-
1
-
-
84899967600
-
Advances in spectral-spatial classification of hyperspectral images
-
Mar.
-
M. Fauvel, Y. Tarabalka, J. A. Benediktsson, J. Chanussot, and J. C. Tilton, "Advances in spectral-spatial classification of hyperspectral images," Proc. IEEE, vol. 101, no. 3, pp. 652-675, Mar. 2013.
-
(2013)
Proc. IEEE
, vol.101
, Issue.3
, pp. 652-675
-
-
Fauvel, M.1
Tarabalka, Y.2
Benediktsson, J.A.3
Chanussot, J.4
Tilton, J.C.5
-
2
-
-
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
-
3
-
-
85027940869
-
Multimodal classification of remote sensing images: A review and future directions
-
Sep.
-
L. Gómez-Chova, D. Tuia, G. Moser, and G. Camps-Valls, "Multimodal classification of remote sensing images: A review and future directions," Proc. IEEE, vol. 103, no. 9, pp. 1560-1584, Sep. 2015.
-
(2015)
Proc. IEEE
, vol.103
, Issue.9
, pp. 1560-1584
-
-
Gómez-Chova, L.1
Tuia, D.2
Moser, G.3
Camps-Valls, G.4
-
4
-
-
84861161549
-
Very highresolution remote sensing: Challenges and opportunities [point of view]
-
Jun.
-
J. A. Benediktsson, J. Chanussot, and W. M. Moon, "Very highresolution remote sensing: Challenges and opportunities [point of view]," Proc. IEEE, vol. 100, no. 6, pp. 1907-1910, Jun. 2012.
-
(2012)
Proc. IEEE
, vol.100
, Issue.6
, pp. 1907-1910
-
-
Benediktsson, J.A.1
Chanussot, J.2
Moon, W.M.3
-
5
-
-
51949090223
-
In defense of nearest-neighbor based image classification
-
Jun.
-
O. Boiman, E. Shechtman, and M. Irani, "In defense of nearest-neighbor based image classification," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2008, pp. 1-8.
-
(2008)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 1-8
-
-
Boiman, O.1
Shechtman, E.2
Irani, M.3
-
7
-
-
3042535216
-
Distinctive image features from scale-invariant keypoints
-
Nov.
-
D. G. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comput. Vis., vol. 60, no. 2, pp. 91-110, Nov. 2004.
-
(2004)
Int. J. Comput. Vis.
, vol.60
, Issue.2
, pp. 91-110
-
-
Lowe, D.G.1
-
8
-
-
84872249563
-
Linear distance coding for image classification
-
Feb.
-
Z. Wang, J. Feng, S. Yan, and H. Xi, "Linear distance coding for image classification," IEEE Trans. Image Process., vol. 22, no. 2, pp. 537-548, Feb. 2013.
-
(2013)
IEEE Trans. Image Process.
, vol.22
, Issue.2
, pp. 537-548
-
-
Wang, Z.1
Feng, J.2
Yan, S.3
Xi, H.4
-
9
-
-
78149351842
-
Towards optimal naive Bayes nearest neighbor
-
Sep.
-
R. Behmo, P. Marcombes, A. Dalalyan, and V. Prinet, "Towards optimal naive Bayes nearest neighbor," in Proc. Eur. Conf. Comput. Vis., vol. 4. Sep. 2010, pp. 171-184.
-
(2010)
Proc. Eur. Conf. Comput. Vis.
, vol.4
, pp. 171-184
-
-
Behmo, R.1
Marcombes, P.2
Dalalyan, A.3
Prinet, V.4
-
10
-
-
78149339751
-
Image-to-class distance metric learning for image classification
-
Sep.
-
Z. Wang, Y. Hu, and L.-T. Chia, "Image-to-class distance metric learning for image classification," in Proc. Eur. Conf. Comput. Vis., vol. 1. Sep. 2010, pp. 706-719.
-
(2010)
Proc. Eur. Conf. Comput. Vis.
, vol.1
, pp. 706-719
-
-
Wang, Z.1
Hu, Y.2
Chia, L.-T.3
-
11
-
-
84864030708
-
Metric learning by collapsing classes
-
Y. Weiss, P. B. Schölkopf, and J. C. Platt, Eds. Cambridge, MA, USA: MIT Press
-
A. Globerson and S. Roweis, "Metric learning by collapsing classes," in Advances in Neural Information Processing Systems, vol. 18, Y. Weiss, P. B. Schölkopf, and J. C. Platt, Eds. Cambridge, MA, USA: MIT Press, 2006, pp. 451-458.
-
(2006)
Advances in Neural Information Processing Systems
, vol.18
, pp. 451-458
-
-
Globerson, A.1
Roweis, S.2
-
12
-
-
84937544784
-
Adjustment learning and relevant component analysis
-
(Lecture Notes in Computer Science). Berlin, Germany: Springer
-
N. Shental, T. Hertz, D. Weinshall, and M. Pavel, "Adjustment learning and relevant component analysis," in Computer Vision (Lecture Notes in Computer Science). Berlin, Germany: Springer, 2002, pp. 776-792.
-
(2002)
Computer Vision
, pp. 776-792
-
-
Shental, N.1
Hertz, T.2
Weinshall, D.3
Pavel, M.4
-
13
-
-
14344262273
-
Online and batch learning of pseudo-metrics
-
Banff, AB, Canada
-
S. Shalev-Shwartz, Y. Singer, and A. Y. Ng, "Online and batch learning of pseudo-metrics," in Proc. 21st Int. Conf. Mach. Learn., Banff, AB, Canada, 2004, pp. 94-101.
-
(2004)
Proc. 21st Int. Conf. Mach. Learn.
, pp. 94-101
-
-
Shalev-Shwartz, S.1
Singer, Y.2
Ng, A.Y.3
-
14
-
-
84879571292
-
Distance metric learning with application to clustering with side-information
-
E. P. Xing, A. Y. Ng, M. I. Jordan, and S. Russell, "Distance metric learning with application to clustering with side-information," in Proc. Adv. Neural Inf. Process. Syst., 2003, pp. 521-528.
-
(2003)
Proc. Adv. Neural Inf. Process. Syst.
, pp. 521-528
-
-
Xing, E.P.1
Ng, A.Y.2
Jordan, M.I.3
Russell, S.4
-
15
-
-
0003922190
-
-
Hoboken, NJ, USA: Wiley
-
R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification. Hoboken, NJ, USA: Wiley, 2000.
-
(2000)
Pattern Classification
-
-
Duda, R.O.1
Hart, P.E.2
Stork, D.G.3
-
16
-
-
35148876898
-
-
Dept. Comput. Sci. Eng., Michigan State Univ., East Lansing, MI, USA, Tech. Rep. 06-38
-
L. Yang and R. Jin, "Distance metric learning: A comprehensive survey," Dept. Comput. Sci. Eng., Michigan State Univ., East Lansing, MI, USA, Tech. Rep. 06-38, 2006.
-
(2006)
Distance Metric Learning: A Comprehensive Survey
-
-
Yang, L.1
Jin, R.2
-
17
-
-
85032751369
-
Convex optimizations for distance metric learning and pattern classification [applications corner]
-
May
-
K. Q. Weinberger, F. Sha, and L. K. Saul, "Convex optimizations for distance metric learning and pattern classification [applications corner]," IEEE Signal Process. Mag., vol. 27, no. 3, pp. 146-158, May 2010.
-
(2010)
IEEE Signal Process. Mag.
, vol.27
, Issue.3
, pp. 146-158
-
-
Weinberger, K.Q.1
Sha, F.2
Saul, L.K.3
-
19
-
-
0034704229
-
A global geometric framework for nonlinear dimensionality reduction
-
Dec.
-
J. B. Tenenbaum, V. de Silva, and J. C. Langford, "A global geometric framework for nonlinear dimensionality reduction," Science, vol. 290, no. 5500, pp. 2319-2323, Dec. 2000.
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2319-2323
-
-
Tenenbaum, J.B.1
De Silva, V.2
Langford, J.C.3
-
20
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
Dec.
-
S. T. Roweis and L. K. Saul, "Nonlinear dimensionality reduction by locally linear embedding," Science, vol. 290, no. 5500, pp. 2323-2326, Dec. 2000.
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2323-2326
-
-
Roweis, S.T.1
Saul, L.K.2
-
21
-
-
4143089050
-
-
Dept. Statist., Stanford Univ., Stanford, CA, USA, Tech. Rep. 2003-08
-
D. L. Donoho and C. Grimes, "Hessian Eigenmaps: New locally linear embedding techniques for high-dimensional data," Dept. Statist., Stanford Univ., Stanford, CA, USA, Tech. Rep. 2003-08, 2003.
-
(2003)
Hessian Eigenmaps: New Locally Linear Embedding Techniques for High-dimensional Data
-
-
Donoho, D.L.1
Grimes, C.2
-
22
-
-
84911897421
-
High-order distance-based multiview stochastic learning in image classification
-
Dec.
-
J. Yu, Y. Rui, Y. Y. Tang, and D. Tao, "High-order distance-based multiview stochastic learning in image classification," IEEE Trans. Cybern., vol. 44, no. 12, pp. 2431-2442, Dec. 2014.
-
(2014)
IEEE Trans. Cybern.
, vol.44
, Issue.12
, pp. 2431-2442
-
-
Yu, J.1
Rui, Y.2
Tang, Y.Y.3
Tao, D.4
-
23
-
-
85028205588
-
A kernel classification framework for metric learning
-
Sep.
-
F. Wang, W. Zuo, L. Zhang, D. Meng, and D. Zhang, "A kernel classification framework for metric learning," IEEE Trans. Neural Netw. Learn. Syst., vol. 26, no. 9, pp. 1950-1962, Sep. 2015.
-
(2015)
IEEE Trans. Neural Netw. Learn. Syst.
, vol.26
, Issue.9
, pp. 1950-1962
-
-
Wang, F.1
Zuo, W.2
Zhang, L.3
Meng, D.4
Zhang, D.5
-
24
-
-
84905040895
-
Decomposition-based transfer distance metric learning for image classification
-
Sep.
-
Y. Luo, T. Liu, D. Tao, and C. Xu, "Decomposition-based transfer distance metric learning for image classification," IEEE Trans. Image Process., vol. 23, no. 9, pp. 3789-3801, Sep. 2014.
-
(2014)
IEEE Trans. Image Process.
, vol.23
, Issue.9
, pp. 3789-3801
-
-
Luo, Y.1
Liu, T.2
Tao, D.3
Xu, C.4
-
25
-
-
84867403495
-
Semisupervised multiview distance metric learning for cartoon synthesis
-
Nov.
-
J. Yu, M. Wang, and D. Tao, "Semisupervised multiview distance metric learning for cartoon synthesis," IEEE Trans. Image Process., vol. 21, no. 11, pp. 4636-4648, Nov. 2012.
-
(2012)
IEEE Trans. Image Process.
, vol.21
, Issue.11
, pp. 4636-4648
-
-
Yu, J.1
Wang, M.2
Tao, D.3
-
26
-
-
84896316743
-
Hyperspectral remote sensing image subpixel target detection based on supervised metric learning
-
Aug.
-
L. Zhang, L. Zhang, D. Tao, X. Huang, and B. Du, "Hyperspectral remote sensing image subpixel target detection based on supervised metric learning," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 8, pp. 4955-4965, Aug. 2014.
-
(2014)
IEEE Trans. Geosci. Remote Sens
, vol.52
, Issue.8
, pp. 4955-4965
-
-
Zhang, L.1
Zhang, L.2
Tao, D.3
Huang, X.4
Du, B.5
-
27
-
-
84959185419
-
Deep transfer metric learning
-
J. Hu, J. Lu, and Y.-P. Tan, "Deep transfer metric learning," in Proc. Int. Conf. Comput. Vis. Pattern Recognit., 2015, pp. 325-333.
-
(2015)
Proc. Int. Conf. Comput. Vis. Pattern Recognit.
, pp. 325-333
-
-
Hu, J.1
Lu, J.2
Tan, Y.-P.3
-
28
-
-
84880301480
-
Optimized Laplacian SVM with distance metric learning for hyperspectral image classification
-
Jun.
-
Y. Gu and K. Feng, "Optimized Laplacian SVM with distance metric learning for hyperspectral image classification," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 6, no. 3, pp. 1109-1117, Jun. 2013.
-
(2013)
IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens
, vol.6
, Issue.3
, pp. 1109-1117
-
-
Gu, Y.1
Feng, K.2
-
29
-
-
84904725481
-
Semantic preserving distance metric learning and applications
-
Oct.
-
J. Yu, D. Tao, J. Li, and J. Cheng, "Semantic preserving distance metric learning and applications," Inf. Sci., vol. 281, pp. 674-686, Oct. 2014.
-
(2014)
Inf. Sci.
, vol.281
, pp. 674-686
-
-
Yu, J.1
Tao, D.2
Li, J.3
Cheng, J.4
-
30
-
-
84884582871
-
Distance-based image classification: Generalizing to new classes at near-zero cost
-
Nov.
-
T. Mensink, J. Verbeek, F. Perronnin, and G. Csurka, "Distance-based image classification: Generalizing to new classes at near-zero cost," IEEE Trans. Pattern Anal. Mach. Intell., vol. 35, no. 11, pp. 2624-2637, Nov. 2013.
-
(2013)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.35
, Issue.11
, pp. 2624-2637
-
-
Mensink, T.1
Verbeek, J.2
Perronnin, F.3
Csurka, G.4
-
31
-
-
78650593938
-
Bag-of-visual-words and spatial extensions for land-use classification
-
Y. Yang and S. Newsam, "Bag-of-visual-words and spatial extensions for land-use classification," in Proc. ACM Int. Conf. Adv. Geogr. Inf. Syst., 2010, pp. 270-279.
-
(2010)
Proc. ACM Int. Conf. Adv. Geogr. Inf. Syst.
, pp. 270-279
-
-
Yang, Y.1
Newsam, S.2
-
32
-
-
33845572523
-
Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
-
S. Lazebnik, C. Schmid, and J. Ponce, "Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories," in Proc. Int. Conf. Comput. Vis. Pattern Recognit., vol. 2. 2006, pp. 2169-2178.
-
(2006)
Proc. Int. Conf. Comput. Vis. Pattern Recognit.
, vol.2
, pp. 2169-2178
-
-
Lazebnik, S.1
Schmid, C.2
Ponce, J.3
-
33
-
-
84863038460
-
Spatial pyramid co-occurrence for image classification
-
Nov.
-
Y. Yang and S. Newsam, "Spatial pyramid co-occurrence for image classification," in Proc. IEEE Int. Conf. Comput. Vis., Nov. 2011, pp. 1465-1472.
-
(2011)
Proc. IEEE Int. Conf. Comput. Vis.
, pp. 1465-1472
-
-
Yang, Y.1
Newsam, S.2
-
34
-
-
84890425279
-
Unsupervised feature learning for aerial scene classification
-
Jan.
-
A. M. Cheriyadat, "Unsupervised feature learning for aerial scene classification," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 1, pp. 439-451, Jan. 2014.
-
(2014)
IEEE Trans. Geosci. Remote Sens
, vol.52
, Issue.1
, pp. 439-451
-
-
Cheriyadat, A.M.1
-
35
-
-
84908032942
-
Saliency-guided unsupervised feature learning for scene classification
-
Apr.
-
F. Zhang, B. Du, and L. Zhang, "Saliency-guided unsupervised feature learning for scene classification," IEEE Trans. Geosci. Remote Sens., vol. 53, no. 4, pp. 2175-2184, Apr. 2015.
-
(2015)
IEEE Trans. Geosci. Remote Sens
, vol.53
, Issue.4
, pp. 2175-2184
-
-
Zhang, F.1
Du, B.2
Zhang, L.3
-
36
-
-
70450209196
-
Linear spatial pyramid matching using sparse coding for image classification
-
Jun.
-
J. Yang, K. Yu, Y. Gong, and T. Huang, "Linear spatial pyramid matching using sparse coding for image classification," in Proc. IEEE Int. Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2009, pp. 1794-1801.
-
(2009)
Proc. IEEE Int. Conf. Comput. Vis. Pattern Recognit. (CVPR)
, pp. 1794-1801
-
-
Yang, J.1
Yu, K.2
Gong, Y.3
Huang, T.4
-
37
-
-
22944492898
-
Learning with local and global consistency
-
Cambridge, MA, USA: MIT Press
-
D. Zhou, O. Bousquet, T. N. Lal, J. Weston, and B. Schölkopf, "Learning with local and global consistency," in Advances in Neural Information Processing Systems, vol. 16. Cambridge, MA, USA: MIT Press, 2003.
-
(2003)
Advances in Neural Information Processing Systems
, vol.16
-
-
Zhou, D.1
Bousquet, O.2
Lal, T.N.3
Weston, J.4
Schölkopf, B.5
-
38
-
-
84899010839
-
Using the Nyström method to speed up kernel machines
-
Cambridge, MA, USA: MIT Press
-
C. K. I. Williams and M. Seeger, "Using the Nyström method to speed up kernel machines," in Advances in Neural Information Processing Systems. Cambridge, MA, USA: MIT Press, 2001, pp. 682-688.
-
(2001)
Advances in Neural Information Processing Systems
, pp. 682-688
-
-
Williams, C.K.I.1
Seeger, M.2
-
39
-
-
0020102027
-
Least squares quantization in PCM
-
Mar.
-
S. P. Lloyd, "Least squares quantization in PCM," IEEE Trans. Inf. Theory, vol. 28, no. 2, pp. 129-137, Mar. 1982.
-
(1982)
IEEE Trans. Inf. Theory
, vol.28
, Issue.2
, pp. 129-137
-
-
Lloyd, S.P.1
-
40
-
-
84940039372
-
A distributed approach toward discriminative distance metric learning
-
Sep.
-
J. Li, X. Lin, X. Rui, Y. Rui, and D. Tao, "A distributed approach toward discriminative distance metric learning," IEEE Trans. Neural Netw. Learn. Syst., vol. 26, no. 9, pp. 2111-2122, Sep. 2015.
-
(2015)
IEEE Trans. Neural Netw. Learn. Syst.
, vol.26
, Issue.9
, pp. 2111-2122
-
-
Li, J.1
Lin, X.2
Rui, X.3
Rui, Y.4
Tao, D.5
-
41
-
-
36349016757
-
Dimensionality reduction based on clonal selection for hyperspectral imagery
-
Dec.
-
L. Zhang, Y. Zhong, B. Huang, J. Gong, and P. Li, "Dimensionality reduction based on clonal selection for hyperspectral imagery," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 12, pp. 4172-4186, Dec. 2007.
-
(2007)
IEEE Trans. Geosci. Remote Sens
, vol.45
, Issue.12
, pp. 4172-4186
-
-
Zhang, L.1
Zhong, Y.2
Huang, B.3
Gong, J.4
Li, P.5
-
42
-
-
84946780584
-
Active-metric learning for classification of remotely sensed hyperspectral images
-
Apr.
-
E. Pasolli, H. L. Yang, and M. M. Crawford, "Active-metric learning for classification of remotely sensed hyperspectral images," IEEE Trans. Geosci. Remote Sens., vol. 54, no. 4, pp. 1925-1939, Apr. 2016.
-
(2016)
IEEE Trans. Geosci. Remote Sens
, vol.54
, Issue.4
, pp. 1925-1939
-
-
Pasolli, E.1
Yang, H.L.2
Crawford, M.M.3
-
43
-
-
84872918592
-
Geographic image retrieval using local invariant features
-
Feb.
-
Y. Yang and S. Newsam, "Geographic image retrieval using local invariant features," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 2, pp. 818-832, Feb. 2013.
-
(2013)
IEEE Trans. Geosci. Remote Sens
, vol.51
, Issue.2
, pp. 818-832
-
-
Yang, Y.1
Newsam, S.2
-
44
-
-
84896319674
-
Remote sensing image retrieval with global morphological texture descriptors
-
May
-
E. Aptoula, "Remote sensing image retrieval with global morphological texture descriptors," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 5, pp. 3023-3034, May 2014.
-
(2014)
IEEE Trans. Geosci. Remote Sens
, vol.52
, Issue.5
, pp. 3023-3034
-
-
Aptoula, E.1
-
45
-
-
84866675648
-
Assimilating process context information of cellular automata into change detection for monitoring land use changes
-
Sep.
-
X. Li, Y. Zhang, X. Liu, and Y. Chen, "Assimilating process context information of cellular automata into change detection for monitoring land use changes," Int. J. Geogr. Inf. Sci., vol. 26, no. 9, pp. 1667-1687, Sep. 2012.
-
(2012)
Int. J. Geogr. Inf. Sci.
, vol.26
, Issue.9
, pp. 1667-1687
-
-
Li, X.1
Zhang, Y.2
Liu, X.3
Chen, Y.4
-
46
-
-
13444286179
-
Locality preserving projections
-
Cambridge, MA, USA: MIT Press
-
X. He and P. Niyogi, "Locality preserving projections," in Advances in Neural Information Processing Systems, vol. 16. Cambridge, MA, USA: MIT Press, 2004, p. 153.
-
(2004)
Advances in Neural Information Processing Systems
, vol.16
, pp. 153
-
-
He, X.1
Niyogi, P.2
-
47
-
-
85027931914
-
Learning high-level features for satellite image classification with limited labeled samples
-
Aug.
-
W. Yang, X. Yin, and G. S. Xia, "Learning high-level features for satellite image classification with limited labeled samples," IEEE Trans. Geosci. Remote Sens., vol. 53, no. 8, pp. 4472-4482, Aug. 2015.
-
(2015)
IEEE Trans. Geosci. Remote Sens
, vol.53
, Issue.8
, pp. 4472-4482
-
-
Yang, W.1
Yin, X.2
Xia, G.S.3
-
48
-
-
84864036295
-
Efficient sparse coding algorithms
-
H. Lee, A. Battle, R. Raina, and A. Y. Ng, "Efficient sparse coding algorithms," in Proc. Adv. Neural Inf. Process. Syst., 2007, pp. 801-808.
-
(2007)
Proc. Adv. Neural Inf. Process. Syst.
, pp. 801-808
-
-
Lee, H.1
Battle, A.2
Raina, R.3
Ng, A.Y.4
-
49
-
-
84976497733
-
A three-layered graph-based learning approach for remote sensing image retrieval
-
Oct.
-
Y. Wang et al., "A three-layered graph-based learning approach for remote sensing image retrieval," IEEE Trans. Geosci. Remote Sens., vol. 54, no. 10, pp. 6020-6034, Oct. 2016.
-
(2016)
IEEE Trans. Geosci. Remote Sens
, vol.54
, Issue.10
, pp. 6020-6034
-
-
Wang, Y.1
-
50
-
-
85162310599
-
ICA with reconstruction cost for efficient overcomplete feature learning
-
Q. V. Le, A. Karpenko, J. Ngiam, and A. Y. Ng, "ICA with reconstruction cost for efficient overcomplete feature learning," in Proc. NIPS, 2011, pp. 1017-1025.
-
(2011)
Proc. NIPS
, pp. 1017-1025
-
-
Le, Q.V.1
Karpenko, A.2
Ngiam, J.3
Ng, A.Y.4
-
51
-
-
84863260791
-
Structural high-resolution satellite image indexing
-
G.-S. Xia, W. Yang, J. Delon, Y. Gousseau, H. Sun, and H. Maître, "Structural high-resolution satellite image indexing," in Proc. ISPRS TC 7th Symp.-100 Years, vol. 38. 2010, pp. 298-303.
-
(2010)
Proc. ISPRS TC 7th Symp.-100 Years
, vol.38
, pp. 298-303
-
-
Xia, G.-S.1
Yang, W.2
Delon, J.3
Gousseau, Y.4
Sun, H.5
Maître, H.6
-
52
-
-
78650941566
-
Satellite image classification via two-layer sparse coding with biased image representation
-
Jan.
-
D. Dai and W. Yang, "Satellite image classification via two-layer sparse coding with biased image representation," IEEE Geosci. Remote Sens. Lett., vol. 8, no. 1, pp. 173-176, Jan. 2011.
-
(2011)
IEEE Geosci. Remote Sens. Lett.
, vol.8
, Issue.1
, pp. 173-176
-
-
Dai, D.1
Yang, W.2
-
53
-
-
77953705810
-
Flexible manifold embedding: A framework for semi-supervised and unsupervised dimension reduction
-
Jul.
-
F. Nie, D. Xu, I. W. Tsang, and C. Zhang, "Flexible manifold embedding: A framework for semi-supervised and unsupervised dimension reduction," IEEE Trans. Image Process., vol. 19, no. 7, pp. 1921-1932, Jul. 2010.
-
(2010)
IEEE Trans. Image Process.
, vol.19
, Issue.7
, pp. 1921-1932
-
-
Nie, F.1
Xu, D.2
Tsang, I.W.3
Zhang, C.4
-
54
-
-
84930959938
-
Learning a nonnegative sparse graph for linear regression
-
Sep.
-
X. Fang, Y. Xu, X. Li, Z. Lai, and W. K. Wong, "Learning a nonnegative sparse graph for linear regression," IEEE Trans. Image Process., vol. 24, no. 9, pp. 2760-2771, Sep. 2015.
-
(2015)
IEEE Trans. Image Process.
, vol.24
, Issue.9
, pp. 2760-2771
-
-
Fang, X.1
Xu, Y.2
Li, X.3
Lai, Z.4
Wong, W.K.5
-
55
-
-
59649108206
-
Linear manifold regularization for large scale semi-supervised learning
-
V. Sindhwani, P. Niyogi, M. Belkin, and S. Keerthi, "Linear manifold regularization for large scale semi-supervised learning," in Proc. ICML Workshop Learn. Partially Classified Training Data, 2005, pp. 1-4.
-
(2005)
Proc. ICML Workshop Learn. Partially Classified Training Data
, pp. 1-4
-
-
Sindhwani, V.1
Niyogi, P.2
Belkin, M.3
Keerthi, S.4
-
56
-
-
84870517183
-
Discriminating joint feature analysis for multimedia data understanding
-
Dec.
-
Z. Ma, F. Nie, Y. Yang, J. R. R. Uijlings, N. Sebe, and A. G. Hauptmann, "Discriminating joint feature analysis for multimedia data understanding," IEEE Trans. Multimedia, vol. 14, no. 4, pp. 1662-1672, Dec. 2012.
-
(2012)
IEEE Trans. Multimedia
, vol.14
, Issue.4
, pp. 1662-1672
-
-
Ma, Z.1
Nie, F.2
Yang, Y.3
Uijlings, J.R.R.4
Sebe, N.5
Hauptmann, A.G.6
-
57
-
-
49049111209
-
Semi-supervised discriminant analysis
-
Oct.
-
D. Cai, X. He, and J. Han, "Semi-supervised discriminant analysis," in Proc. IEEE Int. Conf. Comput. Vis., Oct. 2007, pp. 1-7.
-
(2007)
Proc. IEEE Int. Conf. Comput. Vis.
, pp. 1-7
-
-
Cai, D.1
He, X.2
Han, J.3
-
58
-
-
39049145967
-
Semi-supervised graph-based hyperspectral image classification
-
Oct.
-
G. Camps-Valls, T. V. B. 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
Marsheva, T.V.B.2
Zhou, D.3
-
59
-
-
85014280392
-
Computing multiple aggregation levels and contextual features for road facilities recognition using mobile laser scanning data
-
Apr.
-
B. Yang, Z. Dong, Y. Liu, F. Liang, and Y. Wang, "Computing multiple aggregation levels and contextual features for road facilities recognition using mobile laser scanning data," ISPRS J. Photogramm. Remote Sens., vol. 126, pp. 180-194, Apr. 2017.
-
(2017)
ISPRS J. Photogramm. Remote Sens
, vol.126
, pp. 180-194
-
-
Yang, B.1
Dong, Z.2
Liu, Y.3
Liang, F.4
Wang, Y.5
|