-
1
-
-
70350347100
-
Unsupervised change detection in satellite images using principal component analysis and K-means clustering
-
Oct
-
T. Celik, "Unsupervised change detection in satellite images using principal component analysis and K-means clustering," IEEE Trans. Geosci. Remote Sens. Lett., vol. 6, no. 4, pp. 772-776, Oct. 2009.
-
(2009)
IEEE Trans. Geosci. Remote Sens. Lett.
, vol.6
, Issue.4
, pp. 772-776
-
-
Celik, T.1
-
2
-
-
67649403091
-
Single point iterative weighted fuzzy C-means clustering algorithm for remote sensing image segmentation
-
Nov.
-
J. Fan, M. Han, and J. Wang, "Single point iterative weighted fuzzy C-means clustering algorithm for remote sensing image segmentation," Pattern Recognit., vol. 42, no. 11, pp. 2527-2540, Nov. 2009.
-
(2009)
Pattern Recognit.
, vol.42
, Issue.11
, pp. 2527-2540
-
-
Fan, J.1
Han, M.2
Wang, J.3
-
3
-
-
78649927352
-
Assessment of a modified version of the em algorithm for remote sensing data classification
-
Sao Paulo, Brazil
-
T. S. Korting, L. V. Dutra, L. M. G. Fonseca, and G. J. Erthal, "Assessment of a modified version of the EM algorithm for remote sensing data classification," in Proc. 15th CIARP, Sao Paulo, Brazil, 2010, pp. 476-483.
-
(2010)
Proc. 15th CIARP
, pp. 476-483
-
-
Korting, T.S.1
Dutra, L.V.2
Fonseca, L.M.G.3
Erthal, G.J.4
-
4
-
-
33847172327
-
Clustering by passing messages between data points
-
DOI 10.1126/science.1136800
-
B. J. Frey and D. Dueck, "Clustering by passing messages between data points," Science, vol. 315, no. 5814, pp. 972-976, Jan. 2007. (Pubitemid 46281181)
-
(2007)
Science
, vol.315
, Issue.5814
, pp. 972-976
-
-
Frey, B.J.1
Dueck, D.2
-
6
-
-
38949137845
-
Response to comment on 'clustering by passing messages between data points'
-
DOI 10.1126/science.1151268
-
B. J. Frey and D. Dueck, "Response to comment on 'Clustering by passing messages between data points'," Science, vol. 319, no. 5864, p. 726d, Feb. 2008. (Pubitemid 351225877)
-
(2008)
Science
, vol.319
, Issue.5864
-
-
Frey, B.J.1
Dueck, D.2
-
7
-
-
79951899720
-
Text clustering with seeds affinity propagation
-
Apr
-
R. Guan, X. Shi, M. Marchese, C. Yang, and Y. Liang, "Text clustering with seeds affinity propagation," IEEE Trans. Knowl. Data Eng., vol. 23, no. 4, pp. 627-637, Apr. 2011.
-
(2011)
IEEE Trans. Knowl. Data Eng.
, vol.23
, Issue.4
, pp. 627-637
-
-
Guan, R.1
Shi, X.2
Marchese, M.3
Yang, C.4
Liang, Y.5
-
8
-
-
77952585968
-
A fuzzy-statistics-based affinity propagation technique for clustering in multi-spectral images
-
Jun
-
C. Yang, L. Bruzzone, F. Sun, L. Lu, R. Guan, and Y. Liang, "A fuzzy-statistics-based affinity propagation technique for clustering in multi-spectral images," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 6, pp. 2647-2659, Jun. 2010.
-
(2010)
IEEE Trans. Geosci. Remote Sens.
, vol.48
, Issue.6
, pp. 2647-2659
-
-
Yang, C.1
Bruzzone, L.2
Sun, F.3
Lu, L.4
Guan, R.5
Liang, Y.6
-
10
-
-
67649763976
-
An efficient active learning algorithm with knowledge transfer for hyperspectral data analysis
-
G. Jun and J. Ghosh, "An efficient active learning algorithm with knowledge transfer for hyperspectral data analysis," in Proc. IEEE Int. Geosci. Remote Sens. Symp., 2008, pp. 52-55.
-
(2008)
Proc. IEEE Int. Geosci. Remote Sens. Symp.
, pp. 52-55
-
-
Jun, G.1
Ghosh, J.2
-
12
-
-
84862303635
-
Unsupervised and semi-supervised clustering: A brief survey
-
N. Grira, M. Crucianu, and N. Boujemaa, "Unsupervised and semi-supervised clustering: A brief survey," in Proc. 6th MUSCLE, 2005, pp. 1-12.
-
(2005)
Proc. 6th MUSCLE
, pp. 1-12
-
-
Grira, N.1
Crucianu, M.2
Boujemaa, N.3
-
13
-
-
33745456231
-
-
Madison Dept. Comput. Sci., Univ. Wisconsin, Madison, WI, TR-1530
-
X. Zhu, "Semi-supervised learning literature survey," Madison Dept. Comput. Sci., Univ. Wisconsin, Madison, WI, TR-1530, 2005.
-
(2005)
Semi-supervised Learning Literature Survey
-
-
Zhu, X.1
-
14
-
-
67649789073
-
Semi-supervised remote sensing image classification based on clustering and the mean map kernel
-
L. Gomez-Chova, L. Bruzzone, G. Camps-Valls, and J. Calpe-Maravilla, "Semi-supervised remote sensing image classification based on clustering and the mean map kernel," in Proc. IEEE Int. Geosci. Remote Sens. Symp., 2008, pp. 391-394.
-
(2008)
Proc. IEEE Int. Geosci. Remote Sens. Symp.
, pp. 391-394
-
-
Gomez-Chova, L.1
Bruzzone, L.2
Camps-Valls, G.3
Calpe-Maravilla, J.4
-
15
-
-
71449084102
-
Semi-supervised segmentation of multispectral remote sensing image based on spectral clustering
-
Yichang, China
-
X. Zhang, T. Wang, L. Jiao, and C. Yang, "Semi-supervised segmentation of multispectral remote sensing image based on spectral clustering," in Proc. MIPPR, Yichang, China, 2009, pp. 74941F-1-74941F-6.
-
(2009)
Proc. MIPPR
-
-
Zhang, X.1
Wang, T.2
Jiao, L.3
Yang, C.4
-
16
-
-
78650844031
-
Semantic supervised clustering approach to classify land cover in remotely sensed images
-
M. Torres, M. Moreno, R. M. Mendez, R. Quintero, and G. Guzman, "Semantic supervised clustering approach to classify land cover in remotely sensed images," Signal Processing Multimedia, vol. 123, pp. 68-77, 2010.
-
(2010)
Signal Processing Multimedia
, vol.123
, pp. 68-77
-
-
Torres, M.1
Moreno, M.2
Mendez, R.M.3
Quintero, R.4
Guzman, G.5
-
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
-
18
-
-
34249810956
-
Semisupervised classification of hyperspectral images by SVMs optimized in the primal
-
DOI 10.1109/TGRS.2007.894550
-
M. Chi and L. Bruzzone, "Semi-supervised classification of hyperspectral images by SVMs optimized in the primal," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 6, pp. 1870-1880, Jun. 2007. (Pubitemid 46853295)
-
(2007)
IEEE Transactions on Geoscience and Remote Sensing
, vol.45
, Issue.6
, pp. 1870-1880
-
-
Chi, M.1
Bruzzone, L.2
-
19
-
-
42449121174
-
Semisupervised support vector machines for classification of hyperspectral remote sensing images
-
C.-I. Chang, Ed. New York: Wiley ch. 11
-
L. Bruzzone, M. Chi, and M. Marconcini, "Semisupervised support vector machines for classification of hyperspectral remote sensing images," in Hyperspectral Data Exploitation: Theory and Applications, C.-I. Chang, Ed. New York: Wiley, 2007, ch. 11, pp. 275-311.
-
(2007)
Hyperspectral Data Exploitation: Theory and Applications
, pp. 275-311
-
-
Bruzzone, L.1
Chi, M.2
Marconcini, M.3
-
20
-
-
65049090023
-
A composite semisupervised SVM for classification of hyperspectral images
-
Apr
-
M. Marconcini, G. Camps-Valls, and L. Bruzzone, "A composite semisupervised SVM for classification of hyperspectral images," IEEE Trans. Geosci. Remote Sens. Lett., vol. 6, no. 2, pp. 234-238, Apr. 2009.
-
(2009)
IEEE Trans. Geosci. Remote Sens. Lett.
, vol.6
, Issue.2
, pp. 234-238
-
-
Marconcini, M.1
Camps-Valls, G.2
Bruzzone, L.3
-
22
-
-
35548937746
-
Semi-supervised learning of mixture models and Bayesian networks
-
F. G. Cozman, I. Cohen, and M. C. Cirelo, "Semi-supervised learning of mixture models and Bayesian networks," in Proc. 20th Int. Conf. Mach. Learn., 2003, pp. 1-9.
-
(2003)
Proc. 20th Int. Conf. Mach. Learn.
, pp. 1-9
-
-
Cozman, F.G.1
Cohen, I.2
Cirelo, M.C.3
-
24
-
-
0035521110
-
Learn++: An incremental learning algorithm for supervised neural networks
-
DOI 10.1109/5326.983933, PII S1094697701112617, Knowledge Management
-
R. Polikar, L. Udpa, L. S. Udpa, and V. Honavar, "Learn++: An incremental learning algorithm for supervised neural networks," IEEE Trans. Syst., Man Cybern. C, Appl. Rev., vol. 31, no. 4, pp. 497-508, Nov. 2001. (Pubitemid 34191829)
-
(2001)
IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews
, vol.31
, Issue.4
, pp. 497-508
-
-
Polikar, R.1
Udpa, L.2
Udpa, S.S.3
Honavar, V.4
-
25
-
-
56149106684
-
An experimental study of EM-based algorithms for semi-supervised learning in audio classification
-
Washington, DC
-
P. J. Moreno and S. Agarwal, "An experimental study of EM-based algorithms for semi-supervised learning in audio classification," in Proc. ICML, Washington, DC, 2003, pp. 1-7.
-
(2003)
Proc. ICML
, pp. 1-7
-
-
Moreno, P.J.1
Agarwal, S.2
-
26
-
-
35348895580
-
Semi-supervised self-training of object detection models
-
Washington, DC
-
C. Rosenberg, M. Hebert, and H. Schneiderman, "Semi-supervised self-training of object detection models," in Proc. 7th IEEE Workshop Appl. Comput. Vis., Washington, DC, 2005, pp. 29-36.
-
(2005)
Proc. 7th IEEE Workshop Appl. Comput. Vis
, pp. 29-36
-
-
Rosenberg, C.1
Hebert, M.2
Schneiderman, H.3
-
27
-
-
34047241118
-
A new data selection principle for semi-supervised incremental learning
-
DOI 10.1109/ICPR.2006.115, 1699321, Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006
-
R. Zhang and A. I. Rudnicky, "A new data selection principle for semi-supervised incremental learning," in Proc. 18th Int. Conf. Pattern Recog., 2006, pp. 780-783. (Pubitemid 46532315)
-
(2006)
Proceedings - International Conference on Pattern Recognition
, vol.2
, pp. 780-783
-
-
Zhang, R.1
Rudnicky, A.I.2
-
28
-
-
40649128119
-
Nonlinear neural networks: Principles, mechanisms and architectures
-
S. Grossberg, "Nonlinear neural networks: Principles, mechanisms and architectures," Neural Netw., vol. 1, no. 1, pp. 17-61, 1988.
-
(1988)
Neural Netw.
, vol.1
, Issue.1
, pp. 17-61
-
-
Grossberg, S.1
-
29
-
-
0035246564
-
Factor graphs and the sum-product algorithm
-
DOI 10.1109/18.910572, PII S0018944801007210
-
F. Kschischang, B. J. Frey, and H. A. Loeliger, "Factor graphs and the sum-product algorithm," IEEE Trans. Inf. Theory, vol. 47, no. 2, pp. 498-519, Feb. 2001. (Pubitemid 32318087)
-
(2001)
IEEE Transactions on Information Theory
, vol.47
, Issue.2
, pp. 498-519
-
-
Kschischang, F.R.1
Frey, B.J.2
Loeliger, H.-A.3
-
30
-
-
67651015658
-
A binary variable model for affinity propagation
-
Jun.
-
I. Givoni and B. J. Frey, "A binary variable model for affinity propagation," Neural Comput., vol. 21, no. 6, pp. 1589-1600, Jun. 2009.
-
(2009)
Neural Comput.
, vol.21
, Issue.6
, pp. 1589-1600
-
-
Givoni, I.1
Frey, B.J.2
-
33
-
-
84862270727
-
Semi-supervised affinity propagation with instance-level constraints
-
I. E. Givoni and B. J. Frey, "Semi-supervised affinity propagation with instance-level constraints," in Proc. 12th Int. Conf. AISTATS, 2009, pp. 161-168.
-
(2009)
Proc. 12th Int. Conf. AISTATS
, pp. 161-168
-
-
Givoni, I.E.1
Frey, B.J.2
-
34
-
-
0042377235
-
Constrained k-means clustering with background knowledge
-
K. Wagstaff, C. Cardie, S. Rogers, and S. Schrödl, "Constrained k-means clustering with background knowledge," in Proc. 18th Int. Conf. Mach. Learn., 2001, pp. 577-584.
-
(2001)
Proc. 18th Int. Conf. Mach. Learn.
, pp. 577-584
-
-
Wagstaff, K.1
Cardie, C.2
Rogers, S.3
Schrödl, S.4
-
35
-
-
2542567719
-
Semi-supervised clustering by seeding
-
S. Basu, A. Banerjee, and R. Mooney, "Semi-supervised clustering by seeding," in Proc. 19th Int. Conf. Mach. Learn., 2002, pp. 27-34.
-
(2002)
Proc. 19th Int. Conf. Mach. Learn.
, pp. 27-34
-
-
Basu, S.1
Banerjee, A.2
Mooney, R.3
-
36
-
-
14344264451
-
Integrating constraints and metric learning in semi-supervised clustering
-
M. Bilenko, S. Basu, and R. J. Mooney, "Integrating constraints and metric learning in semi-supervised clustering," in Proc. 21st Int. Conf. Mach. Learn, 2004, pp. 1-11.
-
(2004)
Proc. 21st Int. Conf. Mach. Learn
, pp. 1-11
-
-
Bilenko, M.1
Basu, S.2
Mooney, R.J.3
-
37
-
-
84864030708
-
Metric learning by collapsing classes
-
Y. Weiss, B. Schölkopf, and J. Platt, Eds. Cambridge, MA: MIT Press
-
A. Globerson and S. Roweis, "Metric learning by collapsing classes," in Advance in Neural Information Processing System, vol. 18, Y. Weiss, B. Schölkopf, and J. Platt, Eds. Cambridge, MA: MIT Press, 2006, pp. 451-458.
-
(2006)
Advance in Neural Information Processing System
, vol.18
, pp. 451-458
-
-
Globerson, A.1
Roweis, S.2
-
38
-
-
84880891566
-
Improving embeddings by flexible exploitation of side information
-
M. M. Veloso, Ed.
-
A. Ghodsi, D. F. Wilkinson, and F. Southey, "Improving embeddings by flexible exploitation of side information," in Proc. Int. Conf. Artif. Intell., M. M. Veloso, Ed., 2007, pp. 810-816.
-
(2007)
Proc. Int. Conf. Artif. Intell
, pp. 810-816
-
-
Ghodsi, A.1
Wilkinson, D.F.2
Southey, F.3
-
40
-
-
50549095916
-
Detection of unexploded ordnance via efficient semisupervised and active learning
-
Sep
-
Q. Liu, X. Liao, and L. Carin, "Detection of unexploded ordnance via efficient semisupervised and active learning," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 9, pp. 2558-2567, Sep. 2008.
-
(2008)
IEEE Trans. Geosci. Remote Sens.
, vol.46
, Issue.9
, pp. 2558-2567
-
-
Liu, Q.1
Liao, X.2
Carin, L.3
-
41
-
-
79955632976
-
A fast cluster-assumption based active-learning technique for classification of remote sensing images
-
May
-
S. Patra and L. Bruzzone, "A fast cluster-assumption based active-learning technique for classification of remote sensing images," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 5, pp. 1617-1626, May 2011.
-
(2011)
IEEE Trans. Geosci. Remote Sens.
, vol.49
, Issue.5
, pp. 1617-1626
-
-
Patra, S.1
Bruzzone, L.2
-
42
-
-
80053562930
-
Hyperspectral image segmentation using a new Bayesian approach with active learning
-
Oct
-
J. Li, J. M. Bioucas-Dias, and A. Plaza, "Hyperspectral image segmentation using a new Bayesian approach with active learning," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 10, pp. 3947-3960, Oct. 2011.
-
(2011)
IEEE Trans. Geosci. Remote Sens.
, vol.49
, Issue.10
, pp. 3947-3960
-
-
Li, J.1
Bioucas-Dias, J.M.2
Plaza, A.3
-
43
-
-
36348981725
-
Online learning with novelty detection in human-guided road tracking
-
DOI 10.1109/TGRS.2007.900697
-
J. Zhou, L. Cheng, and W. F. Bischof, "Online learning with novelty detection in human-guided road tracking," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 12, pp. 3967-3977, Dec. 2007. (Pubitemid 350157833)
-
(2007)
IEEE Transactions on Geoscience and Remote Sensing
, vol.45
, Issue.12
, pp. 3967-3977
-
-
Zhou, J.1
Cheng, L.2
Bischof, W.F.3
-
45
-
-
34848927515
-
An enhanced self-organizing incremental neural network for online unsupervised learning
-
Oct.
-
F. R. Shen, O. Tomotaka, and H. Osamu, "An enhanced self-organizing incremental neural network for online unsupervised learning," Neural Netw., vol. 20, no. 8, pp. 893-903, Oct. 2007.
-
(2007)
Neural Netw.
, vol.20
, Issue.8
, pp. 893-903
-
-
Shen, F.R.1
Tomotaka, O.2
Osamu, H.3
-
46
-
-
59649099114
-
Incremental learning of dynamic fuzzy neural networks for accurate system modeling
-
Apr.
-
X. S. Deng and X. Z. Wang, "Incremental learning of dynamic fuzzy neural networks for accurate system modeling," Fuzzy Sets Syst., vol. 160, no. 7, pp. 972-987, Apr. 2009.
-
(2009)
Fuzzy Sets Syst.
, vol.160
, Issue.7
, pp. 972-987
-
-
Deng, X.S.1
Wang, X.Z.2
-
47
-
-
71549135243
-
An incremental learning algorithm based on support vector machine for pattern recognition
-
L. Zou, T. Zhang, and Z. Cao, "An incremental learning algorithm based on support vector machine for pattern recognition," in Proc. SPIE, 2009, vol. 7496, pp. 74961H-1-74961H-8.
-
(2009)
Proc. SPIE
, vol.7496
-
-
Zou, L.1
Zhang, T.2
Cao, Z.3
-
48
-
-
67349086151
-
Incremental support vector machine learning in the primal and applications
-
Jun
-
Z. Z. Liang and Y. F. Li, "Incremental support vector machine learning in the primal and applications," Neurocomputing, vol. 72, no. 10-12, pp. 2249-2258, Jun. 2009.
-
(2009)
Neurocomputing
, vol.72
, Issue.10-12
, pp. 2249-2258
-
-
Liang, Z.Z.1
Li, Y.F.2
-
49
-
-
17644425298
-
Segmentation of remote-sensing images by incremental neural network
-
DOI 10.1016/j.patrec.2004.10.004, PII S0167865504003113
-
M. N. Kurnaz, Z. Dokur, and T. Ölmez, "Segmentation of remote-sensing images by incremental neural network," Pattern Recognit. Lett., vol. 26, no. 8, pp. 1096-1104, Jun. 2005. (Pubitemid 40556478)
-
(2005)
Pattern Recognition Letters
, vol.26
, Issue.8
, pp. 1096-1104
-
-
Kurnaz, M.N.1
Dokur, Z.2
Olmez, T.3
-
50
-
-
80052866161
-
Incremental and decremental support vector machine learning
-
Cambridge, MA: MIT Press
-
G. Cauwenberghs and T. Poggio, "Incremental and decremental support vector machine learning," in Advance in Neural Information Processing System, vol. 13. Cambridge, MA: MIT Press, 2001.
-
(2001)
Advance in Neural Information Processing System
, vol.13
-
-
Cauwenberghs, G.1
Poggio, T.2
-
51
-
-
79960753941
-
Online SVM learning: From classification to data description and back
-
Toulouse, France
-
D. M. J. Tax and P. Laskov, "Online SVM learning: From classification to data description and back," in Proc. IEEE Workshop Neural Netw. Signal Process., Toulouse, France, 2003, pp. 499-508.
-
(2003)
Proc. IEEE Workshop Neural Netw. Signal Process
, pp. 499-508
-
-
Tax, D.M.J.1
Laskov, P.2
-
52
-
-
26444562687
-
-
Dept. Comput. Sci., Trinity College, Dublin, Ireland, Tech. Rep. TCD-CS-2004-15
-
A. Tsymbal, "The problem of concept drift: Definitions and related work," Dept. Comput. Sci., Trinity College, Dublin, Ireland, Tech. Rep. TCD-CS-2004-15, 2004.
-
(2004)
The Problem of Concept Drift: Definitions and Related Work
-
-
Tsymbal, A.1
-
53
-
-
51449093544
-
Face recognition by artificial vision systems: A cognitive perspective
-
B. Raducanu and J. Vitrià, "Face recognition by artificial vision systems: A cognitive perspective," Int. J. Pattern Recognit. Artif. Intell., vol. 22, no. 5, pp. 899-913, 2008.
-
(2008)
Int. J. Pattern Recognit. Artif. Intell.
, vol.22
, Issue.5
, pp. 899-913
-
-
Raducanu, B.1
Vitrià, J.2
-
54
-
-
3042661357
-
Thematic map comparison: Evaluating the statistical significance of differences in classification accuracy
-
G. M. Foody, "Thematic map comparison: Evaluating the statistical significance of differences in classification accuracy," Photogramm. Eng. Remote Sens., vol. 70, no. 5, pp. 627-633, 2004. (Pubitemid 39081774)
-
(2004)
Photogrammetric Engineering and Remote Sensing
, vol.70
, Issue.5
, pp. 627-633
-
-
Foody, G.M.1
-
55
-
-
79951897368
-
Large scale of e-learning resources clustering with parallel affinity propagation
-
Aug.
-
W. H. Wang, H. W. Zhang, F. Wu, and Y. T. Zhuang, "Large scale of e-learning resources clustering with parallel affinity propagation," in Proc. Int. Conf. Hybrid Learn., Aug. 2008, pp. 1-10.
-
(2008)
Proc. Int. Conf. Hybrid Learn
, pp. 1-10
-
-
Wang, W.H.1
Zhang, H.W.2
Wu, F.3
Zhuang, Y.T.4
|