-
1
-
-
0042378381
-
Laplacian eigenmaps for dimensionality reduction and data representation
-
M. Belkin and P. Niyogi. Laplacian eigenmaps for dimensionality reduction and data representation. Neural Comp., 15(6):1373-1396, 2003.
-
(2003)
Neural Comp
, vol.15
, Issue.6
, pp. 1373-1396
-
-
Belkin, M.1
Niyogi, P.2
-
3
-
-
33749252873
-
-
editors. MIT Press, Cambridge, in press
-
O. Chapelle, B. Schölkopf, and A. Zien, editors. Semi-Supervised Learning. MIT Press, Cambridge, 2006. in press, http://www.kyb.tuebingen.mpg.de/ssl-book.
-
(2006)
Semi-Supervised Learning
-
-
Chapelle, O.1
Schölkopf, B.2
Zien, A.3
-
4
-
-
40749093037
-
Measuring the strangeness of strange attractors
-
P. Grassberger and I. Procaccia. Measuring the strangeness of strange attractors. Physica D, 9:189-208, 1983.
-
(1983)
Physica D
, vol.9
, pp. 189-208
-
-
Grassberger, P.1
Procaccia, I.2
-
5
-
-
33750684023
-
Heat kernels on weighted manifolds and applications
-
A. Grigoryan. Heat kernels on weighted manifolds and applications. Cont. Math., 398:93-191, 2006.
-
(2006)
Cont. Math
, vol.398
, pp. 93-191
-
-
Grigoryan, A.1
-
7
-
-
33749598434
-
From graphs to manifolds - weak and strong pointwise consistency of graph Laplacians
-
P. Auer and R. Meir, editors, pages Berlin, Springer
-
M. Hein, J.-Y. Audibert, and U. von Luxburg. From graphs to manifolds - weak and strong pointwise consistency of graph Laplacians. In P. Auer and R. Meir, editors, Proc. of the 18th Conf. on Learning Theory (COLT), pages 486-500, Berlin, 2005. Springer.
-
(2005)
Proc. of the 18th Conf. on Learning Theory (COLT)
, pp. 486-500
-
-
Hein, M.1
Audibert, J.-Y.2
von Luxburg, U.3
-
9
-
-
33746050192
-
-
PhD thesis, MPI für biologische Kybernetik/Technische Universität Darmstadt
-
M. Hein. Geometrical aspects of statistical learning theory. PhD thesis, MPI für biologische Kybernetik/Technische Universität Darmstadt, 2005.
-
(2005)
Geometrical aspects of statistical learning theory
-
-
Hein, M.1
-
10
-
-
0742286176
-
Adaptation in statistical pattern recognition using tangent vectors
-
D. Keysers, W. Macherey, H. Ney, and J. Dahmen. Adaptation in statistical pattern recognition using tangent vectors. IEEE Trans. on Pattern Anal. and Machine Intel., 26:269-274, 2004.
-
(2004)
IEEE Trans. on Pattern Anal. and Machine Intel
, vol.26
, pp. 269-274
-
-
Keysers, D.1
Macherey, W.2
Ney, H.3
Dahmen, J.4
-
14
-
-
0034704229
-
A global geometric framework for nonlinear dimensionality reduction
-
J. B. Tenenbaum, V. de Silva, and J. C. Langford. A global geometric framework for nonlinear dimensionality reduction. Science, 290(5500):2319-2323, 2000.
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2319-2323
-
-
Tenenbaum, J. B.1
de Silva, V.2
Langford, J. C.3
-
15
-
-
84899006908
-
Learning with local and global consistency
-
S. Thrun, L. Saul, and B. Schölkopf, editors, MIT Press
-
D. Zhou, O. Bousquet, T. N. Lal, J. Weston, and B. Schölkopf. Learning with local and global consistency. In S. Thrun, L. Saul, and B. Schölkopf, editors, Adv. in Neur. Inf. Proc. Syst. (NIPS), volume 16. MIT Press, 2004.
-
(2004)
Adv. in Neur. Inf. Proc. Syst. (NIPS)
, vol.16
-
-
Zhou, D.1
Bousquet, O.2
Lal, T. N.3
Weston, J.4
Schölkopf, B.5
|