-
1
-
-
78049256476
-
Adaptive classification for hyperspectral image data using manifold regularization kernel machines
-
[1] Kim, W., Crawford, M.M., Adaptive classification for hyperspectral image data using manifold regularization kernel machines. IEEE Trans. Geosci. Remote Sens. 48:11 (2010), 4110–4121.
-
(2010)
IEEE Trans. Geosci. Remote Sens.
, vol.48
, Issue.11
, pp. 4110-4121
-
-
Kim, W.1
Crawford, M.M.2
-
2
-
-
47849095828
-
Semisupervised image classification with Laplacian support vector machines
-
[2] Gόmez-Chova, L., Camps-Valls, G., Muñoz-Marί, J., Calpe, J., Semisupervised image classification with Laplacian support vector machines. IEEE Geosci. Remote Sens. Lett. 5:3 (2008), 336–340.
-
(2008)
IEEE Geosci. Remote Sens. Lett.
, vol.5
, Issue.3
, pp. 336-340
-
-
Gόmez-Chova, L.1
Camps-Valls, G.2
Muñoz-Marί, J.3
Calpe, J.4
-
3
-
-
33750819329
-
A novel transductive SVM for semi-supervised classification of remote-sensing images
-
[3] Bruzzone, L., Chi, M., Marconcini, M., A novel transductive SVM for semi-supervised classification of remote-sensing images. IEEE Trans. Geosci. Remote Sens. 44:11 (2006), 3363–3373.
-
(2006)
IEEE Trans. Geosci. Remote Sens.
, vol.44
, Issue.11
, pp. 3363-3373
-
-
Bruzzone, L.1
Chi, M.2
Marconcini, M.3
-
4
-
-
85027923554
-
Semi-supervised discriminant analysis for hyperspectral imagery with block-sparse graph
-
[4] Tan, K., S.Zhou, Q. Du, Semi-supervised discriminant analysis for hyperspectral imagery with block-sparse graph. IEEE Geosci. Remote Sens. Lett. 12:8 (2015), 1765–1769.
-
(2015)
IEEE Geosci. Remote Sens. Lett.
, vol.12
, Issue.8
, pp. 1765-1769
-
-
Tan, K.1
S.Zhou, Q.D.2
-
5
-
-
1942484430
-
Semi-supervised learning using Gaussian fields and harmonic functions
-
[5] Zhu, X., Ghahramani, Z., Lafferty, J., Semi-supervised learning using Gaussian fields and harmonic functions. Proceedings of the 20th International Conference on Machine Learning, 2003, 912–919.
-
(2003)
Proceedings of the 20th International Conference on Machine Learning
, pp. 912-919
-
-
Zhu, X.1
Ghahramani, Z.2
Lafferty, J.3
-
6
-
-
26444592207
-
Learning from labeled and unlabeled data with label propagation
-
Carnegie Mellon University CMU-CALD-02-107
-
[6] Zhu, X., Ghahramani, Z., Learning from labeled and unlabeled data with label propagation. School of Computer Science, 2002, Carnegie Mellon University CMU-CALD-02-107.
-
(2002)
School of Computer Science
-
-
Zhu, X.1
Ghahramani, Z.2
-
7
-
-
33750729556
-
Manifold regularization: a geometric framework for learning from labeled and unlabeled examples
-
[7] Belkin, M., Niyogi, P., Sindhwani, V., Manifold regularization: a geometric framework for learning from labeled and unlabeled examples. J. Mach. Learn. Res. 7 (2006), 2399–2434.
-
(2006)
J. Mach. Learn. Res.
, vol.7
, pp. 2399-2434
-
-
Belkin, M.1
Niyogi, P.2
Sindhwani, V.3
-
8
-
-
22944492898
-
Learning with local and global consistency
-
[8] Zhou, D., Bousquet, O., Navin Lal, T., Weston, J., Scholkopf, B., Learning with local and global consistency. Proceedings of Advances in Neural Information Processing Systems, 16, 2003, 321–328.
-
(2003)
Proceedings of Advances in Neural Information Processing Systems
, vol.16
, pp. 321-328
-
-
Zhou, D.1
Bousquet, O.2
Navin Lal, T.3
Weston, J.4
Scholkopf, B.5
-
9
-
-
84897560409
-
Label propagation through minimax paths for scalable semi-supervised learning
-
[9] Kim, K., Choi, S., Label propagation through minimax paths for scalable semi-supervised learning. Pattern Recogn. Lett. 45 (2014), 17–25.
-
(2014)
Pattern Recogn. Lett.
, vol.45
, pp. 17-25
-
-
Kim, K.1
Choi, S.2
-
10
-
-
71149102018
-
Graph construction and b-matching for semi-supervised learning
-
[10] Jebara, T., Wang, J., Chang, S., Graph construction and b-matching for semi-supervised learning. Proceedings of the 26th International Conference on Machine Learning, 2009, 441–448.
-
(2009)
Proceedings of the 26th International Conference on Machine Learning
, pp. 441-448
-
-
Jebara, T.1
Wang, J.2
Chang, S.3
-
11
-
-
84921027070
-
Local manifold learning based graph construction for semisupervised hyperspectral image classification
-
[11] Ma, L., Crawford, M.M., Yang, X., Guo, Y., Local manifold learning based graph construction for semisupervised hyperspectral image classification. IEEE Trans. Geosci. Remote Sens. 53:5 (2015), 2832–2844.
-
(2015)
IEEE Trans. Geosci. Remote Sens.
, vol.53
, Issue.5
, pp. 2832-2844
-
-
Ma, L.1
Crawford, M.M.2
Yang, X.3
Guo, Y.4
-
12
-
-
84899967600
-
Advances in spectral-spatial classification of hyperspectral images
-
[12] Fauvel, M., Tarabala, Y., Benediktsson, J.A., Chanussot, J., Tilton, J.C., Advances in spectral-spatial classification of hyperspectral images. Proc. IEEE 101:3 (2013), 652–675.
-
(2013)
Proc. IEEE
, vol.101
, Issue.3
, pp. 652-675
-
-
Fauvel, M.1
Tarabala, Y.2
Benediktsson, J.A.3
Chanussot, J.4
Tilton, J.C.5
-
13
-
-
14644435059
-
Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations
-
[13] Plaza, A., Martinez, P., Plaza, J., Perez, R., Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations. IEEE Trans. Geosci. Remote Sens. 43:3 (2005), 466–479.
-
(2005)
IEEE Trans. Geosci. Remote Sens.
, vol.43
, Issue.3
, pp. 466-479
-
-
Plaza, A.1
Martinez, P.2
Plaza, J.3
Perez, R.4
-
14
-
-
84941929639
-
Spatial regularized local manifold learning for classification of hyperspectral images
-
[14] Ma, L., Zhang, X., Yu, X., Luo, D., Spatial regularized local manifold learning for classification of hyperspectral images. IEEE J. Select. Top. Appl. Earth Observat. Remote Sens. 9:2 (2016), 609–624.
-
(2016)
IEEE J. Select. Top. Appl. Earth Observat. Remote Sens.
, vol.9
, Issue.2
, pp. 609-624
-
-
Ma, L.1
Zhang, X.2
Yu, X.3
Luo, D.4
-
15
-
-
80052087210
-
On combining multiple features for hyperspectral remote sensing image classification
-
[15] Zhang, L., Zhang, L., Tao, D., Huang, X., On combining multiple features for hyperspectral remote sensing image classification. IEEE Trans. Geosci. Remote Sens. 50:3 (2012), 879–893.
-
(2012)
IEEE Trans. Geosci. Remote Sens.
, vol.50
, Issue.3
, pp. 879-893
-
-
Zhang, L.1
Zhang, L.2
Tao, D.3
Huang, X.4
-
16
-
-
85027917453
-
Spectral-spatial hyperspectral image classification using L1/2 regularized low-rank representation and sparse representation-based graph cuts
-
[16] Jia, S., Zhang, X., Li, Q., Spectral-spatial hyperspectral image classification using L1/2 regularized low-rank representation and sparse representation-based graph cuts. IEEE J. Select. Top. Appl. Earth Observat. Remote Sens. 8:6 (2015), 2473–2484.
-
(2015)
IEEE J. Select. Top. Appl. Earth Observat. Remote Sens.
, vol.8
, Issue.6
, pp. 2473-2484
-
-
Jia, S.1
Zhang, X.2
Li, Q.3
-
17
-
-
39049145967
-
Semi-supervised graph-based hyperspectral image classification
-
[17] Camps-Valls, G., Marsheva, T.V.B., Zhou, D., Semi-supervised graph-based hyperspectral image classification. IEEE Trans. Geosci. Remote Sens. 45:10 (2007), 3044–3054.
-
(2007)
IEEE Trans. Geosci. Remote Sens.
, vol.45
, Issue.10
, pp. 3044-3054
-
-
Camps-Valls, G.1
Marsheva, T.V.B.2
Zhou, D.3
-
18
-
-
84883080198
-
Semi-supervised hyperspectral image classification using spatio-spectral laplacian support vector machine
-
[18] Yang, L., Yang, S., Jin, P., Zhang, R., Semi-supervised hyperspectral image classification using spatio-spectral laplacian support vector machine. IEEE Geosci. Remote Sens. Lett. 11:3 (2014), 651–655.
-
(2014)
IEEE Geosci. Remote Sens. Lett.
, vol.11
, Issue.3
, pp. 651-655
-
-
Yang, L.1
Yang, S.2
Jin, P.3
Zhang, R.4
-
19
-
-
84891559599
-
Spectral-spatial constraint hyperspectral image classification
-
[19] Ji, R., Gao, Y., Hong, R., Liu, Q., Tao, D., Li, X., Spectral-spatial constraint hyperspectral image classification. IEEE Trans. Geosci. Remote Sens. 52:3 (2014), 1811–1824.
-
(2014)
IEEE Trans. Geosci. Remote Sens.
, vol.52
, Issue.3
, pp. 1811-1824
-
-
Ji, R.1
Gao, Y.2
Hong, R.3
Liu, Q.4
Tao, D.5
Li, X.6
-
20
-
-
84993247151
-
Reidel Pub. Comp., Dordrecht
-
Holland
-
[20] Niiniluoto, I., Truthlikeness, D., Reidel Pub. Comp., Dordrecht. 1987, Holland.
-
(1987)
-
-
Niiniluoto, I.1
Truthlikeness, D.2
-
21
-
-
0031338770
-
Distance measures for point sets and their computation
-
[21] Eiter, T., Mannila, H., Distance measures for point sets and their computation. Acta Inf. 34 (1997), 109–133.
-
(1997)
Acta Inf.
, vol.34
, pp. 109-133
-
-
Eiter, T.1
Mannila, H.2
-
22
-
-
34247356156
-
Spatially coherent nonlinear dimensionality reduction and segmentation of hyperspectral images
-
[22] Mohan, A., Sapiro, G., Bosch, E., Spatially coherent nonlinear dimensionality reduction and segmentation of hyperspectral images. IEEE Geosci. Remote Sens. Lett. 4:2 (2007), 206–210.
-
(2007)
IEEE Geosci. Remote Sens. Lett.
, vol.4
, Issue.2
, pp. 206-210
-
-
Mohan, A.1
Sapiro, G.2
Bosch, E.3
-
23
-
-
84902072726
-
A novel spatial-spectral similarity measure for dimensionality reduction and classification of hyperspectral imagery
-
[23] Pu, H., Chen, Z., Wang, B., Jiang, G., A novel spatial-spectral similarity measure for dimensionality reduction and classification of hyperspectral imagery. IEEE Trans. Geosci. Remote Sens. 52:11 (2014), 7008–7022.
-
(2014)
IEEE Trans. Geosci. Remote Sens.
, vol.52
, Issue.11
, pp. 7008-7022
-
-
Pu, H.1
Chen, Z.2
Wang, B.3
Jiang, G.4
-
24
-
-
84862619225
-
Efficient non-parametric function induction in semi-supervised learning
-
[24] Delalleau, O., Bengio, Y., Rolux, N.L., Efficient non-parametric function induction in semi-supervised learning. Proceedings of 10th International Workshop on Artificial Intelligence and Statistics, 2005, 96–103.
-
(2005)
Proceedings of 10th International Workshop on Artificial Intelligence and Statistics
, pp. 96-103
-
-
Delalleau, O.1
Bengio, Y.2
Rolux, N.L.3
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