-
2
-
-
0042378381
-
Laplacian eigenmaps for dimensionality reduction and data representation
-
M. Belkin and P. Niyogi. Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation, 15(6):1373-1396, 2003.
-
(2003)
Neural Computation
, vol.15
, Issue.6
, pp. 1373-1396
-
-
Belkin, M.1
Niyogi, P.2
-
3
-
-
0030056823
-
Image representation for visual learning
-
D. Beymer and T. Poggio. Image representation for visual learning. Science, 272:1905-1909, 1996.
-
(1996)
Science
, vol.272
, pp. 1905-1909
-
-
Beymer, D.1
Poggio, T.2
-
7
-
-
0037948870
-
Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data
-
D. Donoho and C. Grimes. Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data. Proceedings of the National Academy of Science, 100:5591-5596, 2003.
-
(2003)
Proceedings of the National Academy of Science
, vol.100
, pp. 5591-5596
-
-
Donoho, D.1
Grimes, C.2
-
8
-
-
0015011520
-
An algorithm for finding intrinsic dimensionality of data
-
K. Fukunaga and D. Olsen. An algorithm for finding intrinsic dimensionality of data. IEEE Transactions on Computers, 20(2):176-183, 1971.
-
(1971)
IEEE Transactions on Computers
, vol.20
, Issue.2
, pp. 176-183
-
-
Fukunaga, K.1
Olsen, D.2
-
12
-
-
85156237082
-
Intrinsic dimension estimation using packing numbers
-
MIT Press
-
B. Kegl. Intrinsic dimension estimation using packing numbers. In Advances in Neural Information Processing Systems, volume 15. MIT Press, 2002.
-
(2002)
Advances in Neural Information Processing Systems
, vol.15
-
-
Kegl, B.1
-
14
-
-
0032403540
-
Image manifolds
-
H. Lu, Y. Fainman, and R. Hecht-Nielsen. Image manifolds. In Applications of Artificial Neural Networks in Image Processing III, Proceedings of SPIE, volume 3307, pages 52-63, 1998.
-
(1998)
Applications of Artificial Neural Networks in Image Processing III, Proceedings of SPIE
, vol.3307
, pp. 52-63
-
-
Lu, H.1
Fainman, Y.2
Hecht-Nielsen, R.3
-
15
-
-
0018295624
-
An intrinsic dimensionality estimator from near-neighbor information
-
K. Pettis, T. Bailey, A. Jain, and R. Dubes. An intrinsic dimensionality estimator from near-neighbor information. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1:25-37, 1979.
-
(1979)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.1
, pp. 25-37
-
-
Pettis, K.1
Bailey, T.2
Jain, A.3
Dubes, R.4
-
18
-
-
84858569218
-
-
S. Roweis. http://www.cs.toronto.edu/~roweis/data.html.
-
-
-
Roweis, S.1
-
19
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
S. Roweis and L. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290(5500):2323-2326, 2000.
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2323-2326
-
-
Roweis, S.1
Saul, L.2
-
20
-
-
2342517502
-
Think globally, fit locally: Unsupervised learning of low dimensional manifolds
-
L. Saul and S. Roweis. Think globally, fit locally: Unsupervised learning of low dimensional manifolds. Journal of Machine Learning Research, 4(2):119-155, 2003.
-
(2003)
Journal of Machine Learning Research
, vol.4
, Issue.2
, pp. 119-155
-
-
Saul, L.1
Roweis, S.2
-
21
-
-
0347243182
-
Nonlinear component analysis and a kernel eigenvalue problem
-
B. Scholkopf, A. Smola, and K.-R. Muller. Nonlinear component analysis and a kernel eigenvalue problem. Neural Computation, 10:1299-1319, 1998.
-
(1998)
Neural Computation
, vol.10
, pp. 1299-1319
-
-
Scholkopf, B.1
Smola, A.2
Muller, K.-R.3
-
22
-
-
0034704189
-
The manifold ways of perception
-
H. Seung and D. Lee. The manifold ways of perception. Science, 290:2268-2269, 2000.
-
(2000)
Science
, vol.290
, pp. 2268-2269
-
-
Seung, H.1
Lee, D.2
-
23
-
-
0003401675
-
A tutorial on support vector regression
-
NeuroCOLT2
-
A. Smola and B. Scholkopf. A tutorial on support vector regression. Technical Report NC2-TR-1998-030, NeuroCOLT2, 1998.
-
(1998)
Technical Report
, vol.NC2-TR-1998-030
-
-
Smola, A.1
Scholkopf, B.2
-
24
-
-
0034704229
-
A global geometric framework for onlinear dimensionality reduction
-
J. Tenenbaum, V. de Silva, and J. Langford. A global geometric framework for onlinear dimensionality reduction. Science, 290(5500):2319-2323, 2000.
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2319-2323
-
-
Tenenbaum, J.1
De Silva, V.2
Langford, J.3
-
27
-
-
84858568862
-
-
K. Weinberger. http://www.seas.upenn.edu/~kilianw/sde/datasets.htm.
-
-
-
Weinberger, K.1
|