-
1
-
-
85040139316
-
-
John Wiley, New York, 5th edition
-
T. M. Lillesand, R. W. Kiefer, and J. W. Chipman, Remote Sensing and Image Interpretation, John Wiley, New York, 5th edition, 2004.
-
(2004)
Remote Sensing and Image Interpretation
-
-
Lillesand, T.M.1
Kiefer, R.W.2
Chipman, J.W.3
-
2
-
-
33749252873
-
-
MIT Press, Cambridge, MA, USA
-
O. Chapelle, B. Schölkopf, and A. Zien, Eds., Semi-Supervised Learning, MIT Press, Cambridge, MA, USA, 2006.
-
(2006)
Semi-Supervised Learning
-
-
Chapelle, O.1
Schölkopf, B.2
Zien, A.3
-
5
-
-
84899006908
-
Learning with local and global consistency
-
MIT Press
-
D. Zhou, O. Bousquet, T. N. Lal, J. Weston, and B. Schölkopf, "Learning with local and global consistency," in Advances in Neural Information Processing Systems (NIPS), Vancouver, Canada, Dec 2004, vol. 16, MIT Press.
-
Advances in Neural Information Processing Systems (NIPS), Vancouver, Canada, Dec 2004
, vol.16
-
-
Zhou, D.1
Bousquet, O.2
Lal, T.N.3
Weston, J.4
Schölkopf, B.5
-
6
-
-
39049145967
-
Semi-supervised graph-based hyperspectral image classification
-
G. Camps-Valls, T. Bandos, and D. Zhou, "Semi-supervised graph-based hyperspectral image classification," IEEE Trans. Geosc. Rem. Sens., vol. 45, no. 10, pp. 2044-3054, 2007.
-
(2007)
IEEE Trans. Geosc. Rem. Sens.
, vol.45
, Issue.10
, pp. 2044-3054
-
-
Camps-Valls, G.1
Bandos, T.2
Zhou, D.3
-
7
-
-
31844440904
-
Beyond the point cloud: From transductive to semi-supervised learning
-
ACM Press
-
V. Sindhwani, P. Niyogi, and M. Belkin, "Beyond the point cloud: from transductive to semi-supervised learning," in Proceedings of the International Conference on Machine Learning (ICML), New York, USA, 2005, pp. 824-831, ACM Press.
-
Proceedings of the International Conference on Machine Learning (ICML), New York, USA, 2005
, pp. 824-831
-
-
Sindhwani, V.1
Niyogi, P.2
Belkin, M.3
-
8
-
-
47849095828
-
Semi-supervised image classification with Laplacian support vector machines
-
July
-
L. Gómez-Chova, G. Camps-Valls, J. Muñoz-Marí, and J. Calpe-Maravilla, "Semi-supervised image classification with Laplacian support vector machines," IEEE Geosc. Rem. Sens. Lett., vol. 5, no. 3, pp. 336-340, July 2008.
-
(2008)
IEEE Geosc. Rem. Sens. Lett.
, vol.5
, Issue.3
, pp. 336-340
-
-
Gómez-Chova, L.1
Camps-Valls, G.2
Muñoz-Marí, J.3
Calpe-Maravilla, J.4
-
9
-
-
50649084677
-
Cluster kernels for semi-supervised learning
-
S. Becker, S. Thrun, and K. Obermayer, Eds., Cambridge, MA, USA
-
O. Chapelle, J. Weston, and B. Schölkopf, "Cluster kernels for semi-supervised learning," in Advances in Neural Information Processing Systems (NIPS), S. Becker, S. Thrun, and K. Obermayer, Eds., Cambridge, MA, USA, 2003, vol. 15, pp. 585-592.
-
(2003)
Advances in Neural Information Processing Systems (NIPS)
, vol.15
, pp. 585-592
-
-
Chapelle, O.1
Weston, J.2
Schölkopf, B.3
-
10
-
-
56449119888
-
Deep learning via semi-supervised embedding
-
J. Weston, F. Ratle, and R. Collobert, "Deep learning via semi-supervised embedding," in Proceedings of the International Conference on Machine Learning (ICML), Helsinki, Finland, 2008, pp. 1168-1175.
-
Proceedings of the International Conference on Machine Learning (ICML), Helsinki, Finland, 2008
, pp. 1168-1175
-
-
Weston, J.1
Ratle, F.2
Collobert, R.3
-
11
-
-
84898958346
-
Semi-supervised support vector machines
-
K. Bennet and A. Demiriz, "Semi-supervised support vector machines," in Advances in Neural Information Processing Systems (NIPS), Cambridge, MA, USA, Dec 1998.
-
Advances in Neural Information Processing Systems (NIPS), Cambridge, MA, USA, Dec 1998
-
-
Bennet, K.1
Demiriz, A.2
-
18
-
-
84898974832
-
Kernel logistic regression and the import vector machine
-
MIT Press
-
J. Zhu and T. Hastie, "Kernel logistic regression and the import vector machine," in Advances in Neural Information Processing Systems (NIPS), Vancouver, Canada, Dec 2002, vol. 12, MIT Press.
-
Advances in Neural Information Processing Systems (NIPS), Vancouver, Canada, Dec 2002
, vol.12
-
-
Zhu, J.1
Hastie, T.2
-
19
-
-
0142192295
-
Conditional random fields: Probabilistic models for segmenting and labeling sequence data
-
J. Lafferty, A. McCallum, and F. Pereira, "Conditional random fields: probabilistic models for segmenting and labeling sequence data," in Proceedings of the International Conference on Machine Learning (ICML), 2001, pp. 282-289.
-
Proceedings of the International Conference on Machine Learning (ICML), 2001
, pp. 282-289
-
-
Lafferty, J.1
McCallum, A.2
Pereira, F.3
-
22
-
-
0011789931
-
-
Tech. Rep. ANL/MCS-TM-242
-
S. Benson, L. C. McInnes, J. Moré, T. Munson, and J. Sarich, "TAO user manual (revision 1.9)," Tech. Rep. ANL/MCS-TM-242, Mathematics and Computer Science Division, Argonne National Laboratory, 2007, http://www.mcs.anl.gov/tao.
-
(2007)
TAO User Manual (Revision 1.9)
-
-
Benson, S.1
McInnes, L.C.2
Moré, J.3
Munson, T.4
Sarich, J.5
-
23
-
-
30344462676
-
Urban monitoring using multitemporal SAR and multispectral data
-
Mar
-
L. Gómez-Chova, D. Fernández-Prieto, J. Calpe, E. Soria, J. Vila-Francés, and G. Camps-Valls, "Urban monitoring using multitemporal SAR and multispectral data," Patt. Rec. Lett., vol. 27, no. 4, pp. 234-243, Mar 2006.
-
(2006)
Patt. Rec. Lett.
, vol.27
, Issue.4
, pp. 234-243
-
-
Gómez-Chova, L.1
Fernández-Prieto, D.2
Calpe, J.3
Soria, E.4
Vila-Francés, J.5
Camps-Valls, G.6
|