-
1
-
-
0004094721
-
-
Cambridge, MA, USA: MIT Press
-
B. Schölkopf and A. J. Smola, Learning With Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning). Cambridge, MA, USA: MIT Press, 2002.
-
(2002)
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and beyond (Adaptive Computation and Machine Learning)
-
-
Schölkopf, B.1
Smola, A.J.2
-
2
-
-
31144448472
-
Composite kernels for hyperspectral image classification
-
Jan.
-
G. Camps-Valls, L. Gomez-Chova, J. Munoz-Mari, J. Vila-Frances, and J. Calpe-Maravilla, "Composite kernels for hyperspectral image classification, " IEEE Geosci. Remote Sens. Lett., vol. 3, no. 1, pp. 93-97, Jan. 2006.
-
(2006)
IEEE Geosci. Remote Sens. Lett.
, vol.3
, Issue.1
, pp. 93-97
-
-
Camps-Valls, G.1
Gomez-Chova, L.2
Munoz-Mari, J.3
Vila-Frances, J.4
Calpe-Maravilla, J.5
-
3
-
-
84879991207
-
Contextual SVM using Hilbert space embedding for hyperspectral classification
-
Sep.
-
P. Gurram and H. Kwon, "Contextual SVM using Hilbert space embedding for hyperspectral classification, " IEEE Geosci. Remote Sens. Lett., vol. 10, no. 5, pp. 1031-1035, Sep. 2013.
-
(2013)
IEEE Geosci. Remote Sens. Lett.
, vol.10
, Issue.5
, pp. 1031-1035
-
-
Gurram, P.1
Kwon, H.2
-
4
-
-
79951950272
-
Support vector machines in remote sensing: A review
-
G. Mountrakis, J. Im, and C. Ogole, "Support vector machines in remote sensing: A review, " ISPRS J. Photogramm. Remote Sens., vol. 66, no. 3, pp. 247-259, 2011.
-
(2011)
ISPRS J. Photogramm. Remote Sens.
, vol.66
, Issue.3
, pp. 247-259
-
-
Mountrakis, G.1
Im, J.2
Ogole, C.3
-
7
-
-
84963818881
-
Examining region-based methods for land cover classification using stochastic distances
-
R. G. Negri, L. V. Dutra, S. J. S. Sant'Anna, and D. Lu, "Examining region-based methods for land cover classification using stochastic distances, " Int. J. Remote Sens., vol. 37, no. 8, pp. 1902-1921, 2016.
-
(2016)
Int. J. Remote Sens.
, vol.37
, Issue.8
, pp. 1902-1921
-
-
Negri, R.G.1
Dutra, L.V.2
Sant'Anna, S.J.S.3
Lu, D.4
-
8
-
-
84891583374
-
-
New York, NY, USA: Wiley
-
L. Castañeda, V. Arunachalam, and S. Dharmaraja, Introduction to Probability and Stochastic Processes With Applications. New York, NY, USA: Wiley, 2012.
-
(2012)
Introduction to Probability and Stochastic Processes with Applications
-
-
Castañeda, L.1
Arunachalam, V.2
Dharmaraja, S.3
-
10
-
-
33646751287
-
A context-sensitive technique based on support vector machines for image classification
-
Berlin, Germany: Springer
-
F. Bovolo and L. Bruzzone, "A context-sensitive technique based on support vector machines for image classification, " in Pattern Recognition and Machine Intelligence (Lecture Notes in Computer Science), vol. 3776. Berlin, Germany: Springer, 2005, pp. 260-265.
-
(2005)
Pattern Recognition and Machine Intelligence (Lecture Notes in Computer Science)
, vol.3776
, pp. 260-265
-
-
Bovolo, F.1
Bruzzone, L.2
-
12
-
-
84983533492
-
-
Dept. Comput. Sci., Nat. Taiwan Univ., Taipei, Taiwan, Res. Paper
-
C.-W. Hsu, C.-C. Chang, and C.-J. Lin, "A practical guide to support vector classification, " Dept. Comput. Sci., Nat. Taiwan Univ., Taipei, Taiwan, Res. Paper, 2016. [Online]. Available: http://www. mdpi.com/2072-4292/8/2/157
-
(2016)
A Practical Guide to Support Vector Classification
-
-
Hsu, C.-W.1
Chang, C.-C.2
Lin, C.-J.3
-
13
-
-
84962528662
-
The Fisher kernel coding framework for high spatial resolution scene classification
-
B. Zhao, Y. Zhong, L. Zhang, and B. Huang, "The Fisher kernel coding framework for high spatial resolution scene classification, " Remote Sens., vol. 8, no. 2, pp. 157-177, 2016. [Online]. Available: http://www. mdpi.com/2072-4292/8/2/157
-
(2016)
Remote Sens.
, vol.8
, Issue.2
, pp. 157-177
-
-
Zhao, B.1
Zhong, Y.2
Zhang, L.3
Huang, B.4
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