-
1
-
-
0034704222
-
Nonlinear Dimensionality Reduction by Locally Linear Embedding
-
S.T. Roweis, L.K. Saul, "Nonlinear Dimensionality Reduction by Locally Linear Embedding," Science, vol. 290, pp. 2323-2326, 2000.
-
(2000)
Science
, vol.290
, pp. 2323-2326
-
-
Roweis, S.T.1
Saul, L.K.2
-
2
-
-
0037016775
-
The Isomap Algorithm and Topological Stability
-
M. Balasubramanian, E.L. Schwartz, J.B. Tenenbaum, V. de Silva, J.C. Langford, "The Isomap Algorithm and Topological Stability," Science, vol. 295, pp. 7, 2002.
-
(2002)
Science
, vol.295
, pp. 7
-
-
Balasubramanian, M.1
Schwartz, E.L.2
Tenenbaum, J.B.3
de Silva, V.4
Langford, J.C.5
-
3
-
-
0042378381
-
Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
-
M. Belkin, P. Niyogi, "Laplacian Eigenmaps for Dimensionality Reduction and Data Representation," Neural Computation, vol. 15, no.6, pp. 1373-1396, 2003.
-
(2003)
Neural Computation
, vol.15
, Issue.6
, pp. 1373-1396
-
-
Belkin, M.1
Niyogi, P.2
-
4
-
-
15044358511
-
Face Recognition Using Laplacianfaces
-
X. He, S. Yan, Y. Hu, P. Niyogi, H. Zhang, "Face Recognition Using Laplacianfaces," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 27, no. 3, pp. 328-340, 2005.
-
(2005)
IEEE Trans. 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.5
-
5
-
-
2342517502
-
Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifolds
-
L.K. Saul, S.T. Roweis, "Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifolds," Journal of Machine Learning Research, v4, pp. 119-155, 2003.
-
(2003)
Journal of Machine Learning Research
, vol.4
, pp. 119-155
-
-
Saul, L.K.1
Roweis, S.T.2
-
6
-
-
31544473466
-
Incremental Nonlinear Dimensionality Reduction by Manifold Learning
-
M. Law, A.K. Jain, "Incremental Nonlinear Dimensionality Reduction by Manifold Learning," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 28, no. 3, pp. 377-391, 2006.
-
(2006)
IEEE Trans. Pattern Analysis and Machine Intelligence
, vol.28
, Issue.3
, pp. 377-391
-
-
Law, M.1
Jain, A.K.2
-
7
-
-
5044232102
-
Local Smoothing for Manifold Learning
-
J. Park, Z. Zhang, H. Zha, R. Kasturi, "Local Smoothing for Manifold Learning," CVPR '04, vol.2, pp. 452-459, 2004.
-
(2004)
CVPR '04
, vol.2
, pp. 452-459
-
-
Park, J.1
Zhang, Z.2
Zha, H.3
Kasturi, R.4
-
8
-
-
33745435450
-
Kernel Isomap on Noisy Manifold
-
H. Choi, S. Choi, "Kernel Isomap on Noisy Manifold," The 4th ICDL, pp. 208-213, 2005.
-
(2005)
The 4th ICDL
, pp. 208-213
-
-
Choi, H.1
Choi, S.2
-
9
-
-
14544307975
-
Principal Manifolds and Nonlinear Dimension Reduction via Local Tangent Space Alignment
-
Z. Zhang, H. Zha, "Principal Manifolds and Nonlinear Dimension Reduction via Local Tangent Space Alignment," SIAM J. Scientific Computing, vol. 26, no. 1, pp. 313-338, 2005.
-
(2005)
SIAM J. Scientific Computing
, vol.26
, Issue.1
, pp. 313-338
-
-
Zhang, Z.1
Zha, H.2
-
10
-
-
1542786170
-
The Local Piecewisely Linear Kernel Smoothing Procedure for Fitting Jump Regression Surfaces
-
P. Qiu, "The Local Piecewisely Linear Kernel Smoothing Procedure for Fitting Jump Regression Surfaces," Technometrics, vol. 46, pp. 8798, 2004.
-
(2004)
Technometrics
, vol.46
, pp. 8798
-
-
Qiu, P.1
-
11
-
-
33644973537
-
Robust Locally Linear Embedding
-
H. Chang, D.Y. Yeung, "Robust Locally Linear Embedding," Pattern Recognition, vol. 39, no. 6, pp. 1053-1065, 2006.
-
(2006)
Pattern Recognition
, vol.39
, Issue.6
, pp. 1053-1065
-
-
Chang, H.1
Yeung, D.Y.2
-
13
-
-
84864031835
-
Manifold Denoising
-
Cambridge, MA
-
M. Hein, M. Maier, "Manifold Denoising," Advances in NIPS 20, 8, Cambridge, MA, 2006.
-
(2006)
Advances in NIPS 20
, vol.8
-
-
Hein, M.1
Maier, M.2
-
15
-
-
27244459414
-
A Better Scaled Local Tangent Space Alignment Algorithm
-
in Chinese
-
J. Yang, F.X. Li, J. Wang, "A Better Scaled Local Tangent Space Alignment Algorithm," Journal of Software, vol. 16, no. 9, pp. 1584-1590, 2005. (in Chinese)
-
(2005)
Journal of Software
, vol.16
, Issue.9
, pp. 1584-1590
-
-
Yang, J.1
Li, F.X.2
Wang, J.3
|