-
1
-
-
45949123735
-
Principal component analysis
-
S. Wold, K. Esbensen, and P. Geladi, "Principal component analysis," Chemometr. Intell. Lab., vol. 2, pp. 37-52, 1987.
-
(1987)
Chemometr. Intell. Lab.
, vol.2
, pp. 37-52
-
-
Wold, S.1
Esbensen, K.2
Geladi, P.3
-
2
-
-
0028416938
-
Independent component analysis, a new concept?
-
Apr
-
P. Comon, "Independent component analysis, a new concept?" Signal Process., vol. 36, no. 3, pp. 287-314, Apr. 1994.
-
(1994)
Signal Process.
, vol.36
, Issue.3
, pp. 287-314
-
-
Comon, P.1
-
4
-
-
2642530204
-
Nonparametric weighted feature extraction for classification
-
May
-
B. C. Kuo and D. A. Landgrebe, "Nonparametric weighted feature extraction for classification," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 5, pp. 1096-1105, May 2004.
-
(2004)
IEEE Trans. Geosci. Remote Sens.
, vol.42
, Issue.5
, pp. 1096-1105
-
-
Kuo, B.C.1
Landgrebe, D.A.2
-
5
-
-
35348882054
-
Modified Fisher's linear discriminant analysis for hyperspectral imagery
-
DOI 10.1109/LGRS.2007.900751
-
Q. Du, "Modified Fisher's linear discriminant analysis for hyperspectral imagery," IEEE Geosci. Remote Sens. Lett., vol. 4, no. 4, pp. 503-507, Oct. 2007. (Pubitemid 47588019)
-
(2007)
IEEE Geoscience and Remote Sensing Letters
, vol.4
, Issue.4
, pp. 503-507
-
-
Du, Q.1
-
6
-
-
61349199062
-
Classification of hyperspectral images with regularized linear discriminant analysis
-
Mar
-
T. V. Bandos, L. Bruzzone, and G. Camps-Valls, "Classification of hyperspectral images with regularized linear discriminant analysis," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 3, pp. 862-873, Mar. 2009.
-
(2009)
IEEE Trans. Geosci. Remote Sens.
, vol.47
, Issue.3
, pp. 862-873
-
-
Bandos, T.V.1
Bruzzone, L.2
Camps-Valls, G.3
-
7
-
-
77958582596
-
A nonparametric feature extraction and its application to nearest neighbor classification for hyperspectral image data
-
Mar
-
J.-M. Yang, P.-T. Yu, and B.-C. Kuo, "A nonparametric feature extraction and its application to nearest neighbor classification for hyperspectral image data," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 3, pp. 1279-1293, Mar. 2010.
-
(2010)
IEEE Trans. Geosci. Remote Sens.
, vol.48
, Issue.3
, pp. 1279-1293
-
-
Yang, J.-M.1
Yu, P.-T.2
Kuo, B.-C.3
-
8
-
-
78049282379
-
Double nearest proportion feature extraction for hyperspectral-image classification
-
Nov
-
H. Y. Huang and B. C. Kuo, "Double nearest proportion feature extraction for hyperspectral-image classification," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 11, pp. 4034-4046, Nov. 2010.
-
(2010)
IEEE Trans. Geosci. Remote Sens.
, vol.48
, Issue.11
, pp. 4034-4046
-
-
Huang, H.Y.1
Kuo, B.C.2
-
9
-
-
33947194180
-
Graph embedding and extensions: A general framework for dimensionality reduction
-
DOI 10.1109/TPAMI.2007.250598
-
S. Yan, D. Xu, B. Zhang, H. J. Zhang, Q. Yang, and S. Lin, "Graph embedding and extensions: A general framework for dimensionality reduction," IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 1, pp. 40-51, Jan. 2007. (Pubitemid 46415944)
-
(2007)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.29
, Issue.1
, pp. 40-51
-
-
Yan, S.1
Xu, D.2
Zhang, B.3
Zhang, H.-J.4
Yang, Q.5
Lin, S.6
-
10
-
-
13444286179
-
Locality preserving projections (LPP)
-
Vancouver, BC, Canada: MIT Press
-
X. He and P. Niyogi, "Locality preserving projections (LPP)," in Advances in Neural Information Processing Systems, vol. 103. Vancouver, BC, Canada: MIT Press, 2004.
-
(2004)
Advances in Neural Information Processing Systems
, vol.103
-
-
He, X.1
Niyogi, P.2
-
11
-
-
34249086815
-
Dimensionality reduction of multimodal labeled data by local fisher discriminant analysis
-
M. Sugiyama, "Dimensionality reduction of multimodal labeled data by local Fisher discriminant analysis," J. Mach. Learn. Res., vol. 8, pp. 1027-1061, May 2007. (Pubitemid 46798409)
-
(2007)
Journal of Machine Learning Research
, vol.8
, pp. 1027-1061
-
-
Sugiyama, M.1
-
12
-
-
56749105615
-
Discriminative locality alignment
-
T. Zhang, D. Tao, and J. Yang, "Discriminative locality alignment," in Proc. Eur. Conf. Comput. Vis., 2008, pp. 725-738.
-
(2008)
Proc. Eur. Conf. Comput. Vis.
, pp. 725-738
-
-
Zhang, T.1
Tao, D.2
Yang, J.3
-
13
-
-
68549120964
-
Patch alignment for dimensionality reduction
-
Sep
-
T. Zhang, D. Tao, X. Li, and J. Yang, "Patch alignment for dimensionality reduction," IEEE Trans. Knowl. Data Eng., vol. 21, no. 9, pp. 1299-1313, Sep. 2009.
-
(2009)
IEEE Trans. Knowl. Data Eng.
, vol.21
, Issue.9
, pp. 1299-1313
-
-
Zhang, T.1
Tao, D.2
Li, X.3
Yang, J.4
-
14
-
-
84899006908
-
Learning with local and global consistency
-
D. Zhou, O. Bousquet, T. N. Lal, J. Weston, and B. Schölkopf, "Learning with local and global consistency," in Proc. Adv. Neural Inf., 2004, vol. 16, pp. 321-328.
-
(2004)
Proc. Adv. Neural Inf.
, vol.16
, pp. 321-328
-
-
Zhou, D.1
Bousquet, O.2
Lal, T.N.3
Weston, J.4
Schölkopf, B.5
-
15
-
-
39049145967
-
Semi-supervised graph-based hyperspectral image classification
-
Oct
-
G. Camps-Valls, T. Bandos Marsheva, and D. Zhou, "Semi-supervised graph-based hyperspectral image classification," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 10, pp. 3044-3054, Oct. 2007.
-
(2007)
IEEE Trans. Geosci. Remote Sens.
, vol.45
, Issue.10
, pp. 3044-3054
-
-
Camps-Valls, G.1
Bandos Marsheva, T.2
Zhou, D.3
-
16
-
-
44649132677
-
A unified framework for semisupervised dimensionality reduction
-
Sep
-
Y. Song, F. Nie, C. Zhang, and S. Xiang, "A unified framework for semisupervised dimensionality reduction," Pattern Recogn., vol. 41, no. 9, pp. 2789-2799, Sep. 2008.
-
(2008)
Pattern Recogn.
, vol.41
, Issue.9
, pp. 2789-2799
-
-
Song, Y.1
Nie, F.2
Zhang, C.3
Xiang, S.4
-
17
-
-
33750819329
-
A novel transductive SVM for semisupervised classification of remote-sensing images
-
Nov
-
L. Bruzzone, M. Chi, and M. Marconcini, "A novel transductive SVM for semisupervised classification of remote-sensing images," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 11, pp. 3363-3373, Nov. 2006.
-
(2006)
IEEE Trans. Geosci. Remote Sens.
, vol.44
, Issue.11
, pp. 3363-3373
-
-
Bruzzone, L.1
Chi, M.2
Marconcini, M.3
-
19
-
-
79952022416
-
Semisupervised dimensionality reduction with pairwise constraints for hyperspectral image classification
-
Mar
-
S. Chen and D. Zhang, "Semisupervised dimensionality reduction with pairwise constraints for hyperspectral image classification," IEEE Geosci. Remote Sens. Lett., vol. 8, no. 2, pp. 369-373, Mar. 2011.
-
(2011)
IEEE Geosci. Remote Sens. Lett.
, vol.8
, Issue.2
, pp. 369-373
-
-
Chen, S.1
Zhang, D.2
-
20
-
-
31144448472
-
Composite kernels for hyperspectral image classification
-
DOI 10.1109/LGRS.2005.857031
-
G. Camps-Valls, L. Gomez-Chova, J. Muñoz-Marí, J. Vila-Francés, and J. Calpe-Maravilla, "Composite kernels for hyperspectral image classification," IEEE Geosci. Remote Sens. Lett., vol. 3, no. 1, pp. 93-97, Jan. 2006. (Pubitemid 43131904)
-
(2006)
IEEE Geoscience and Remote Sensing Letters
, 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
-
21
-
-
33749252873
-
-
Cambridge, MA: MIT Press
-
O. Chapelle, B. Schölkopf, and A. Zien, Semi-supervised Learning, vol. 2. Cambridge, MA: MIT Press, 2006.
-
(2006)
Semi-supervised Learning
, vol.2
-
-
Chapelle, O.1
Schölkopf, B.2
Zien, A.3
-
22
-
-
33750729556
-
Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
-
M. Belkin, P. Niyogi, and V. Sindhwani, "Manifold regularization: A geometric framework for learning from labeled and unlabeled examples," J. Mach. Learn. Res., vol. 7, pp. 2399-2434, Dec. 2006. (Pubitemid 44708005)
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 2399-2434
-
-
Belkin, M.1
Niyogi, P.2
Sindhwani, V.3
-
23
-
-
49049111209
-
Semi-supervised discriminant analysis
-
D. Cai, X. He, and J. Han, "Semi-supervised discriminant analysis," in Proc. Int. Conf. Comput. Vis., 2007, pp. 1-7.
-
(2007)
Proc. Int. Conf. Comput. Vis.
, pp. 1-7
-
-
Cai, D.1
He, X.2
Han, J.3
-
24
-
-
56749103988
-
A graph based subspace semisupervised learning framework for dimensionality reduction
-
W. Yang, S. Zhang, and W. Liang, "A graph based subspace semisupervised learning framework for dimensionality reduction," in Proc. Eur. Conf. Comput. Vis., 2008, pp. 664-677.
-
(2008)
Proc. Eur. Conf. Comput. Vis.
, pp. 664-677
-
-
Yang, W.1
Zhang, S.2
Liang, W.3
-
25
-
-
0005004572
-
The value of unlabeled data for classification problems
-
T. Zhang, "The value of unlabeled data for classification problems," in Proc. 17th Int. Conf. Mach. Learn., 2002, pp. 1191-1198.
-
(2002)
Proc. 17th Int. Conf. Mach. Learn.
, pp. 1191-1198
-
-
Zhang, T.1
-
26
-
-
84863338319
-
Unlabeled data: Now it helps, now it doesn't
-
A. Singh, R. Nowak, and X. Zhu, "Unlabeled data: Now it helps, now it doesn't," in Proc. Adv. Neural Inf., 2008, vol. 21, pp. 1513-1520.
-
(2008)
Proc. Adv. Neural Inf.
, vol.21
, pp. 1513-1520
-
-
Singh, A.1
Nowak, R.2
Zhu, X.3
-
27
-
-
1942515439
-
Unlabeled data can degrade classification performance of generative classifiers
-
F. G. Cozman, I. Cohen, and M. Cirelo, "Unlabeled data can degrade classification performance of generative classifiers," in Proc. 15th Int. Florida Artif. Intell. Res. Soc. Conf., 2002, pp. 327-331.
-
(2002)
Proc. 15th Int. Florida Artif. Intell. Res. Soc. Conf.
, pp. 327-331
-
-
Cozman, F.G.1
Cohen, I.2
Cirelo, M.3
-
28
-
-
9644254228
-
Efficient graph-based image segmentation
-
Sep
-
P. F. Felzenszwalb and D. P. Huttenlocher, "Efficient graph-based image segmentation," Int. J. Comput. Vis., vol. 59, no. 2, pp. 167-181, Sep. 2004.
-
(2004)
Int. J. Comput. Vis.
, vol.59
, Issue.2
, pp. 167-181
-
-
Felzenszwalb, P.F.1
Huttenlocher, D.P.2
-
29
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
DOI 10.1126/science.290.5500.2323
-
S. T. Roweis and L. K. Saul, "Nonlinear dimensionality reduction by locally linear embedding," Science, vol. 290, no. 5500, pp. 2323-2326, Dec. 2000. (Pubitemid 32041578)
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2323-2326
-
-
Roweis, S.T.1
Saul, L.K.2
-
30
-
-
84880203756
-
Laplacian eigenmaps and spectral techniques for embedding and clustering
-
M. Belkin and P. Niyogi, "Laplacian eigenmaps and spectral techniques for embedding and clustering," in Proc. Adv. Neural Inf., 2002, vol. 1, pp. 585-592.
-
(2002)
Proc. Adv. Neural Inf.
, vol.1
, pp. 585-592
-
-
Belkin, M.1
Niyogi, P.2
-
31
-
-
84867920399
-
Principal manifolds and nonlinear dimensionality reduction via tangent space alignment
-
Z. Zhang and H. Zha, "Principal manifolds and nonlinear dimensionality reduction via tangent space alignment," J. Shanghai Univ. (English Edition), vol. 8, no. 4, pp. 406-424, Dec. 2004. (Pubitemid 40166014)
-
(2004)
Journal of Shanghai University
, vol.8
, Issue.4
, pp. 406-424
-
-
Zhang, Z.-Y.1
Zha, H.-Y.2
-
32
-
-
84898980901
-
Gaussian process latent variable models for visualization of high dimensional data
-
N. D. Lawrence, "Gaussian process latent variable models for visualization of high dimensional data," in Proc. Adv. Neural Inf., 2004, vol. 16, pp. 329-336.
-
(2004)
Proc. Adv. Neural Inf.
, vol.16
, pp. 329-336
-
-
Lawrence, N.D.1
-
33
-
-
24644436425
-
Learning a similarity metric discriminatively, with application to face verification
-
S. Chopra, R. Hadsell, and Y. LeCun, "Learning a similarity metric discriminatively, with application to face verification," in Proc. IEEE Comput. Vis. Pattern Recognit., 2005, vol. 1, pp. 539-546.
-
(2005)
Proc. IEEE Comput. Vis. Pattern Recognit.
, vol.1
, pp. 539-546
-
-
Chopra, S.1
Hadsell, R.2
Lecun, Y.3
-
34
-
-
65449163521
-
Structured metric learning for high dimensional problems
-
J. V. Davis and I. S. Dhillon, "Structured metric learning for high dimensional problems," in Proc. 14th ACM SIGKDD, 2008, pp. 195-203.
-
(2008)
Proc. 14th ACM SIGKDD
, pp. 195-203
-
-
Davis, J.V.1
Dhillon, I.S.2
-
35
-
-
50649117726
-
Learning globally-consistent local distance functions for shape-based image retrieval and classification
-
A. Frome, Y. Singer, F. Sha, and J. Malik, "Learning globally-consistent local distance functions for shape-based image retrieval and classification," in Proc. IEEE 11th Int. Conf. Comput. Vis., 2007, pp. 1-8.
-
(2007)
Proc. IEEE 11th Int. Conf. Comput. Vis.
, pp. 1-8
-
-
Frome, A.1
Singer, Y.2
Sha, F.3
Malik, J.4
-
36
-
-
85156254642
-
Kernel design using boosting
-
K. Crammer, J. Keshet, and Y. Singer, "Kernel design using boosting," in Proc. Adv. Neural Inf., 2002, vol. 15, pp. 537-544K.
-
(2002)
Proc. Adv. Neural Inf.
, vol.15
-
-
Crammer, K.1
Keshet, J.2
Singer, Y.3
-
37
-
-
1942418944
-
-
Crammer
-
Crammer, J. Keshet, and Y. Singer, "Kernel design using boosting,", vol. 15, pp. 537-544, 2002.
-
(2002)
Kernel Design Using Boosting
, vol.15
, pp. 537-544
-
-
Keshet, J.1
Singer, Y.2
-
38
-
-
84898970836
-
Kernel PCA and de-noising in feature spaces
-
S. Mika, B. Schölkopf, A. J. Smola, K. R. Müller, M. Scholz, and G. Rätsch, "Kernel PCA and de-noising in feature spaces," in Proc. Adv. Neur. Inf., 1999, vol. 11, pp. 536-542.
-
(1999)
Proc. Adv. Neur. Inf.
, vol.11
, pp. 536-542
-
-
Mika, S.1
Schölkopf, B.2
Smola, A.J.3
Müller, K.R.4
Scholz, M.5
Rätsch, G.6
-
39
-
-
80052087210
-
On combining multiple features for hyperspectral remote sensing image classification
-
Mar
-
L. Zhang, L. Zhang, D. Tao, and X. Huang, "On combining multiple features for hyperspectral remote sensing image classification," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 3, pp. 879-893, Mar. 2012.
-
(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
-
40
-
-
77952585265
-
Hybrid detectors based on selective endmembers
-
Jun
-
L. Zhang, B. Du, and Y. Zhong, "Hybrid detectors based on selective endmembers," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 6, pp. 2633-2646, Jun. 2010.
-
(2010)
IEEE Trans. Geosci. Remote Sens.
, vol.48
, Issue.6
, pp. 2633-2646
-
-
Zhang, L.1
Du, B.2
Zhong, Y.3
-
41
-
-
84855414287
-
An effective graph-based hierarchy image segmentation
-
W. Cu and Y. Zhang, "An effective graph-based hierarchy image segmentation," Intell. Autom. Soft Comput., vol. 17, no. 7, pp. 969-981, 2011.
-
(2011)
Intell. Autom. Soft Comput.
, vol.17
, Issue.7
, pp. 969-981
-
-
Cu, W.1
Zhang, Y.2
-
42
-
-
0035694667
-
An adaptive classifier design for high-dimensional data analysis with a limited training data set
-
DOI 10.1109/36.975001, PII S0196289201108776
-
Q. Jackson and D. Landgrebe, "An adaptive classifier design for highdimensional data analysis with a limited training data set," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 12, pp. 2664-2679, Dec. 2001. (Pubitemid 34091845)
-
(2001)
IEEE Transactions on Geoscience and Remote Sensing
, vol.39
, Issue.12
, pp. 2664-2679
-
-
Jackson, Q.1
Landgrebe, D.A.2
-
44
-
-
85032751896
-
Hyperspectral image data analysis
-
DOI 10.1109/79.974718
-
D. Landgrebe, "Hyperspectral image data analysis," IEEE Signal Process. Mag., vol. 19, no. 1, pp. 17-28, Jan. 2002. (Pubitemid 34237205)
-
(2002)
IEEE Signal Processing Magazine
, vol.19
, Issue.1
, pp. 17-28
-
-
Landgrebe, D.1
-
45
-
-
0348139702
-
Dimension reduction by local principal component analysis
-
N. Kambhatla and T. K. Leen, "Dimension reduction by local principal component analysis," Neural Comput., vol. 9, no. 7, pp. 1493-1516, Oct. 1997. (Pubitemid 127462802)
-
(1997)
Neural Computation
, vol.9
, Issue.7
, pp. 1493-1516
-
-
Kambhatla, N.1
Leen, T.K.2
-
46
-
-
2342517502
-
Think globally, fit locally: Unsupervised learning of low dimensional manifolds
-
Dec.
-
L. K. Saul and S. T. Roweis, "Think globally, fit locally: Unsupervised learning of low dimensional manifolds," J. Mach. Learn. Res., vol. 4, pp. 119-155, Dec. 2003.
-
(2003)
J. Mach. Learn. Res.
, vol.4
, pp. 119-155
-
-
Saul, L.K.1
Roweis, S.T.2
|