
Deterministic column-based matrix decomposition
-
Jan.
-
X. Li and Y. Pang, "Deterministic column-based matrix decomposition," IEEE Trans. Knowl. Data Eng., vol. 22, no. 1, pp. 145-149, Jan. 2010.
-
(2010)
IEEE Trans. Knowl. Data Eng.
, vol.22
, Issue.1
, pp. 145-149
-
-
Li, X.1
Pang, Y.2
-
5
-
-
67249096976
-
Binary sparse nonnegative matrix factorization
-
May
-
Y. Yuan, X. Li, Y. Pang, X. Lu, and D. Tao, "Binary sparse nonnegative matrix factorization," IEEE Trans. Circuits Syst. Video Technol., vol. 19, no. 5, pp. 772-777, May 2009.
-
(2009)
IEEE Trans. Circuits Syst. Video Technol.
, vol.19
, Issue.5
, pp. 772-777
-
-
Yuan, Y.1
Li, X.2
Pang, Y.3
Lu, X.4
Tao, D.5
-
7
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
Dec.
-
S. Roweis and L. Saul, "Nonlinear dimensionality reduction by locally linear embedding," Science, vol. 290, no. 5500, pp. 2323-2326, Dec. 2000.
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2323-2326
-
-
Roweis, S.1
Saul, L.2
-
8
-
-
0034704229
-
A global geometric framework for nonlinear dimensionality reduction
-
Dec.
-
J. B. Tenenbaum, V. de Silva, and J. C. Langford, "A global geometric framework for nonlinear dimensionality reduction," Science, vol. 290, no. 5500, pp. 2319-2323, Dec. 2000.
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2319-2323
-
-
Tenenbaum, J.B.1
De Silva, V.2
Langford, J.C.3
-
9
-
-
41649120173
-
Discriminant locally linear embedding with high-order tensor data
-
Apr.
-
X. Li, S. Lin, S. Yan, and D. Xu, "Discriminant locally linear embedding with high-order tensor data," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 38, no. 2, pp. 342-352, Apr. 2008.
-
(2008)
IEEE Trans. Syst., Man, Cybern. B, Cybern.
, vol.38
, Issue.2
, pp. 342-352
-
-
Li, X.1
Lin, S.2
Yan, S.3
Xu, D.4
-
10
-
-
62249116488
-
Geometry mean for subspace selection
-
Feb.
-
D. Tao, X. Li, X. Wu, and S. Maybank, "Geometry mean for subspace selection," IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 2, pp. 260-274, Feb. 2009.
-
(2009)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.31
, Issue.2
, pp. 260-274
-
-
Tao, D.1
Li, X.2
Wu, X.3
Maybank, S.4
-
12
-
-
15044358511
-
Face recognition using Laplacianfaces
-
Mar.
-
X. He, S. Yan, Y. Hu, P. Niyogi, and H.-J. Zhang, "Face recognition using Laplacianfaces," IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 3, pp. 328-340, Mar. 2005.
-
(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.-J.5
-
13
-
-
0031187873
-
A Bayesian information theoretic model of learning to learn via multiple task sampling
-
Jul.
-
J. Baxter, "A Bayesian information theoretic model of learning to learn via multiple task sampling," Mach. Learn., vol. 28, no. 1, pp. 7-39, Jul. 1997.
-
(1997)
Mach. Learn.
, vol.28
, Issue.1
, pp. 7-39
-
-
Baxter, J.1
-
14
-
-
14344277592
-
A model for inductive bias learning
-
J. Baxter, "A model for inductive bias learning," J. Artif. Intell. Res., vol. 12, pp. 149-198, 2000.
-
(2000)
J. Artif. Intell. Res.
, vol.12
, pp. 149-198
-
-
Baxter, J.1
-
15
-
-
0346238931
-
Task clustering and gating for Bayesian multitask learning
-
Dec.
-
B. Bakker and T. Heskes, "Task clustering and gating for Bayesian multitask learning," J. Mach. Learn. Res., vol. 4, pp. 83-99, Dec. 2003.
-
(2003)
J. Mach. Learn. Res.
, vol.4
, pp. 83-99
-
-
Bakker, B.1
Heskes, T.2
-
16
-
-
9444270330
-
Exploiting task relatedness for multiple task learning
-
S. Ben-David and R. Schuller, "Exploiting task relatedness for multiple task learning," in Proc. Comput. Learn. Theory, 2003, vol. 2777, pp. 567-580.
-
(2003)
Proc. Comput. Learn. Theory
, vol.2777
, pp. 567-580
-
-
Ben-David, S.1
Schuller, R.2
-
17
-
-
57049126274
-
Two criteria for model selection in multiclass support vector machines
-
Dec.
-
L. Wang, P. Xue, and K.-L. Chan, "Two criteria for model selection in multiclass support vector machines," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 38, no. 6, pp. 1432-1448, Dec. 2008.
-
(2008)
IEEE Trans. Syst., Man, Cybern. B, Cybern.
, vol.38
, Issue.6
, pp. 1432-1448
-
-
Wang, L.1
Xue, P.2
Chan, K.-L.3
-
18
-
-
0036603236
-
Recognizing imprecisely localized, partially occluded and expression variant faces from a single sample per class
-
Jun.
-
A. M. Martinez, "Recognizing imprecisely localized, partially occluded and expression variant faces from a single sample per class," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 6, pp. 748-763, Jun. 2002.
-
(2002)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.24
, Issue.6
, pp. 748-763
-
-
Martinez, A.M.1
-
19
-
-
24644436425
-
Learning a similarity metric dis-criminatively, with application to face verification
-
S. Chopra, R. Hadsell, and Y. LeCun, "Learning a similarity metric dis-criminatively, with application to face verification," in Proc. CVPR, 2005, pp. 539-546.
-
(2005)
Proc. CVPR
, pp. 539-546
-
-
Chopra, S.1
Hadsell, R.2
Lecun, Y.3
-
21
-
-
46249102675
-
Learning similarity with operator-valued large-margin classifiers
-
Jun.
-
A. Maurer, "Learning similarity with operator-valued large-margin classifiers," J. Mach. Learn. Res., vol. 9, pp. 1049-1082, Jun. 2008.
-
(2008)
J. Mach. Learn. Res.
, vol.9
, pp. 1049-1082
-
-
Maurer, A.1
-
22
-
-
21844457672
-
Learning a Maha-lanobis metric from equivalence constraints
-
Dec.
-
A. Bar-Hillel, T. Hertz, N. Shental, and D. Weinshall, "Learning a Maha-lanobis metric from equivalence constraints," J. Mach. Learn. Res., vol. 6, pp. 937-965, Dec. 2005.
-
(2005)
J. Mach. Learn. Res.
, vol.6
, pp. 937-965
-
-
Bar-Hillel, A.1
Hertz, T.2
Shental, N.3
Weinshall, D.4
-
23
-
-
49449088902
-
Learning a Mahalanobis distance metric for data clustering and classification
-
Dec.
-
S. M. Xiang, F. P. Nie, and C. Zhang, "Learning a Mahalanobis distance metric for data clustering and classification," Pattern Recognit., vol. 41, no. 12, pp. 3600-3612, Dec. 2008.
-
(2008)
Pattern Recognit.
, vol.41
, Issue.12
, pp. 3600-3612
-
-
Xiang, S.M.1
Nie, F.P.2
Zhang, C.3
-
24
-
-
0347243182
-
Nonlinear component analysis as a kernel eigenvalue problem
-
Jul.
-
B. Schölkopf, A. J. Smola, and K. Müller, "Nonlinear component analysis as a kernel eigenvalue problem," Neural Comput., vol. 10, no. 5, pp. 1219-1299, Jul. 1998.
-
(1998)
Neural Comput.
, vol.10
, Issue.5
, pp. 1219-1299
-
-
Schölkopf, B.1
Smola, A.J.2
Müller, K.3
-
26
-
-
8844278523
-
Learning the kernel matrix with semidefinite programming
-
Dec.
-
G. Lanckriet, N. Cristianini, P. Bartlett, L. El Ghaoui, and M. I. Jordan, "Learning the kernel matrix with semidefinite programming," J. Mach. Learn. Res., vol. 5, pp. 27-72, Dec. 2004.
-
(2004)
J. Mach. Learn. Res.
, vol.5
, pp. 27-72
-
-
Lanckriet, G.1
Cristianini, N.2
Bartlett, P.3
El Ghaoui, L.4
Jordan, M.I.5
-
27
-
-
84864060454
-
Combining graph Laplacians for semi-supervised learning
-
Cambridge, MA
-
A. Argyriou, M. Herbster, and M. Pontil, "Combining graph Laplacians for semi-supervised learning," in Proc. NIPS, Cambridge, MA, 2006, pp. 67-74.
-
(2006)
Proc. NIPS
, pp. 67-74
-
-
Argyriou, A.1
Herbster, M.2
Pontil, M.3
-
28
-
-
33846804061
-
Multi-kernel regularized classifiers
-
Feb.
-
Q. Wu, Y. M. Ying, and D. X. Zhou, "Multi-kernel regularized classifiers," J. Complex., vol. 23, no. 1, pp. 108-134, Feb. 2007.
-
(2007)
J. Complex.
, vol.23
, Issue.1
, pp. 108-134
-
-
Wu, Q.1
Ying, Y.M.2
Zhou, D.X.3
-
29
-
-
33847115868
-
Learnability of Gaussians with flexible variances
-
May
-
Y. M. Ying and D. X. Zhou, "Learnability of Gaussians with flexible variances," J. Mach. Learn. Res., vol. 8, pp. 249-276, May 2007.
-
(2007)
J. Mach. Learn. Res.
, vol.8
, pp. 249-276
-
-
Ying, Y.M.1
Zhou, D.X.2
-
30
-
-
0001963082
-
A short introduction to boosting
-
Y. Freund and R. E. Schapire, "A short introduction to boosting," J. Jpn. Soc. Artif. Intell., vol. 14, no. 5, pp. 771-780, 1999.
-
(1999)
J. Jpn. Soc. Artif. Intell.
, vol.14
, Issue.5
, pp. 771-780
-
-
Freund, Y.1
Schapire, R.E.2
-
31
-
-
0034164230
-
Additive logistic regression: A statistical view of boosting
-
J. Friedman, T. Hastie, and R. Tibshirani, "Additive logistic regression: A statistical view of boosting," Ann. Stat., vol. 28, pp. 337-374, 2000.
-
(2000)
Ann. Stat.
, vol.28
, pp. 337-374
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
32
-
-
0036071370
-
On the mathematical foundations of learning
-
F. Cucker and S. Smale, "On the mathematical foundations of learning," Bull. Amer. Math. Soc., vol. 39, pp. 1-49, 2002.
-
(2002)
Bull. Amer. Math. Soc.
, vol.39
, pp. 1-49
-
-
Cucker, F.1
Smale, S.2
-
35
-
-
23244434257
-
Learning the kernel function via the regularization
-
Dec.
-
C. A. Micchelli and M. Pontil, "Learning the kernel function via the regularization," J. Mach. Learn. Res., vol. 6, pp. 1099-1125, Dec. 2005.
-
(2005)
J. Mach. Learn. Res.
, vol.6
, pp. 1099-1125
-
-
Micchelli, C.A.1
Pontil, M.2
-
36
-
-
57049181420
-
Robust regularized kernel regression
-
Dec.
-
J.-K. Zhu, S. Hoi, and M. R.-T. Lyu, "Robust regularized kernel regression," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 38, no. 6, pp. 1639-1644, Dec. 2008.
-
(2008)
IEEE Trans. Syst., Man, Cybern. B, Cybern.
, vol.38
, Issue.6
, pp. 1639-1644
-
-
Zhu, J.-K.1
Hoi, S.2
Lyu, M.R.-T.3
-
37
-
-
0038453192
-
Rademacher and Gaussian complexities: Risk bounds and structural results
-
Mar.
-
P. L. Bartlett and S. Mendelson, "Rademacher and Gaussian complexities: Risk bounds and structural results," J. Mach. Learn. Res., vol. 3, pp. 463-482, Mar. 2002.
-
(2002)
J. Mach. Learn. Res.
, vol.3
, pp. 463-482
-
-
Bartlett, P.L.1
Mendelson, S.2
-
39
-
-
77954762644
-
L1-norm-based 2DPCA
-
Aug.
-
X. Li, Y. Pang, and Y. Yuan, "L1-norm-based 2DPCA," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 40, no. 4, pp. 1170-1175, Aug. 2010.
-
(2010)
IEEE Trans. Syst., Man, Cybern. B, Cybern.
, vol.40
, Issue.4
, pp. 1170-1175
-
-
Li, X.1
Pang, Y.2
Yuan, Y.3
-
40
-
-
57749180616
-
Sparse projections over graph
-
D. Cai, X. He, and J. Han, "Sparse projections over graph," in Proc. AAAI, 2008, pp. 610-615.
-
(2008)
Proc. AAAI
, pp. 610-615
-
-
Cai, D.1
He, X.2
Han, J.3
|