-
1
-
-
77951973998
-
Recent advances in remote sensing image processing
-
Cairo, Egypt, 7-10 November
-
Tuia, D.; Camps-Valls, G. Recent advances in remote sensing image processing. In Proceedings of International Conference on Image Processing, Cairo, Egypt, 7-10 November 2009; pp. 3705-3708.
-
(2009)
Proceedings of International Conference on Image Processing
, pp. 3705-3708
-
-
Tuia, D.1
Camps-Valls, G.2
-
3
-
-
84920508943
-
Automatic analysis and mining of remote sensing big data
-
Li, D.; Zhang, L.; Xia, G.-S. Automatic analysis and mining of remote sensing big data. Acta Geod. Cartogr. Sin. 2014, 43, 1211-1216.
-
(2014)
Acta Geod. Cartogr. Sin
, vol.43
, pp. 1211-1216
-
-
Li, D.1
Zhang, L.2
Xia, G.-S.3
-
4
-
-
0025402179
-
Fuzzy supervised classification of remote sensing images
-
Wang, F. Fuzzy supervised classification of remote sensing images. IEEE Trans. Geos. Remote Sens. 1990, 28, 194-201.
-
(1990)
IEEE Trans. Geos. Remote Sens
, vol.28
, pp. 194-201
-
-
Wang, F.1
-
5
-
-
34247466658
-
Multiobjective genetic clustering for pixel classification in remote sensing imagery
-
Bandyopadhyay, S.; Maulik, U.; Mukhopadhyay, A. Multiobjective genetic clustering for pixel classification in remote sensing imagery. IEEE Trans. Geos. Remote Sens. 2007, 45, 1506-1511.
-
(2007)
IEEE Trans. Geos. Remote Sens
, vol.45
, pp. 1506-1511
-
-
Bandyopadhyay, S.1
Maulik, U.2
Mukhopadhyay, A.3
-
6
-
-
79951950272
-
Support vector machines in remote sensing: A review
-
Mountrakis, G.; Im, J.; Ogole, C. Support vector machines in remote sensing: A review. ISPRS J. Photogramm. Remote Sens. 2011, 66, 247-259.
-
(2011)
ISPRS J. Photogramm. Remote Sens
, vol.66
, pp. 247-259
-
-
Mountrakis, G.1
Im, J.2
Ogole, C.3
-
7
-
-
14644388144
-
Learning Bayesian classifiers for scene classification with a visual grammar
-
Aksoy, S.; Koperski, K.; Tusk, C.; Marchisio, G.; Tilton, J.C. Learning Bayesian classifiers for scene classification with a visual grammar. IEEE Trans. Geos. Remote Sens. 2005, 43, 581-589.
-
(2005)
IEEE Trans. Geos. Remote Sens
, vol.43
, pp. 581-589
-
-
Aksoy, S.1
Koperski, K.2
Tusk, C.3
Marchisio, G.4
Tilton, J.C.5
-
8
-
-
0344972104
-
Decision tree classification of land cover from remotely sensed data
-
Friedl, M.; Brodley, C. Decision tree classification of land cover from remotely sensed data. Remote Sens. Environ. 1997, 61, 399-409.
-
(1997)
Remote Sens. Environ
, vol.61
, pp. 399-409
-
-
Friedl, M.1
Brodley, C.2
-
9
-
-
82655173888
-
Remote sensing image classification based on neural network ensemble algorithm
-
Han, M.; Zhu, X.; Yao, W. Remote sensing image classification based on neural network ensemble algorithm. Neurocomputing 2012, 78, 133-138.
-
(2012)
Neurocomputing
, vol.78
, pp. 133-138
-
-
Han, M.1
Zhu, X.2
Yao, W.3
-
10
-
-
84897445480
-
Spatial and temporal classification of synthetic satellite imagery: Land cover mapping and accuracy validation
-
Xu, Y.; Huang, B. Spatial and temporal classification of synthetic satellite imagery: Land cover mapping and accuracy validation. Geosp. Inf. Sci. 2014, 17, 1-7.
-
(2014)
Geosp. Inf. Sci
, vol.17
, pp. 1-7
-
-
Xu, Y.1
Huang, B.2
-
11
-
-
67651166635
-
A novel context-sensitive semisupervised SVM classifier robust to mislabeled training samples
-
Bruzzone, L.; Persello, C. A novel context-sensitive semisupervised SVM classifier robust to mislabeled training samples. IEEE Trans. Geos. Remote Sens. 2009, 47, 2142-2154.
-
(2009)
IEEE Trans. Geos. Remote Sens
, vol.47
, pp. 2142-2154
-
-
Bruzzone, L.1
Persello, C.2
-
12
-
-
84892431839
-
Bayesian active remote sensing image classification
-
Ruiz, P.; Mateos, J.; Camps-Valls, G.; Molina, R.; Katsaggelos, A.K. Bayesian active remote sensing image classification. IEEE Trans. Geos. Remote Sens. 2014, 52, 2186-2196.
-
(2014)
IEEE Trans. Geos. Remote Sens
, vol.52
, pp. 2186-2196
-
-
Ruiz, P.1
Mateos, J.2
Camps-Valls, G.3
Molina, R.4
Katsaggelos, A.K.5
-
13
-
-
84867060971
-
Semisupervised classification of remote sensing images with active queries
-
Munoz-Mari, J.; Tuia, D.; Camps-Valls, G. Semisupervised classification of remote sensing images with active queries. IEEE Trans. Geos. Remote Sens. 2012, 50, 3751-3763.
-
(2012)
IEEE Trans. Geos. Remote Sens
, vol.50
, pp. 3751-3763
-
-
Munoz-Mari, J.1
Tuia, D.2
Camps-Valls, G.3
-
14
-
-
33750288047
-
-
Springer Berlin Heidelberg: Berlin, Germany
-
Davidson, I.; Wagstaff, K.; Basu, S. Measuring Constraint-Set Utility for Partitional Clustering Algorithms; Springer Berlin Heidelberg: Berlin, Germany, 2006; pp. 115-126.
-
(2006)
Measuring Constraint-Set Utility for Partitional Clustering Algorithms
, pp. 115-126
-
-
Davidson, I.1
Wagstaff, K.2
Basu, S.3
-
15
-
-
84927136881
-
-
Morgan and Clay Pool: Long Island, NY, USA
-
Settles, B. Active Learning. Synthesis Lectures on Artificial Intelligence and Machine Learning; Morgan and Clay Pool: Long Island, NY, USA, 2012; Volume 6, pp. 1-114.
-
(2012)
Active Learning. Synthesis Lectures on Artificial Intelligence and Machine Learning
, vol.6
, pp. 1-114
-
-
Settles, B.1
-
16
-
-
84911374191
-
Spectral active clustering of remote sensing images
-
Quebec, QC, Canada, 13-18 July
-
Wang, Z.; Xia, G.-S.; Xiong, C.; Zhang, L. Spectral active clustering of remote sensing images. In Proceedings of IEEE Geoscience and Remote Sensing Symposium, Quebec, QC, Canada, 13-18 July 2014; pp. 1737-1740.
-
(2014)
Proceedings of IEEE Geoscience and Remote Sensing Symposium
, pp. 1737-1740
-
-
Wang, Z.1
Xia, G.-S.2
Xiong, C.3
Zhang, L.4
-
17
-
-
84880361836
-
Tile-level annotation of satellite images using multi-level max-margin discriminative random field
-
Hu, F.; Yang, W.; Chen, J.; Sun, H. Tile-level annotation of satellite images using multi-level max-margin discriminative random field. Remote Sens. 2013, 5, 2275-2291.
-
(2013)
Remote Sens
, vol.5
, pp. 2275-2291
-
-
Hu, F.1
Yang, W.2
Chen, J.3
Sun, H.4
-
18
-
-
85027931914
-
Learning high-level features for satellite image classification with limited labeled samples
-
Yang, W.; Yin, X.; Xia, G.-S. Learning high-level features for satellite image classification with limited labeled samples. IEEE Trans. Geos. Remote Sens. 2015, 53, 4472-4482.
-
(2015)
IEEE Trans. Geos. Remote Sens
, vol.53
, pp. 4472-4482
-
-
Yang, W.1
Yin, X.2
Xia, G.-S.3
-
19
-
-
85027929099
-
Unsupervised feature learning via spectral clustering of multidimensional patches for remotely sensed scene classification
-
Hu, F.; Xia, G.-S.; Wang, Z.; Huang, X.; Zhang, L.; Sun, H. Unsupervised feature learning via spectral clustering of multidimensional patches for remotely sensed scene classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2015, 8, 2015-2030.
-
(2015)
IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens
, vol.8
, pp. 2015-2030
-
-
Hu, F.1
Xia, G.-S.2
Wang, Z.3
Huang, X.4
Zhang, L.5
Sun, H.6
-
20
-
-
75449091209
-
Semantic annotation of satellite images using latent Dirichlet allocation
-
Liénou, M.; Maître, H.; Datcu, M. Semantic annotation of satellite images using latent Dirichlet allocation. IEEE Geos. Remote Sens. Lett. 2010, 7, 28-32.
-
(2010)
IEEE Geos. Remote Sens. Lett
, vol.7
, pp. 28-32
-
-
Liénou, M.1
Maître, H.2
Datcu, M.3
-
21
-
-
80053115195
-
Unsupervised remote sensing image classification using an artificial immune network
-
Zhong, Y.; Zhang, L.; Gong, W. Unsupervised remote sensing image classification using an artificial immune network. Int. J. Remote Sens. 2011, 32, 5461-5483.
-
(2011)
Int. J. Remote Sens
, vol.32
, pp. 5461-5483
-
-
Zhong, Y.1
Zhang, L.2
Gong, W.3
-
22
-
-
84962532387
-
Fast binary coding for satellite image scene classification
-
Milan, Italy, 26-31 July
-
Hu, F.; Wang, Z.; Xia, G.-S.; Zhang, L. Fast binary coding for satellite image scene classification. In Proceedings of IEEE Geoscience and Remote Sensing Symposium, Milan, Italy, 26-31 July 2015.
-
(2015)
Proceedings of IEEE Geoscience and Remote Sensing Symposium
-
-
Hu, F.1
Wang, Z.2
Xia, G.-S.3
Zhang, L.4
-
23
-
-
33747610735
-
Training set size requirements for the classification of a specific class
-
Foody, G.M.; Mathur, A.; Sanchez-Hernandez, C.; Boyd, D.S. Training set size requirements for the classification of a specific class. Remote Sens. Environ. 2006, 104, 1-14.
-
(2006)
Remote Sens. Environ
, vol.104
, pp. 1-14
-
-
Foody, G.M.1
Mathur, A.2
Sanchez-Hernandez, C.3
Boyd, D.S.4
-
24
-
-
79957456032
-
A survey of active learning algorithms for supervised remote sensing image classification
-
Tuia, D.; Volpi, M.; Copa, L.; Kanevski, M.; Munoz-Mari, J. A survey of active learning algorithms for supervised remote sensing image classification. IEEE J. Sel. Top. Signal Proces. 2011, 5, 606-617.
-
(2011)
IEEE J. Sel. Top. Signal Proces
, vol.5
, pp. 606-617
-
-
Tuia, D.1
Volpi, M.2
Copa, L.3
Kanevski, M.4
Munoz-Mari, J.5
-
25
-
-
84927670473
-
Spatial coherence-based batch-mode active learning for remote sensing image classification
-
Shi, Q.; Du, B.; Zhang, L. Spatial coherence-based batch-mode active learning for remote sensing image classification. IEEE Trans. Image Proces. 2015, 24, 2037-2050.
-
(2015)
IEEE Trans. Image Proces
, vol.24
, pp. 2037-2050
-
-
Shi, Q.1
Du, B.2
Zhang, L.3
-
26
-
-
84896833622
-
Patch-based active learning (PtAl) for spectral-spatial classification on hyperspectral data
-
Xu, J.; Hang, R.; Liu, Q. Patch-based active learning (PtAl) for spectral-spatial classification on hyperspectral data. Int. J. Remote Sens. 2014, 35, 1846-1875.
-
(2014)
Int. J. Remote Sens
, vol.35
, pp. 1846-1875
-
-
Xu, J.1
Hang, R.2
Liu, Q.3
-
27
-
-
78650886233
-
Cluster-based active learning for compact image classification
-
Honolulu, HI, USA, 25-30 July
-
Tuia, D.; Kanevski, M.; Marí, J.M.; Camps-Valls, G. Cluster-based active learning for compact image classification. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Honolulu, HI, USA, 25-30 July 2010; pp. 2824-2827.
-
(2010)
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium
, pp. 2824-2827
-
-
Tuia, D.1
Kanevski, M.2
Marí, J.M.3
Camps-Valls, G.4
-
28
-
-
84860338492
-
Detection of land-cover transitions in multitemporal remote sensing images with active-learning-based compound classification
-
Demir, B.; Bovolo, F.; Bruzzone, L. Detection of land-cover transitions in multitemporal remote sensing images with active-learning-based compound classification. IEEE Trans. Geos. Remote Sens. 2012, 50, 1930-1941.
-
(2012)
IEEE Trans. Geos. Remote Sens
, vol.50
, pp. 1930-1941
-
-
Demir, B.1
Bovolo, F.2
Bruzzone, L.3
-
29
-
-
84857046663
-
Remote sensing image segmentation by active queries
-
Tuia, D.; Munoz-Mari, J.; Camps-Valls, G. Remote sensing image segmentation by active queries. Pattern Recogn. 2012, 45, 2180-2192.
-
(2012)
Pattern Recogn
, vol.45
, pp. 2180-2192
-
-
Tuia, D.1
Munoz-Mari, J.2
Camps-Valls, G.3
-
30
-
-
84921031076
-
A novel active learning method in relevance feedback for content-based remote sensing image retrieval
-
Demir, B.; Bruzzone, L. A novel active learning method in relevance feedback for content-based remote sensing image retrieval. IEEE Trans. Geos. Remote Sens. 2015, 53, 2323-2334.
-
(2015)
IEEE Trans. Geos. Remote Sens
, vol.53
, pp. 2323-2334
-
-
Demir, B.1
Bruzzone, L.2
-
31
-
-
67650666721
-
Application of the active learning method to the retrieval of pigment from spectral remote sensing reflectance data
-
Taheri, S.H.; Bagheri S.S.; Fell, F.; Schaale, M.; Fischer, J.; Tavakoli, A.; Preusker, R.; Tajrishy, M.; Vatandoust, M.; Khodaparast, H. Application of the active learning method to the retrieval of pigment from spectral remote sensing reflectance data. Int. J. Remote Sens. 2009, 30, 1045-1065.
-
(2009)
Int. J. Remote Sens
, vol.30
, pp. 1045-1065
-
-
Taheri, S.H.1
Bagheri, S.S.2
Fell, F.3
Schaale, M.4
Fischer, J.5
Tavakoli, A.6
Preusker, R.7
Tajrishy, M.8
Vatandoust, M.9
Khodaparast, H.10
-
32
-
-
79952041537
-
Batch-mode active-learning methods for the interactive classification of remote sensing images
-
Demir, B.; Persello, C.; Bruzzone, L. Batch-mode active-learning methods for the interactive classification of remote sensing images. IEEE Trans. Geos. Remote Sens. 2011, 49, 1014-1031.
-
(2011)
IEEE Trans. Geos. Remote Sens
, vol.49
, pp. 1014-1031
-
-
Demir, B.1
Persello, C.2
Bruzzone, L.3
-
33
-
-
85027937532
-
Active learning with Gaussian process classifier for hyperspectral image classification
-
Sun, S.J.; Zhong, P.; Xiao, H.T.; Wang, R.S. Active learning with Gaussian process classifier for hyperspectral image classification. IEEE Trans. Geos. Remote Sens. 2015, 53, 1746-1760.
-
(2015)
IEEE Trans. Geos. Remote Sens
, vol.53
, pp. 1746-1760
-
-
Sun, S.J.1
Zhong, P.2
Xiao, H.T.3
Wang, R.S.4
-
34
-
-
67651183638
-
Active learning methods for remote sensing image classification
-
Tuia, D.; Ratle, F.; Pacifici, F.; Kanevski, M.F.; Emery, W.J. Active learning methods for remote sensing image classification. IEEE Trans. Geos. Remote Sens. 2009, 47, 2218-2232.
-
(2009)
IEEE Trans. Geos. Remote Sens
, vol.47
, pp. 2218-2232
-
-
Tuia, D.1
Ratle, F.2
Pacifici, F.3
Kanevski, M.F.4
Emery, W.J.5
-
35
-
-
84887449224
-
Spectral active clustering via purification of the k-nearest neighbor graph
-
Lisbon, Portugal, 21-23 July
-
Xiong, C.; Johnson, D.; Corso, J.J. Spectral active clustering via purification of the k-nearest neighbor graph. In Proceedings of European Conference on Data Mining, Lisbon, Portugal, 21-23 July 2012.
-
(2012)
Proceedings of European Conference on Data Mining
-
-
Xiong, C.1
Johnson, D.2
Corso, J.J.3
-
36
-
-
77956026625
-
Active query selection for semi-supervised clustering
-
Tampa, FL, USA, 8-11 December
-
Mallapragada, P.K.; Jin, R.; Jain, A.K. Active query selection for semi-supervised clustering. In Proceedings of the 19th International Conference on Pattern Recognition, Tampa, FL, USA, 8-11 December 2008; pp. 1-4.
-
(2008)
Proceedings of the 19th International Conference on Pattern Recognition
, pp. 1-4
-
-
Mallapragada, P.K.1
Jin, R.2
Jain, A.K.3
-
37
-
-
84900856144
-
Active image clustering with pairwise constraints from humans
-
Biswas, A.; Jacobs, D. Active image clustering with pairwise constraints from humans. Int. J. Comput. Vis. 2014, 108, 133-147.
-
(2014)
Int. J. Comput. Vis
, vol.108
, pp. 133-147
-
-
Biswas, A.1
Jacobs, D.2
-
38
-
-
33745290657
-
Active constrained clustering by examining spectral eigenvectors
-
Singapore, 8-11 October
-
Xu, Q.; Desjardins, M.; Wagstaff, K.L. Active constrained clustering by examining spectral eigenvectors. In Proceedings of the 8th International Conference on Discovery Science, Singapore, 8-11 October 2005; pp. 294-307.
-
(2005)
Proceedings of the 8th International Conference on Discovery Science
, pp. 294-307
-
-
Xu, Q.1
Desjardins, M.2
Wagstaff, K.L.3
-
39
-
-
79951757648
-
Active spectral clustering
-
Sydney, Australia, 14-17 December
-
Wang, X.; Davidson, I. Active spectral clustering. In Proceedings of IEEE 10th International Conference on Data Mining, Sydney, Australia, 14-17 December 2010; pp. 561-568.
-
(2010)
Proceedings of IEEE 10th International Conference on Data Mining
, pp. 561-568
-
-
Wang, X.1
Davidson, I.2
-
40
-
-
85158080410
-
Clustering with Instance-Level Constraints
-
Austin, TX, USA, 30 July-3 August
-
Wagstaff, K.; Cardie, C. Clustering with Instance-Level Constraints. In Proceedings of AAAI-00, Austin, TX, USA, 30 July-3 August 2000; pp. 1097-1097.
-
(2000)
Proceedings of AAAI-00
, pp. 1097-1097
-
-
Wagstaff, K.1
Cardie, C.2
-
41
-
-
9444294778
-
From instance-level constraints to space-level constraints: Making the most of prior knowledge in data clustering
-
Sydney, Australia, 8-12 July
-
Klein, D.; Kamvar, S.D.; Manning, C.D. From instance-level constraints to space-level constraints: Making the most of prior knowledge in data clustering. In Proceedings of the 19th International Conference on Machine Learning, Sydney, Australia, 8-12 July 2002.
-
(2002)
Proceedings of the 19th International Conference on Machine Learning
-
-
Klein, D.1
Kamvar, S.D.2
Manning, C.D.3
-
42
-
-
2942534529
-
Active semi-supervision for pairwise constrained clustering
-
Lake Buena Vista, FL, USA, 22-24 April
-
Basu, S.; Banerjee, A.; Mooney, R.J. Active semi-supervision for pairwise constrained clustering. In Proceedings of the 4th SIAM International Conference on Data Mining, Lake Buena Vista, FL, USA, 22-24 April 2004; pp. 333-334.
-
(2004)
Proceedings of the 4th SIAM International Conference on Data Mining
, pp. 333-334
-
-
Basu, S.1
Banerjee, A.2
Mooney, R.J.3
-
43
-
-
84862284226
-
Active clustering: Robust and efficient hierarchical clustering using adaptively selected similarities
-
Fort Lauderdale, FL, USA, 11-13 April
-
Eriksson, B.; Dasarathy, G.; Singh, A.; Nowak, R.D. Active clustering: Robust and efficient hierarchical clustering using adaptively selected similarities. In Proceedings of International Conference on Artificial Intelligence and Statistics, Fort Lauderdale, FL, USA, 11-13 April 2011; pp. 260-268.
-
(2011)
Proceedings of International Conference on Artificial Intelligence and Statistics
, pp. 260-268
-
-
Eriksson, B.1
Dasarathy, G.2
Singh, A.3
Nowak, R.D.4
-
44
-
-
34548583274
-
A tutorial on spectral clustering
-
Von Luxburg, U. A tutorial on spectral clustering. Stat. Comput. 2007, 17, 395-416.
-
(2007)
Stat. Comput
, vol.17
, pp. 395-416
-
-
Von Luxburg, U.1
-
45
-
-
0041875229
-
On spectral clustering: Analysis and an algorithm
-
Vancouver, BC, Canada, 3-8 December
-
Ng, A.Y.; Jordan, M.I.; Weiss, Y. On spectral clustering: Analysis and an algorithm. In Proceedings of NIPS, Vancouver, BC, Canada, 3-8 December 2001; pp. 849-856.
-
(2001)
Proceedings of NIPS
, pp. 849-856
-
-
Ng, A.Y.1
Jordan, M.I.2
Weiss, Y.3
-
46
-
-
3042535216
-
Distinctive image features from scale-invariant keypoints
-
Lowe, D. Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 2004, 60, 91-110.
-
(2004)
Int. J. Comput. Vis
, vol.60
, pp. 91-110
-
-
Lowe, D.1
-
47
-
-
78650593938
-
Bag-of-visual-words and spatial extensions for land-use classification
-
San Jose, CA, USA, 2-5 November
-
Yang, Y.; Newsam, S. Bag-of-visual-words and spatial extensions for land-use classification. In Proceedings of 18th SIGSPATIAL International Conference on Advances in GIS, San Jose, CA, USA, 2-5 November 2010; pp. 270-279.
-
(2010)
Proceedings of 18th SIGSPATIAL International Conference on Advances in GIS
, pp. 270-279
-
-
Yang, Y.1
Newsam, S.2
-
48
-
-
34247558361
-
Visual categorization with bags of keypoints. workshop Stat
-
Csurka, G.; Dance, C.; Fan, L.; Willamowski, J.; Bray, C. Visual categorization with bags of keypoints. workshop Stat. Learn. Comput. Vis. 2004, 1, 1-2.
-
(2004)
Learn. Comput. Vis
, vol.1
, pp. 1-2
-
-
Csurka, G.1
Dance, C.2
Fan, L.3
Willamowski, J.4
Bray, C.5
-
49
-
-
84893656343
-
Accurate junction detection and characterization in natural images
-
Xia, G.-S.; Delon, J.; Gousseau, Y. Accurate junction detection and characterization in natural images. Int. J. Comput. Vis. 2014, 106, 31-56.
-
(2014)
Int. J. Comput. Vis
, vol.106
, pp. 31-56
-
-
Xia, G.-S.1
Delon, J.2
Gousseau, Y.3
-
50
-
-
84894258625
-
A perception-inspired building index for automatic built-up area detection in high-resolution satellite images
-
Melbourne, Australia, 21-26 July
-
Liu, G.; Xia, G.-S.; Huang, X.; Yang, W.; Zhang, L. A perception-inspired building index for automatic built-up area detection in high-resolution satellite images. In Proceedings of Geoscience and Remote Sensing Symposium, Melbourne, Australia, 21-26 July 2013; pp. 3132-3135.
-
(2013)
Proceedings of Geoscience and Remote Sensing Symposium
, pp. 3132-3135
-
-
Liu, G.1
Xia, G.-S.2
Huang, X.3
Yang, W.4
Zhang, L.5
-
51
-
-
77951252742
-
Shape-based invariant texture indexing
-
Xia, G.-S.; Delon, J.; Gousseau, Y. Shape-based invariant texture indexing. Int. J. Comput. Vis. 2010, 88, 382-403.
-
(2010)
Int. J. Comput. Vis
, vol.88
, pp. 382-403
-
-
Xia, G.-S.1
Delon, J.2
Gousseau, Y.3
-
52
-
-
84919903840
-
Texture analysis with shape co-occurrence patterns
-
Stockholm, Sweden, 24-28 August
-
Liu, G.; Xia, G.-S.; Yang, W.; Zhang, L. Texture analysis with shape co-occurrence patterns. In Proceedings of International Conference on Pattern Recognition (ICPR), Stockholm, Sweden, 24-28 August 2014; pp. 1627-1632.
-
(2014)
Proceedings of International Conference on Pattern Recognition (ICPR)
, pp. 1627-1632
-
-
Liu, G.1
Xia, G.-S.2
Yang, W.3
Zhang, L.4
-
54
-
-
77956550917
-
An analysis of the convergence of graph Laplacians
-
Haifa, Israel, 21-24 June
-
Ting, D.; Huang, L.; Jordan, M. An analysis of the convergence of graph Laplacians. In Proceedings of the 27th International Conference on Machine Learning, Haifa, Israel, 21-24 June 2010.
-
(2010)
Proceedings of the 27th International Conference on Machine Learning
-
-
Ting, D.1
Huang, L.2
Jordan, M.3
-
55
-
-
84863260791
-
Structural high-resolution satellite image indexing
-
Vienna, Austria, 5-7 July
-
Xia, G.-S.; Yang, W.; Delon, J.; Gousseau, Y. Structural high-resolution satellite image indexing. In Proceedings of ISPRS TC VII Symposium-100 Years, Vienna, Austria, 5-7 July 2010; pp. 298-303.
-
(2010)
Proceedings of ISPRS TC VII Symposium-100 Years
, pp. 298-303
-
-
Xia, G.-S.1
Yang, W.2
Delon, J.3
Gousseau, Y.4
-
56
-
-
25144439604
-
-
Addison Wesley: Boston, MA, USA
-
Tan, P.-N.; Steinbach, M.; Kumar, V. Introduction to Data Mining; Addison Wesley: Boston, MA, USA, 2006.
-
(2006)
Introduction to Data Mining
-
-
Tan, P.-N.1
Steinbach, M.2
Kumar, V.3
-
57
-
-
80053369934
-
V-measure: A conditional entropy-based external cluster evaluation measure
-
Rosenberg, A.; Hirschberg, J. V-measure: A conditional entropy-based external cluster evaluation measure. EMNLP-CoNLL ACL 2007, 7, 410-420.
-
(2007)
EMNLP-CoNLL ACL
, vol.7
, pp. 410-420
-
-
Rosenberg, A.1
Hirschberg, J.2
-
58
-
-
77953203541
-
Constrained clustering by spectral kernel learning
-
Kyoto, Japan, 29 September-2 October
-
Li, Z.; Liu, J. Constrained clustering by spectral kernel learning. In Proceedings of International Conference on Computer Vision, Kyoto, Japan, 29 September-2 October 2009; pp. 421-427.
-
(2009)
Proceedings of International Conference on Computer Vision
, pp. 421-427
-
-
Li, Z.1
Liu, J.2
-
59
-
-
84913580146
-
Caffe: Convolutional architecture for fast feature embedding
-
Orlando, FL, USA, 3-7 November
-
Jia, Y.; Shelhamer, E.; Donahue, J.; Karayev, S.; Long, J.; Girshick, R.; Guadarrama, S.; Darrell, T. Caffe: Convolutional architecture for fast feature embedding. In Proceedings of the ACM International Conference on Multimedia, Orlando, FL, USA, 3-7 November 2014; pp. 675-678.
-
(2014)
Proceedings of the ACM International Conference on Multimedia
, pp. 675-678
-
-
Jia, Y.1
Shelhamer, E.2
Donahue, J.3
Karayev, S.4
Long, J.5
Girshick, R.6
Guadarrama, S.7
Darrell, T.8
|