-
1
-
-
37249003229
-
Multiple classifier systems in remote sensing: From basics to recent developments
-
M. Haindl, J. Kittler, and F. Roli (eds.), Multiple Classifier Systems, Springer, Berlin Heidelberg
-
Benediktsson, J.A., J. Chanussot, and M. Fauvel (2007), Multiple classifier systems in remote sensing: from basics to recent developments. In:M. Haindl, J. Kittler, and F. Roli (eds.), Multiple Classifier Systems, Lecture Notes in Computer Science, Vol. 4472, Springer, Berlin Heidelberg, 501-512, DOI: 10.1007/978-3-540-72523-7-50.
-
(2007)
Lecture Notes in Computer Science
, vol.4472
, pp. 501-512
-
-
Benediktsson, J.A.1
Chanussot, J.2
Fauvel, M.3
-
2
-
-
0036821351
-
Multiple classifiers applied to multisource remote sensing data
-
Briem, G.J., J.A. Benediktsson, and J.R. Sveinsson (2002), Multiple classifiers applied to multisource remote sensing data, IEEE Trans. Geosci. Remote Sens. 40, 10, 2291-2299, DOI: 10.1109/TGRS.2002.802476.
-
(2002)
IEEE Trans. Geosci. Remote Sens.
, vol.40
, Issue.10
, pp. 2291-2299
-
-
Briem, G.J.1
Benediktsson, J.A.2
Sveinsson, J.R.3
-
3
-
-
84947248395
-
A literature review, 2001-2008, of classification methods and inner urban characteristics identified in multispectral remote sensing images
-
Brito, P.L., and J.A. Quintanilha (2012), A literature review, 2001-2008, of classification methods and inner urban characteristics identified in multispectral remote sensing images. In: Proc. 4th GEOBIA, 7-9 May 2012, Rio de Janeiro, Brazil, 586-591.
-
(2012)
Proc. 4th GEOBIA, 7-9 May 2012, Rio de Janeiro, Brazil
, pp. 586-591
-
-
Brito, P.L.1
Quintanilha, J.A.2
-
4
-
-
33750230352
-
Classification algorithms for biomedical volume datasets
-
R. Marin, E. Onaindia, A. Bugarin, and J. Santos (eds.) Springer, Berlin Heidelberg
-
Cerquides, J., M. López-Sánchez, S. Ontañón, E. Puertas, A. Puig, O. Pujol, and D. Tost (2006), Classification algorithms for biomedical volume datasets. In:R. Marin, E. Onaindia, A. Bugarin, and J. Santos (eds.), Current Topics in Artificial Intelligence, Springer, Berlin Heidelberg, 143-152, DOI: 10.1007/11881216-16.
-
(2006)
Current Topics in Artificial Intelligence
, pp. 143-152
-
-
Cerquides, J.1
López-Sánchez, M.2
Ontañón, S.3
Puertas, E.4
Puig, A.5
Pujol, O.6
Tost, D.7
-
5
-
-
43949125818
-
Evaluation of Random Forest and AdaBoost tree-based ensemble classification and spectral band selection for ecotope mapping using airborne hyperspectral imagery
-
Chan, J.C.W., and D. Paelinckx (2008), Evaluation of Random Forest and AdaBoost tree-based ensemble classification and spectral band selection for ecotope mapping using airborne hyperspectral imagery, Remote Sens. Environ. 112, 6, 2999-3011, DOI: 10.1016/j.rse.2008.02.011.
-
(2008)
Remote Sens. Environ.
, vol.112
, Issue.6
, pp. 2999-3011
-
-
Chan, J.C.W.1
Paelinckx, D.2
-
6
-
-
33748619838
-
-
Computer Science and Engineering Department, University of California, San Diego, USA
-
Dlagnekov, L. (2004), License Plate Detection using AdaBoost, Computer Science and Engineering Department, University of California, San Diego, USA.
-
(2004)
License Plate Detection Using AdaBoost
-
-
Dlagnekov, L.1
-
7
-
-
0002978642
-
Experiments with a new boosting algorithm
-
Freund, Y., and R.E. Schapire (1996), Experiments with a new boosting algorithm. In: Proc. 13th Int. Conf. Machine Learning, 3-6 July 1996, Bari, Italy, 148-156.
-
(1996)
Proc. 13th Int. Conf. Machine Learning, 3-6 July 1996, Bari, Italy
, pp. 148-156
-
-
Freund, Y.1
Schapire, R.E.2
-
8
-
-
0033100735
-
Maximizing land cover classification accuracies produced by decision trees at continental to global scales
-
Friedl, M.A., C.E. Brodley, and A.H. Strahler (1999), Maximizing land cover classification accuracies produced by decision trees at continental to global scales, IEEE Trans. Geosci. Remote Sens. 37, 2, 969-977, DOI: 10.1109/36.752215.
-
(1999)
IEEE Trans. Geosci. Remote Sens.
, vol.37
, Issue.2
, pp. 969-977
-
-
Friedl, M.A.1
Brodley, C.E.2
Strahler, A.H.3
-
9
-
-
18644370258
-
Global land cover mapping from MODIS: Algorithms and early results
-
Friedl, M.A., D.K. McIver, J.C.F. Hodges, X.Y. Zhang, D. Muchoney, A.H. Strahler, C.E. Woodcock, S. Gopal, A. Schneider, A. Cooper, A. Baccini, F. Gao, and C. Schaaf (2002), Global land cover mapping from MODIS: algorithms and early results, Remote Sens. Environ. 83, 1-2, 287-302, DOI: 10.1016/S0034-4257(02)00078-0.
-
(2002)
Remote Sens. Environ.
, vol.83
, Issue.1-2
, pp. 287-302
-
-
Friedl, M.A.1
McIver, D.K.2
Hodges, J.C.F.3
Zhang, X.Y.4
Muchoney, D.5
Strahler, A.H.6
Woodcock, C.E.7
Gopal, S.8
Schneider, A.9
Cooper, A.10
Baccini, A.11
Gao, F.12
Schaaf, C.13
-
10
-
-
0027580356
-
Very simple classification rules perform well on most commonly used datasets
-
Holte, R.C. (1993), Very simple classification rules perform well on most commonly used datasets, Mach. Learn. 11, 1, 63-91, DOI: 10.1023/A:1022631118932.
-
(1993)
Mach. Learn.
, vol.11
, Issue.1
, pp. 63-91
-
-
Holte, R.C.1
-
11
-
-
4243617025
-
-
University of Pennsylvania, Machine Learning class project, unpublished
-
Kearns, M. (1988), Thoughts on hypothesis boosting, University of Pennsylvania, Machine Learning class project, 105 pp. (unpublished).
-
(1988)
Thoughts on Hypothesis Boosting
-
-
Kearns, M.1
-
12
-
-
1842431416
-
Classification of remotely sensed imagery using stochastic gradient boosting as a refinement of classification tree analysis
-
Lawrence, R., A. Bunn, S. Powell, and M. Zambon (2004), Classification of remotely sensed imagery using stochastic gradient boosting as a refinement of classification tree analysis, Remote Sens. Environ. 90, 3, 331-336, DOI: 10.1016/j.rse.2004.01.007.
-
(2004)
Remote Sens. Environ.
, vol.90
, Issue.3
, pp. 331-336
-
-
Lawrence, R.1
Bunn, A.2
Powell, S.3
Zambon, M.4
-
13
-
-
84947208705
-
Adaboost
-
Center for Machine Perception, Czech Technical University, Prague, Czech Republic
-
Matas, J., and J. Sochman (2001), Adaboost. Center for Machine Perception, Czech Technical University, Prague, Czech Republic.
-
(2001)
-
-
Matas, J.1
Sochman, J.2
-
14
-
-
0035439610
-
Estimating pixel-scale land cover classification confidence using nonparametric machine learning methods
-
McIver, D.K., and M.A. Friedl (2001), Estimating pixel-scale land cover classification confidence using nonparametric machine learning methods, IEEE Trans. Geosci. Remote Sens. 39, 9, 1959-1968, DOI: 10.1109/36.951086.
-
(2001)
IEEE Trans. Geosci. Remote Sens.
, vol.39
, Issue.9
, pp. 1959-1968
-
-
McIver, D.K.1
Friedl, M.A.2
-
15
-
-
0030370417
-
Bagging, boosting, and C4.5
-
Quinlan, J.R. (1996), Bagging, boosting, and C4.5. In: Proc. 13th National Conference on Artificial Intelligence, 12-17 February 1996, Phoenix, USA, Vol. 1, 725-730.
-
(1996)
Proc. 13th National Conference on Artificial Intelligence, 12-17 February 1996, Phoenix, USA
, vol.1
, pp. 725-730
-
-
Quinlan, J.R.1
-
16
-
-
77955326628
-
Mapping global urban areas using MODIS 500-m data: New methods and datasets based on 'urban ecoregions'
-
Schneider, A., M.A. Friedl, and D. Potere (2010), Mapping global urban areas using MODIS 500-m data: New methods and datasets based on 'urban ecoregions', Remote Sens. Environ. 114, 8, 1733-1746, DOI: 10.1016/j.rse.2010.03.003.
-
(2010)
Remote Sens. Environ.
, vol.114
, Issue.8
, pp. 1733-1746
-
-
Schneider, A.1
Friedl, M.A.2
Potere, D.3
-
17
-
-
0021518106
-
A theory of the learnable
-
Valiant, L.G. (1984), A theory of the learnable, Commun. ACM 27, 11, 1134-1142, DOI: 10.1145/1968.1972.
-
(1984)
Commun. ACM
, vol.27
, Issue.11
, pp. 1134-1142
-
-
Valiant, L.G.1
-
18
-
-
0035680116
-
Rapid object detection using a boosted cascade of simple features
-
Viola, P., and M. Jones (2001), Rapid object detection using a boosted cascade of simple features. In: Computer Vision and Pattern Recognition CVPR 2001, Vol. 1, I-511-I-518, DOI: 10.1109/CVPR.2001.990517.
-
(2001)
Computer Vision and Pattern Recognition CVPR 2001
, vol.1
, pp. I511-I518
-
-
Viola, P.1
Jones, M.2
-
19
-
-
2142812371
-
Robust real-time face detection
-
Viola, P., and M.J. Jones (2004), Robust real-time face detection, Int. J. Comput. Vision 57, 2, 137-154, DOI: 10.1023/B:VISI.0000013087.49260.fb.
-
(2004)
Int. J. Comput. Vision
, vol.57
, Issue.2
, pp. 137-154
-
-
Viola, P.1
Jones, M.J.2
|