-
2
-
-
85027918174
-
Domain adaptation for remote sensing image classification: A low-rank reconstruction and instance weighting label propagation inspired algorithm
-
Oct.
-
Q. Shi, B. Du, and L. Zhang, "Domain adaptation for remote sensing image classification: A low-rank reconstruction and instance weighting label propagation inspired algorithm", IEEE Trans. Geosci. Remote Sens., vol. 53, no. 10, pp. 5677-5689, Oct. 2015.
-
(2015)
IEEE Trans. Geosci. Remote Sens.
, vol.53
, Issue.10
, pp. 5677-5689
-
-
Shi, Q.1
Du, B.2
Zhang, L.3
-
3
-
-
84927670473
-
Spatial coherence-based batch-mode active learning for remote sensing image classification
-
Jul
-
Q. Shi, B. Du, and L. Zhang, "Spatial coherence-based batch-mode active learning for remote sensing image classification", IEEE Trans. Image Process., vol. 24, no. 7, pp. 2037-2050, Jul. 2015.
-
(2015)
IEEE Trans. Image Process.
, vol.24
, Issue.7
, pp. 2037-2050
-
-
Shi, Q.1
Du, B.2
Zhang, L.3
-
4
-
-
56849127860
-
Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles
-
Nov.
-
M. Fauvel, J. A. Benediktsson, J. Chanussot, and J. R. Sveinsson, "Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles", IEEE Trans. Geosci. Remote Sens., vol. 46, no. 11, pp. 3804-3814, Nov. 2008.
-
(2008)
IEEE Trans. Geosci. Remote Sens.
, vol.46
, Issue.11
, pp. 3804-3814
-
-
Fauvel, M.1
Benediktsson, J.A.2
Chanussot, J.3
Sveinsson, J.R.4
-
5
-
-
85027941688
-
Novel two-dimensional singular spectrum analysis for effective feature extraction and data classification in hyperspectral imaging
-
Aug.
-
J. Zabalza et al., "Novel two-dimensional singular spectrum analysis for effective feature extraction and data classification in hyperspectral imaging", IEEE Trans. Geosci. Remote Sens., vol. 53, no. 8, pp. 4418-4433, Aug. 2015.
-
(2015)
IEEE Trans. Geosci. Remote Sens.
, vol.53
, Issue.8
, pp. 4418-4433
-
-
Zabalza, J.1
-
6
-
-
84990937872
-
Wavelet transform based land cover classification of hyperspectral images
-
Sivakasi, India
-
K. Kavitha, P. Nivedha, S. Arivazhagan, and P. Palniladeve, "Wavelet transform based land cover classification of hyperspectral images", in Proc. Int. Conf. Commun. Netw. Technol., Sivakasi, India, 2014, pp. 109-112.
-
(2014)
Proc. Int. Conf. Commun. Netw. Technol.
, pp. 109-112
-
-
Kavitha, K.1
Nivedha, P.2
Arivazhagan, S.3
Palniladeve, P.4
-
7
-
-
84911412612
-
An ICA based approach to hyperspectral image feature reduction
-
Quebec City, QC, Canada
-
N. Falco, L. Bruzzone, and J. A. Benediktsson, "An ICA based approach to hyperspectral image feature reduction", in Proc. IEEE Trans. Geosci. Remote Sens. Symp., Quebec City, QC, Canada, 2014, pp. 3470-3473.
-
(2014)
Proc. IEEE Trans. Geosci. Remote Sens. Symp.
, pp. 3470-3473
-
-
Falco, N.1
Bruzzone, L.2
Benediktsson, J.A.3
-
8
-
-
84890054595
-
The relevance sample-feature machine: A sparse Bayesian learning approach to joint feature-sample selection
-
Dec.
-
Y. Mohsenzadeh, H. Sheikhzadeh, A. M. Reza, N. Bathaee, and M. M. Kalayeh, "The relevance sample-feature machine: A sparse Bayesian learning approach to joint feature-sample selection", IEEE Trans. Cybern., vol. 43, no. 6, pp. 2241-2254, Dec. 2013.
-
(2013)
IEEE Trans. Cybern.
, vol.43
, Issue.6
, pp. 2241-2254
-
-
Mohsenzadeh, Y.1
Sheikhzadeh, H.2
Reza, A.M.3
Bathaee, N.4
Kalayeh, M.M.5
-
9
-
-
36048992886
-
General tensor discriminant analysis and Gabor features for gait recognition
-
Oct.
-
D. Tao, X. Li, X. Wu, and S. J. Maybank, "General tensor discriminant analysis and Gabor features for gait recognition", IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 10, pp. 1700-1715, Oct. 2007.
-
(2007)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.29
, Issue.10
, pp. 1700-1715
-
-
Tao, D.1
Li, X.2
Wu, X.3
Maybank, S.J.4
-
10
-
-
84877887638
-
Multiview Hessian regularization for image annotation
-
Jul
-
W. Liu and D. Tao, "Multiview Hessian regularization for image annotation", IEEE Trans. Image Process., vol. 22, no. 7, pp. 2676-2687, Jul. 2013.
-
(2013)
IEEE Trans. Image Process.
, vol.22
, Issue.7
, pp. 2676-2687
-
-
Liu, W.1
Tao, D.2
-
11
-
-
84928379855
-
Multi-task pose-invariant face recognition
-
Mar.
-
C. Ding, C. Xu, and D. Tao, "Multi-task pose-invariant face recognition", IEEE Trans. Image Process., vol. 24, no. 3, pp. 980-993, Mar. 2015.
-
(2015)
IEEE Trans. Image Process.
, vol.24
, Issue.3
, pp. 980-993
-
-
Ding, C.1
Xu, C.2
Tao, D.3
-
12
-
-
84866609133
-
Visual classification with multitask joint sparse representation
-
Oct.
-
X.-T. Yuan, X. Liu, and S. Yan, "Visual classification with multitask joint sparse representation", IEEE Trans. Image Process., vol. 21, no. 10, pp. 4349-4360, Oct. 2012.
-
(2012)
IEEE Trans. Image Process.
, vol.21
, Issue.10
, pp. 4349-4360
-
-
Yuan, X.-T.1
Liu, X.2
Yan, S.3
-
13
-
-
84872258670
-
Manifold regularized multitask learning for semi-supervised multilabel image classification
-
Feb.
-
Y. Luo, D. Tao, C. Xu, B. Geng, and S. J. Maybank, "Manifold regularized multitask learning for semi-supervised multilabel image classification", IEEE Trans. Image Process., vol. 22, no. 2, pp. 523-536, Feb. 2013.
-
(2013)
IEEE Trans. Image Process.
, vol.22
, Issue.2
, pp. 523-536
-
-
Luo, Y.1
Tao, D.2
Xu, C.3
Geng, B.4
Maybank, S.J.5
-
14
-
-
84904192140
-
Large-margin multi-viewinformation bottleneck
-
Aug.
-
C. Xu, D. Tao, and C. Xu, "Large-margin multi-viewinformation bottleneck", IEEE Trans. Pattern Anal. Mach. Intell., vol. 36, no. 8, pp. 1559-1572, Aug. 2014.
-
(2014)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.36
, Issue.8
, pp. 1559-1572
-
-
Xu, C.1
Tao, D.2
Xu, C.3
-
15
-
-
84896389249
-
Kernel sparse multitask learning for hyperspectral image classification with empirical mode decomposition and morphological wavelet-based features
-
Aug.
-
H. Zhi, Q. Wang, Y. Shen, and M. Sun, "Kernel sparse multitask learning for hyperspectral image classification with empirical mode decomposition and morphological wavelet-based features", IEEE Trans. Geosci. Remote Sens., vol. 52, no. 8, pp. 5150-5163, Aug. 2014.
-
(2014)
IEEE Trans. Geosci. Remote Sens.
, vol.52
, Issue.8
, pp. 5150-5163
-
-
Zhi, H.1
Wang, Q.2
Shen, Y.3
Sun, M.4
-
16
-
-
84901201294
-
Joint collaborative representation with multitask learning for hyperspectral image classification
-
Sep.
-
J. Li, H. Zhang, L. Zhang, X. Huang, and L. Zhang, "Joint collaborative representation with multitask learning for hyperspectral image classification", IEEE Trans. Geosci. Remote Sens., vol. 52, no. 9, pp. 5923-5936, Sep. 2014.
-
(2014)
IEEE Trans. Geosci. Remote Sens.
, vol.52
, Issue.9
, pp. 5923-5936
-
-
Li, J.1
Zhang, H.2
Zhang, L.3
Huang, X.4
Zhang, L.5
-
17
-
-
84897584440
-
Visual saliency by selective contrast
-
Jul
-
Q. Wang, Y. Yuan, and P. Yan, "Visual saliency by selective contrast", IEEE Trans. Circuits Syst. Video Technol., vol. 23, no. 7, pp. 1150-1155, Jul. 2013.
-
(2013)
IEEE Trans. Circuits Syst. Video Technol.
, vol.23
, Issue.7
, pp. 1150-1155
-
-
Wang, Q.1
Yuan, Y.2
Yan, P.3
-
18
-
-
84255182564
-
Support vector machines, import vector machines and relevance vector machines for hyperspectral classification-A comparison
-
Lisbon, Portugal
-
A. C. Braun, U. Weidner, and S. Hinz, "Support vector machines, import vector machines and relevance vector machines for hyperspectral classification-A comparison", in Proc. IEEE 3rd Workshop Hyperspect. Image Signal Process. Evol. Remote Sens., Lisbon, Portugal, 2011, pp. 1-4.
-
(2011)
Proc. IEEE 3rd Workshop Hyperspect. Image Signal Process. Evol. Remote Sens.
, pp. 1-4
-
-
Braun, A.C.1
Weidner, U.2
Hinz, S.3
-
19
-
-
67650436064
-
Recent advances in techniques for hyperspectral image processing
-
Sep.
-
A. Plaza et al., "Recent advances in techniques for hyperspectral image processing", Remote Sens. Environ., vol. 113, pp. S110-S122, Sep. 2009.
-
(2009)
Remote Sens. Environ.
, vol.113
, pp. S110-S122
-
-
Plaza, A.1
-
20
-
-
80955154956
-
Hyperspectral image classification using spectral and spatial information based linear discriminant analysis
-
Vancouver, BC, Canada
-
C.-H. Li, H.-S. Chu, B.-C. Kuo, and C.-T. Lin, "Hyperspectral image classification using spectral and spatial information based linear discriminant analysis", in Proc. IEEE Int. Geosci. Remote Sens. Symp., Vancouver, BC, Canada, 2011, pp. 1716-1719.
-
(2011)
Proc. IEEE Int. Geosci. Remote Sens. Symp.
, pp. 1716-1719
-
-
Li, C.-H.1
Chu, H.-S.2
Kuo, B.-C.3
Lin, C.-T.4
-
21
-
-
84891559599
-
Spectral-spatial constraint hyperspectral image classification
-
Mar.
-
R. Ji et al., "Spectral-spatial constraint hyperspectral image classification", IEEE Trans. Geosci. Remote Sens., vol. 52, no. 3, pp. 1811-1823, Mar. 2014.
-
(2014)
IEEE Trans. Geosci. Remote Sens.
, vol.52
, Issue.3
, pp. 1811-1823
-
-
Ji, R.1
-
22
-
-
84896314121
-
Spectral-spatial hyperspectral image classification with edge-preserving filtering
-
May
-
X. Kang, S. Li, and J. A. Benediktsson, "Spectral-spatial hyperspectral image classification with edge-preserving filtering", IEEE Trans. Geosci. Remote Sens., vol. 52, no. 5, pp. 2666-2677, May 2014.
-
(2014)
IEEE Trans. Geosci. Remote Sens.
, vol.52
, Issue.5
, pp. 2666-2677
-
-
Kang, X.1
Li, S.2
Benediktsson, J.A.3
-
23
-
-
84937469063
-
In defense of iterated conditional mode for hyperspectral image classification
-
Chengdu, China
-
J. Lin, Q. Wang, and Y. Yuan, "In defense of iterated conditional mode for hyperspectral image classification", in Proc. IEEE Int. Conf. Multimedia Expo, Chengdu, China, 2014, pp. 1-6.
-
(2014)
Proc. IEEE Int. Conf. Multimedia Expo
, pp. 1-6
-
-
Lin, J.1
Wang, Q.2
Yuan, Y.3
-
24
-
-
77958017904
-
SVM- and MRF-based method for accurate classification of hyperspectral images
-
Oct.
-
Y. Tarabalka, M. Fauvel, J. Chanussot, and J. A. Benediktsson, "SVM- and MRF-based method for accurate classification of hyperspectral images", IEEE Trans. Geosci. Remote Sens., vol. 7, no. 4, pp. 736-740, Oct. 2010.
-
(2010)
IEEE Trans. Geosci. Remote Sens.
, vol.7
, Issue.4
, pp. 736-740
-
-
Tarabalka, Y.1
Fauvel, M.2
Chanussot, J.3
Benediktsson, J.A.4
-
25
-
-
80052335044
-
Adaptive Markov random field approach for classification of hyperspectral imagery
-
Sep.
-
B. Zhang, S. Li, X. Jia, L. Gao, and M. Peng, "Adaptive Markov random field approach for classification of hyperspectral imagery", IEEE Geosci. Remote Sens. Lett., vol. 8, no. 5, pp. 973-977, Sep. 2011.
-
(2011)
IEEE Geosci. Remote Sens. Lett.
, vol.8
, Issue.5
, pp. 973-977
-
-
Zhang, B.1
Li, S.2
Jia, X.3
Gao, L.4
Peng, M.5
-
26
-
-
80052087931
-
Spectral-spatial hyperspectral image segmentation using subspace multinomial logistic regression and Markov random fields
-
Mar.
-
J. Li, J. M. Bioucas-Dias, and A. Plaza, "Spectral-spatial hyperspectral image segmentation using subspace multinomial logistic regression and Markov random fields", IEEE Geosci. Remote Sens. Lett., vol. 50, no. 3, pp. 809-823, Mar. 2012.
-
(2012)
IEEE Geosci. Remote Sens. Lett.
, vol.50
, Issue.3
, pp. 809-823
-
-
Li, J.1
Bioucas-Dias, J.M.2
Plaza, A.3
-
27
-
-
1042289276
-
Hidden Markov measure field models for image segmentation
-
Nov.
-
J. L. Marroquin, E. A. Santana, and S. Botello, "Hidden Markov measure field models for image segmentation", IEEE Trans. Pattern Anal. Mach. Intell., vol. 25, no. 11, pp. 1380-1387, Nov. 2003.
-
(2003)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.25
, Issue.11
, pp. 1380-1387
-
-
Marroquin, J.L.1
Santana, E.A.2
Botello, S.3
-
28
-
-
84877923837
-
Effect of denoising in band selection for regression tasks in hyperspectral datasets
-
Apr.
-
P. Latorre-Carmona, J. Martinez Sotoca, F. Pla, J. Bioucas-Dias, and C. J. Ferre, "Effect of denoising in band selection for regression tasks in hyperspectral datasets", IEEE J. Sel. Topics Appl. Earth Observ., vol. 6, no. 2, pp. 473-481, Apr. 2013.
-
(2013)
IEEE J. Sel. Topics Appl. Earth Observ.
, vol.6
, Issue.2
, pp. 473-481
-
-
Latorre-Carmona, P.1
Martinez Sotoca, J.2
Pla, F.3
Bioucas-Dias, J.4
Ferre, C.J.5
-
29
-
-
77951295936
-
Feature selection for classification of hyperspectral data by SVM
-
May
-
M. Pal and G. M. Foody, "Feature selection for classification of hyperspectral data by SVM", IEEE Trans. Geosci. Remote Sens., vol. 48, no. 5, pp. 2297-2307, May 2010.
-
(2010)
IEEE Trans. Geosci. Remote Sens.
, vol.48
, Issue.5
, pp. 2297-2307
-
-
Pal, M.1
Foody, G.M.2
-
30
-
-
77958017904
-
SVMand MRF-based method for accurate classification of hyperspectral images
-
Oct.
-
Y. Tarabalka, M. Fauvel, J. Chanussot, and J. A. Benediktsson, "SVMand MRF-based method for accurate classification of hyperspectral images", IEEE Geosci. Remote Sens. Lett., vol. 7, no. 4, pp. 736-740, Oct. 2010.
-
(2010)
IEEE Geosci. Remote Sens. Lett.
, vol.7
, Issue.4
, pp. 736-740
-
-
Tarabalka, Y.1
Fauvel, M.2
Chanussot, J.3
Benediktsson, J.A.4
-
31
-
-
77952717202
-
Sparse representation for computer vision and pattern recognition
-
Jun.
-
J. Wright et al., "Sparse representation for computer vision and pattern recognition", Proc. IEEE, vol. 98, no. 6, pp. 1031-1044, Jun. 2010.
-
(2010)
Proc. IEEE
, vol.98
, Issue.6
, pp. 1031-1044
-
-
Wright, J.1
-
32
-
-
84886598638
-
Saliency detection by multipleinstance learning
-
Apr.
-
Q. Wang, Y. Yuan, P. Yan, and X. Li, "Saliency detection by multipleinstance learning", IEEE Trans. Cybern., vol. 43, no. 2, pp. 660-672, Apr. 2013.
-
(2013)
IEEE Trans. Cybern.
, vol.43
, Issue.2
, pp. 660-672
-
-
Wang, Q.1
Yuan, Y.2
Yan, P.3
Li, X.4
-
33
-
-
84869127088
-
Multi-spectral saliency detection
-
Q. Wang, P. Yan, Y. Yuan, and X. Li, "Multi-spectral saliency detection", Pattern Recognit. Lett., vol. 34, no. 1, pp. 34-41, 2013.
-
(2013)
Pattern Recognit. Lett.
, vol.34
, Issue.1
, pp. 34-41
-
-
Wang, Q.1
Yan, P.2
Yuan, Y.3
Li, X.4
-
35
-
-
77951173993
-
Accelerated gradient method for multi-task sparse learning problem
-
Miami, FL, USA
-
X. Chen, W. Pan, J. T. Kwok, and J. G. Carbonell, "Accelerated gradient method for multi-task sparse learning problem", in Proc. IEEE 9th Int. Conf. Data Mining, Miami, FL, USA, 2009, pp. 746-751.
-
(2009)
Proc. IEEE 9th Int. Conf. Data Mining
, pp. 746-751
-
-
Chen, X.1
Pan, W.2
Kwok, J.T.3
Carbonell, J.G.4
-
36
-
-
85027928537
-
Ordinal regression by a generalized force-based model
-
Apr.
-
F. Fernandez-Navarro, A. Riccardi, and S. Carloni, "Ordinal regression by a generalized force-based model", IEEE Trans. Cybern., vol. 45, no. 4, pp. 844-857, Apr. 2015.
-
(2015)
IEEE Trans. Cybern.
, vol.45
, Issue.4
, pp. 844-857
-
-
Fernandez-Navarro, F.1
Riccardi, A.2
Carloni, S.3
-
37
-
-
84928400696
-
Adaptive distributed outlier detection for WSNs
-
May
-
A. De Paola, S. Gaglio, G. L. Re, and F. Milazzo, "Adaptive distributed outlier detection for WSNs", IEEE Trans. Cybern., vol. 45, no. 5, pp. 888-899, May 2015.
-
(2015)
IEEE Trans. Cybern.
, vol.45
, Issue.5
, pp. 888-899
-
-
De Paola, A.1
Gaglio, S.2
Re, G.L.3
Milazzo, F.4
-
38
-
-
84929773331
-
System identification in presence of outliers
-
C. Yu, Q.-G. Wang, D. Zhang, L. Wang, and J. Huang, "System identification in presence of outliers", IEEE Trans. Cybern., Doi: 10.1109/TCYB.2015.2430356.
-
IEEE Trans. Cybern.
-
-
Yu, C.1
Wang, Q.-G.2
Zhang, D.3
Wang, L.4
Huang, J.5
-
39
-
-
71149088514
-
1, ∞ regularization
-
Montreal, QC, Canada
-
1, ∞ regularization", in Proc. IEEE Int. Conf. Mach. Learn., Montreal, QC, Canada, 2009, pp. 857-864.
-
(2009)
Proc. IEEE Int. Conf. Mach. Learn.
, pp. 857-864
-
-
Quattoni, A.1
Carreras, X.2
Collins, M.3
Trevor, D.4
-
40
-
-
20444500972
-
A Bayesian MRF framework for labeling terrain using hyperspectral imaging
-
Jun.
-
R. Neher and A. Srivastava, "A Bayesian MRF framework for labeling terrain using hyperspectral imaging", IEEE Trans. Geosci. Remote Sens., vol. 43, no. 6, pp. 1363-1374, Jun. 2005.
-
(2005)
IEEE Trans. Geosci. Remote Sens.
, vol.43
, Issue.6
, pp. 1363-1374
-
-
Neher, R.1
Srivastava, A.2
-
41
-
-
85027944157
-
The generalization ability of SVM classification based on Markov sampling
-
Jun.
-
J. Xu et al., "The generalization ability of SVM classification based on Markov sampling", IEEE Trans. Cybern., vol. 45, no. 6, pp. 1169-1179, Jun. 2015.
-
(2015)
IEEE Trans. Cybern.
, vol.45
, Issue.6
, pp. 1169-1179
-
-
Xu, J.1
-
42
-
-
78049438135
-
-
Defense Tech. Inf. Center, Fort Belvoir, VA, USA, Tech. Rep
-
H. Elliott, H. Derin, R. Cristi, and D. Geman, "Application of the Gibbs distribution to image segmentation", Defense Tech. Inf. Center, Fort Belvoir, VA, USA, Tech. Rep. ADA133406, 1983.
-
(1983)
Application of the Gibbs Distribution to Image Segmentation
-
-
Elliott, H.1
Derin, H.2
Cristi, R.3
Geman, D.4
-
43
-
-
0034546236
-
Comparison of Gaussian mixture and linear mixture models for classification of hyperspectral data
-
Honolulu, HI, USA
-
S. G. Beaven, D. Stein, and L. E. Hoff, "Comparison of Gaussian mixture and linear mixture models for classification of hyperspectral data", in Proc. IEEE Int. Geosci. Remote Sens. Symp., vol. 4. Honolulu, HI, USA, 2000, pp. 1597-1599.
-
(2000)
Proc. IEEE Int. Geosci. Remote Sens. Symp.
, vol.4
, pp. 1597-1599
-
-
Beaven, S.G.1
Stein, D.2
Hoff, L.E.3
-
44
-
-
43249091850
-
A comparative study of energy minimization methods for Markov random fields with smoothness-based priors
-
Jun.
-
R. Szeliski et al., "A comparative study of energy minimization methods for Markov random fields with smoothness-based priors", IEEE Trans. Pattern Anal. Mach. Intell., vol. 30, no. 6, pp. 1068-1080, Jun. 2008.
-
(2008)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.30
, Issue.6
, pp. 1068-1080
-
-
Szeliski, R.1
-
45
-
-
85027932710
-
Parameter selection of Gaussian kernel for one-class SVM
-
May
-
Y. Xiao, H. Wang, and W. Xu, "Parameter selection of Gaussian kernel for one-class SVM", IEEE Trans. Cybern., vol. 45, no. 5, pp. 927-939, May 2015.
-
(2015)
IEEE Trans. Cybern.
, vol.45
, Issue.5
, pp. 927-939
-
-
Xiao, Y.1
Wang, H.2
Xu, W.3
-
46
-
-
79952039898
-
Surveying and comparing simultaneous sparse approximation or group-lasso algorithms
-
A. Rakotomamonjy, "Surveying and comparing simultaneous sparse approximation or group-lasso algorithms", Signal Process., vol. 91, no. 7, pp. 1505-1526, 2011.
-
(2011)
Signal Process.
, vol.91
, Issue.7
, pp. 1505-1526
-
-
Rakotomamonjy, A.1
-
47
-
-
77949732443
-
Signal recovery from incomplete and inaccurate measurements via regularized orthogonal matching pursuit
-
Apr.
-
D. Needell and R. Vershynin, "Signal recovery from incomplete and inaccurate measurements via regularized orthogonal matching pursuit", IEEE J. Sel. Topics Signal Process., vol. 4, no. 2, pp. 310-316, Apr. 2010.
-
(2010)
IEEE J. Sel. Topics Signal Process.
, vol.4
, Issue.2
, pp. 310-316
-
-
Needell, D.1
Vershynin, R.2
-
48
-
-
0040528764
-
Multinomial logistic regression algorithm
-
D. Böhning, "Multinomial logistic regression algorithm", Ann. Inst. Stat. Math., vol. 44, no. 1, pp. 197-200, 1992.
-
(1992)
Ann. Inst. Stat. Math.
, vol.44
, Issue.1
, pp. 197-200
-
-
Böhning, D.1
-
49
-
-
78049282844
-
Semisupervised hyperspectral image segmentation using multinomial logistic regression with active learning
-
Nov.
-
J. Li, J. M. Bioucas-Dias, and A. Plaza, "Semisupervised hyperspectral image segmentation using multinomial logistic regression with active learning", IEEE Trans. Geosci. Remote Sens., vol. 48, no. 11, pp. 4085-4098, Nov. 2010.
-
(2010)
IEEE Trans. Geosci. Remote Sens.
, vol.48
, Issue.11
, pp. 4085-4098
-
-
Li, J.1
Bioucas-Dias, J.M.2
Plaza, A.3
-
50
-
-
65749110333
-
Subspace pursuit for compressive sensing signal reconstruction
-
May
-
W. Dai and O. Milenkovic, "Subspace pursuit for compressive sensing signal reconstruction", IEEE Trans. Inf. Theory, vol. 55, no. 2, pp. 2230-2249, May 2009.
-
(2009)
IEEE Trans. Inf. Theory
, vol.55
, Issue.2
, pp. 2230-2249
-
-
Dai, W.1
Milenkovic, O.2
-
51
-
-
0036132565
-
Genetic feature selection combined with composite fuzzy nearest neighbor classifiers for hyperspectral satellite imagery
-
S. Yu, S. De Backer, and P. Scheunders, "Genetic feature selection combined with composite fuzzy nearest neighbor classifiers for hyperspectral satellite imagery", Pattern Recognit. Lett., vol. 23, nos. 1-3, pp. 183-190, 2002.
-
(2002)
Pattern Recognit. Lett.
, vol.23
, Issue.1-3
, pp. 183-190
-
-
Yu, S.1
De Backer, S.2
Scheunders, P.3
-
52
-
-
78049264379
-
Local manifold learning-basednearestneighbor for hyperspectral image classification
-
Nov.
-
L. Ma, M. M. Crawford, and J. Tian, "Local manifold learning-basednearestneighbor for hyperspectral image classification", IEEE Trans. Geosci. Remote Sens., vol. 48, no. 11, pp. 4099-4109, Nov. 2010.
-
(2010)
IEEE Trans. Geosci. Remote Sens.
, vol.48
, Issue.11
, pp. 4099-4109
-
-
Ma, L.1
Crawford, M.M.2
Tian, J.3
-
53
-
-
67949115614
-
Spectral-spatial classification of hyperspectral imagery based on partitional clustering techniques
-
Aug.
-
Y. Tarabalka, J. A. Benediktsson, and J. Chanussot, "Spectral-spatial classification of hyperspectral imagery based on partitional clustering techniques", IEEE Trans. Geosci. Remote Sens., vol. 47, no. 8, pp. 2973-2987, Aug. 2009.
-
(2009)
IEEE Trans. Geosci. Remote Sens.
, vol.47
, Issue.8
, pp. 2973-2987
-
-
Tarabalka, Y.1
Benediktsson, J.A.2
Chanussot, J.3
-
54
-
-
56849127860
-
Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles
-
Nov.
-
M. Fauvel, J. A. Benediktsson, J. Chanussot, and J. R. Sveinsson, "Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles", IEEE Trans. Geosci. Remote Sens., vol. 46, no. 11, pp. 3804-3814, Nov. 2008.
-
(2008)
IEEE Trans. Geosci. Remote Sens.
, vol.46
, Issue.11
, pp. 3804-3814
-
-
Fauvel, M.1
Benediktsson, J.A.2
Chanussot, J.3
Sveinsson, J.R.4
-
55
-
-
84859048363
-
Spectral-spatial classification of hyperspectral data based on a stochastic minimum spanning forest approach
-
Apr.
-
K. Bernard, Y. Tarabalka, J. Angulo, J. Chanussot, and J. A. Benediktsson, "Spectral-spatial classification of hyperspectral data based on a stochastic minimum spanning forest approach", IEEE Trans. Image Process., vol. 21, no. 4, pp. 2008-2021, Apr. 2012.
-
(2012)
IEEE Trans. Image Process.
, vol.21
, Issue.4
, pp. 2008-2021
-
-
Bernard, K.1
Tarabalka, Y.2
Angulo, J.3
Chanussot, J.4
Benediktsson, J.A.5
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