-
1
-
-
0003922190
-
-
2nd ed.New York, NY, USA: Wiley
-
R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification, 2nd ed.New York, NY, USA: Wiley, 2001.
-
(2001)
Pattern Classification
-
-
Duda, R.O.1
Hart, P.E.2
Stork, D.G.3
-
2
-
-
33644988819
-
A fast kernel-based nonlineardiscriminant analysis for multi-class problems
-
Jun
-
Y. Xu, D. Zhang, Z. Jin, M. Li, and J. Y. Yang, "A fast kernel-based nonlineardiscriminant analysis for multi-class problems," Pattern Recognit.,vol. 39, no. 6, pp. 1026-1033, Jun. 2006.
-
(2006)
Pattern Recognit.
, vol.39
, Issue.6
, pp. 1026-1033
-
-
Xu, Y.1
Zhang, D.2
Jin, Z.3
Li, M.4
Yang, J.Y.5
-
3
-
-
0038633559
-
Constructing descriptive and discriminative nonlinear features: Rayleighcoefficients in kernel feature spaces
-
May
-
S. Mika, G. Rätsch, J.Weston, B. Schölkopf, A. Smola, and K. R. Müller,"Constructing descriptive and discriminative nonlinear features: Rayleighcoefficients in kernel feature spaces," IEEE Trans. Pattern Anal. Mach.Intell., vol. 25, no. 5, pp. 623-628, May 2003.
-
(2003)
IEEE Trans. Pattern Anal. Mach.Intell.
, vol.25
, Issue.5
, pp. 623-628
-
-
Mika, S.1
Rätsch, G.2
Weston, J.3
Schölkopf, B.4
Smola, A.5
Müller, K.R.6
-
4
-
-
67651152570
-
Information fusion in kernel-inducedspaces for robust subpixel hyperspectral ATR
-
Jul
-
S. Prasad and L. Mann Bruce, "Information fusion in kernel-inducedspaces for robust subpixel hyperspectral ATR," IEEE Geosci. RemoteSens. Lett., vol. 6, no. 3, pp. 572-576, Jul. 2009.
-
(2009)
IEEE Geosci. RemoteSens. Lett.
, vol.6
, Issue.3
, pp. 572-576
-
-
Prasad, S.1
Mann Bruce, L.2
-
5
-
-
38349158946
-
A selective KPCA algorithm based on highorderstatistics for anomaly detection in hyperspectral imagery
-
Jan
-
Y. Gu, Y. Liu, and Y. Zhang, "A selective KPCA algorithm based on highorderstatistics for anomaly detection in hyperspectral imagery," IEEEGeosci. Remote Sens. Lett., vol. 5, no. 1, pp. 43-47, Jan. 2008.
-
(2008)
IEEEGeosci. Remote Sens. Lett.
, vol.5
, Issue.1
, pp. 43-47
-
-
Gu, Y.1
Liu, Y.2
Zhang, Y.3
-
6
-
-
80052307660
-
Locality-preservingdiscriminant analysis in kernel-induced spaces for hyperspectral imageclassification
-
Sep
-
W. Li, S. Prasad, J. E. Fowler, and L. Mann Bruce, "Locality- preservingdiscriminant analysis in kernel-induced spaces for hyperspectral imageclassification," IEEE Geosci. Remote Sens. Lett., vol. 8, no. 5, pp. 894-898, Sep. 2011.
-
(2011)
IEEE Geosci. Remote Sens. Lett.
, vol.8
, Issue.5
, pp. 894-898
-
-
Li, W.1
Prasad, S.2
Fowler, J.E.3
Mann Bruce, L.4
-
7
-
-
61349199062
-
Classification ofhyperspectral images with regularized linear discriminant analysis
-
Mar
-
T. V. Bandos, L. Bruzzone, and G. Camps-Valls, "Classification ofhyperspectral 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
-
8
-
-
65549157171
-
Kernel discriminant analysis for positivedefinite and indefinite kernels
-
Jun
-
E. Pekalska and B. Haasdonk, "Kernel discriminant analysis for positivedefinite and indefinite kernels," IEEE Trans. Pattern Anal. Mach. Intell.,vol. 31, no. 6, pp. 1017-1032, Jun. 2009.
-
(2009)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.31
, Issue.6
, pp. 1017-1032
-
-
Pekalska, E.1
Haasdonk, B.2
-
9
-
-
4344614511
-
Classification of hyperspectral remote sensingimages with support vector machines
-
Aug
-
F.Melgani and L. Bruzzone, "Classification of hyperspectral remote sensingimages with support vector machines," IEEE Trans. Geosci. RemoteSens., vol. 42, no. 8, pp. 1778-1790, Aug. 2004.
-
(2004)
IEEE Trans. Geosci. RemoteSens.
, vol.42
, Issue.8
, pp. 1778-1790
-
-
Melgani, F.1
Bruzzone, L.2
-
10
-
-
34249753618
-
Support vector networks
-
Sep
-
C. Cortes and V. N. Vapnik, "Support vector networks," Mach. Learn.,vol. 20, no. 3, pp. 273-297, Sep. 1995.
-
(1995)
Mach. Learn.
, vol.20
, Issue.3
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.N.2
-
11
-
-
33645983632
-
Improving multiclass patternrecognition by the combination of two strategies
-
Jun
-
N. García-Pedrajas and D. Ortiz-Boyer, "Improving multiclass patternrecognition by the combination of two strategies," IEEE Trans. PatternAnal. Mach. Intell., vol. 28, no. 6, pp. 1001-1006, Jun. 2006.
-
(2006)
IEEE Trans. PatternAnal. Mach. Intell.
, vol.28
, Issue.6
, pp. 1001-1006
-
-
García-Pedrajas, N.1
Ortiz-Boyer, D.2
-
12
-
-
0036505670
-
A comparison of methods for multiclass supportvector machines
-
Mar
-
C.W. Hsu and C. J. Lin, "A comparison of methods for multiclass supportvector machines," IEEE Trans. Neural Netw., vol. 13, no. 2, pp. 415-425,Mar. 2002.
-
(2002)
IEEE Trans. Neural Netw.
, vol.13
, Issue.2
, pp. 415-425
-
-
Hsu, C.W.1
Lin, C.J.2
-
13
-
-
57749098429
-
Nesting one-against-one algorithmbased on SVMs for pattern classification
-
Dec
-
B. Liu, Z. Hao, and E. C. C. Tsang, "Nesting one-against-one algorithmbased on SVMs for pattern classification," IEEE Trans. Neural Netw.,vol. 19, no. 12, pp. 2044-2052, Dec. 2008.
-
(2008)
IEEE Trans. Neural Netw.
, vol.19
, Issue.12
, pp. 2044-2052
-
-
Liu, B.1
Hao, Z.2
Tsang, E.C.C.3
-
14
-
-
45149132155
-
Hyperspectral remote sensing image classificationbased on kernel Fisher discriminant analysis
-
Beijing, China Nov.
-
G. Yang, H. Liu, and X. Yu, "Hyperspectral remote sensing image classificationbased on kernel Fisher discriminant analysis," in Proc. Int.Conf. Wavelet Anal. Pattern Recognit., Beijing, China, Nov. 2007,pp. 1139-1143.
-
(2007)
Proc. Int.Conf. Wavelet Anal. Pattern Recognit.
, pp. 1139-1143
-
-
Yang, G.1
Liu, H.2
Yu, X.3
-
15
-
-
20444432773
-
Kernel-based methods for hyperspectralimage classification
-
Jun
-
G. Camps-Valls and L. Bruzzone, "Kernel-based methods for hyperspectralimage classification," IEEE Trans. Geosci. Remote Sens., vol. 43,no. 6, pp. 1351-1362, Jun. 2005.
-
(2005)
IEEE Trans. Geosci. Remote Sens.
, vol.43
, Issue.6
, pp. 1351-1362
-
-
Camps-Valls, G.1
Bruzzone, L.2
-
16
-
-
77957001686
-
Learning relevantimage features with multiple-kernel classification
-
Oct
-
D. Tuia, G. Camps-Valls, G. Matasci, and M. Kanevski, "Learning relevantimage features with multiple-kernel classification," IEEE Trans.Geosci. Remote Sens., vol. 48, no. 10, pp. 3780-3791, Oct. 2010.
-
(2010)
IEEE Trans.Geosci. Remote Sens.
, vol.48
, Issue.10
, pp. 3780-3791
-
-
Tuia, D.1
Camps-Valls, G.2
Matasci, G.3
Kanevski, M.4
-
17
-
-
35348821947
-
Hyperspectral image classification using relevance vector machines
-
DOI 10.1109/LGRS.2007.903069
-
B. Demir and S. Ertürk, "Hyperspectral image classification using relevancevector machines," IEEE Geosci. Remote Sens. Lett., vol. 4, no. 4,pp. 586-590, Oct. 2007. (Pubitemid 47588035)
-
(2007)
IEEE Geoscience and Remote Sensing Letters
, vol.4
, Issue.4
, pp. 586-590
-
-
Demir, B.1
Erturk, S.2
-
18
-
-
79957643015
-
Robust hyperspectral classification usingrelevance vector machine
-
Jun
-
F. A. Mainji and Y. Zhang, "Robust hyperspectral classification usingrelevance vector machine," IEEE Trans. Geosci. Remote Sens., vol. 49,no. 6, pp. 2100-2112, Jun. 2011.
-
(2011)
IEEE Trans. Geosci. Remote Sens.
, vol.49
, Issue.6
, pp. 2100-2112
-
-
Mainji, F.A.1
Zhang, Y.2
-
19
-
-
64149126207
-
Hyperspectral band selection and endmemberdetection using sparsity promoting priors
-
Apr
-
A. Zare and P. Gader, "Hyperspectral band selection and endmemberdetection using sparsity promoting priors," IEEE Geosci. Remote Sens.Lett., vol. 5, no. 2, pp. 256-260, Apr. 2008.
-
(2008)
IEEE Geosci. Remote Sens.Lett.
, vol.5
, Issue.2
, pp. 256-260
-
-
Zare, A.1
Gader, P.2
-
20
-
-
54249139939
-
Kernel Fisher discriminant analysis inGaussian reproducing kernel Hilbert spaces
-
Tech. Rep
-
S. Y. Huang and C. R. Hwang, "Kernel Fisher discriminant analysis inGaussian reproducing kernel Hilbert spaces," Inst. Stat. Sci., Acad. Sinica,Taipei, Taiwan, 2006, Tech. Rep.
-
(2006)
Inst. Stat. Sci., Acad. Sinica,Taipei, Taiwan
-
-
Huang, S.Y.1
Hwang, C.R.2
-
21
-
-
35448973729
-
A kernel optimization method based on the localized kernel Fisher criterion
-
DOI 10.1016/j.patcog.2007.08.009, PII S0031320307003950, Feature Generation and Machine Learning for Robust Multimodal Biometrics
-
B. Chen, H. Liu, and Z. Bao, "A kernel optimization method based onthe localized kernel Fisher criterion," Pattern Recognit., vol. 41, no. 3,pp. 1098-1109, Mar. 2008. (Pubitemid 47632688)
-
(2008)
Pattern Recognition
, vol.41
, Issue.3
, pp. 1098-1109
-
-
Chen, B.1
Liu, H.2
Bao, Z.3
-
22
-
-
34249086815
-
Dimensionality reduction of multimodal labeled data by local fisher discriminant analysis
-
M. Sugiyama, "Dimensionality reduction of multimodal labeled data bylocal Fisher discriminant analysis," J. Mach. Learn. Res., vol. 8, no. 5,pp. 1027-1061, May 2007. (Pubitemid 46798409)
-
(2007)
Journal of Machine Learning Research
, vol.8
, pp. 1027-1061
-
-
Sugiyama, M.1
-
23
-
-
13444286179
-
Locality preserving projections
-
S. Thrun L. Saul, andB. Schölkopf, Eds. Cambridge, MA, USA: MIT Press
-
X. He and P. Niyogi, "Locality preserving projections," in Advancesin Neural Information Processing System, S. Thrun, L. Saul, andB. Schölkopf, Eds. Cambridge, MA, USA: MIT Press, 2004.
-
(2004)
Advancesin Neural Information Processing System
-
-
He, X.1
Niyogi, P.2
-
24
-
-
27144489164
-
A tutorial on support vector machines for pattern recognition
-
C. J. C. Burges, "A tutorial on support vector machines for patternrecognition," Data Mining Knowl. Discov., vol. 2, no. 2, pp. 121-167,Jun. 1998. (Pubitemid 128695475)
-
(1998)
Data Mining and Knowledge Discovery
, vol.2
, Issue.2
, pp. 121-167
-
-
Burges, C.J.C.1
-
25
-
-
0031186661
-
Hybrid consensustheoretic classification
-
Jul
-
J. A. Benediktsson, J. R. Sveinsson, and P. H. Swain, "Hybrid consensustheoretic classification," IEEE Trans. Geosci. Remote Sens., vol. 35, no. 4,pp. 833-843, Jul. 1997.
-
(1997)
IEEE Trans. Geosci. Remote Sens.
, vol.35
, Issue.4
, pp. 833-843
-
-
Benediktsson, J.A.1
Sveinsson, J.R.2
Swain, P.H.3
-
26
-
-
53349127642
-
Decision fusion with confidence-basedweight assignment for hyperspectral target recognition
-
May
-
S. Prasad and L. Mann Bruce, "Decision fusion with confidence-basedweight assignment for hyperspectral target recognition," IEEE Trans.Geosci. Remote Sens., vol. 46, no. 5, pp. 1448-1456, May 2008.
-
(2008)
IEEE Trans.Geosci. Remote Sens.
, vol.46
, Issue.5
, pp. 1448-1456
-
-
Prasad, S.1
Mann Bruce, L.2
-
27
-
-
34249822423
-
Decision fusion forthe classification of urban remote sensing images
-
Oct
-
M. Fauvel, J. Chanussot, and J. A. Benediktsson, "Decision fusion forthe classification of urban remote sensing images," IEEE Trans. Geosci.Remote Sens., vol. 44, no. 10, pp. 2828-2838, Oct. 2006.
-
(2006)
IEEE Trans. Geosci.Remote Sens.
, vol.44
, Issue.10
, pp. 2828-2838
-
-
Fauvel, M.1
Chanussot, J.2
Benediktsson, J.A.3
-
28
-
-
0002437730
-
A test of normality of observationsand regression residuals
-
Aug.
-
C. M. Jarque and A. K. Bera, "A test of normality of observationsand regression residuals," Int. Stat. Rev., vol. 55, no. 2, pp. 163-172,Aug. 1987.
-
(1987)
Int. Stat. Rev.
, vol.55
, Issue.2
, pp. 163-172
-
-
Jarque, C.M.1
Bera, A.K.2
-
29
-
-
0036161011
-
Choosing multiple parameters for support vector machines
-
DOI 10.1023/A:1012450327387
-
O. Chapelle, V. N. Vapnik, O. Bousquet, and S. Mukherjee, "Choosingmultiple parameters for support vector machines," Mach. Learn., vol. 46,no. 1-3, pp. 131-159, Jan. 2002. (Pubitemid 34129966)
-
(2002)
Machine Learning
, vol.46
, Issue.1-3
, pp. 131-159
-
-
Chapelle, O.1
Vapnik, V.2
Bousquet, O.3
Mukherjee, S.4
-
30
-
-
0037381325
-
Fast approximation of Kullback-Leibler distance for dependencetrees and hidden Markov models
-
Apr
-
M. N. Do, "Fast approximation of Kullback-Leibler distance for dependencetrees and hidden Markov models," IEEE Signal Process. Lett.,vol. 10, no. 4, pp. 115-118, Apr. 2003.
-
(2003)
IEEE Signal Process. Lett.
, vol.10
, Issue.4
, pp. 115-118
-
-
Do, M.N.1
-
31
-
-
82155191285
-
Hyperspectralimage classification with independent component discriminant analysis
-
Dec
-
A. Villa, J. A. Benediktsson, J. Chanussot, and C. Jutten, "Hyperspectralimage classification with independent component discriminant analysis,"IEEE Trans. Geosci. Remote Sens., vol. 49, no. 12, pp. 4865-4876,Dec. 2011.
-
(2011)
IEEE Trans. Geosci. Remote Sens.
, vol.49
, Issue.12
, pp. 4865-4876
-
-
Villa, A.1
Benediktsson, J.A.2
Chanussot, J.3
Jutten, C.4
-
32
-
-
70350662759
-
Noise-resistant wavelet-basedBayesian fusion of multispectral and hyperspectral images
-
Nov
-
Y. Zhang, S. D. Backer, and P. Scheunders, "Noise-resistant wavelet-basedBayesian fusion of multispectral and hyperspectral images," IEEE Trans.Geosci. Remote Sens., vol. 47, no. 11, pp. 3834-3843, Nov. 2009.
-
(2009)
IEEE Trans.Geosci. Remote Sens.
, vol.47
, Issue.11
, pp. 3834-3843
-
-
Zhang, Y.1
Backer, S.D.2
Scheunders, P.3
-
33
-
-
79952041437
-
Denoising of hyperspectral imagery using principalcomponent analysis and wavelet shrinkage
-
Mar
-
G. Chen and S. E. Qian, "Denoising of hyperspectral imagery using principalcomponent analysis and wavelet shrinkage," IEEE Trans. Geosci.Remote Sens., vol. 49, no. 3, pp. 973-980, Mar. 2011.
-
(2011)
IEEE Trans. Geosci.Remote Sens.
, vol.49
, Issue.3
, pp. 973-980
-
-
Chen, G.1
Qian, S.E.2
-
34
-
-
84867091378
-
Reconstructions from compressive random projectionsof hyperspectral imagery
-
S. Prasad L. Mann Bruce,and J. Chanussot, Eds. New York, NY, USA: Springer- Verlag ch. 3
-
J. E. Fowler and Q. Du, "Reconstructions from compressive random projectionsof hyperspectral imagery," in OpticalRemote Sensing: Advances inSignal Processing and Exploitation Techniques, S. Prasad, L. Mann Bruce,and J. Chanussot, Eds. New York, NY, USA: Springer-Verlag, 2011,ch. 3, pp. 31-48.
-
(2011)
OpticalRemote Sensing: Advances InSignal Processing and Exploitation Techniques
, pp. 31-48
-
-
Fowler, J.E.1
Du, Q.2
|