-
1
-
-
84892350125
-
Remote Sensing Digital Image Analysis
-
3rd edn. Springer, Berlin Heidelberg New York
-
Richards, J.A., Jia, X.: Remote Sensing Digital Image Analysis. An Introduction, 3rd edn. Springer, Berlin Heidelberg New York (1999)
-
(1999)
An Introduction
-
-
Richards, J.A.1
Jia, X.2
-
2
-
-
77957741951
-
On the mean accuracy of statistical pattern recognizers
-
Hughes, G.F.: On the mean accuracy of statistical pattern recognizers. IEEE Transactions on Information Theory 14 (1968) 55-63
-
(1968)
IEEE Transactions on Information Theory
, vol.14
, pp. 55-63
-
-
Hughes, G.F.1
-
4
-
-
0003472470
-
-
2nd edn. Wiley, New York
-
Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification and Scene Analysis: Part I Pattern Classification, 2nd edn. Wiley, New York (1998)
-
(1998)
Pattern Classification and Scene Analysis: Part I Pattern Classification
-
-
Duda, R.O.1
Hart, P.E.2
Stork, D.G.3
-
7
-
-
46249099027
-
-
MIT, Cambridge, MA
-
Schölkopf, B., Smola, A.: Learning with Kernels - Support Vector Machines, Regularization, Optimization and Beyond. MIT, Cambridge, MA (2002)
-
(2002)
Learning with Kernels - Support Vector Machines, Regularization, Optimization and Beyond
-
-
Schölkopf, B.1
Smola, A.2
-
8
-
-
84900674830
-
-
Camps-Valls, G, Rojo- Álvarez, J.L, Martínez-Ramón, M, eds, Idea, Hershey, PA
-
Camps-Valls, G., Rojo- Álvarez, J.L., Martínez-Ramón, M., eds.: Kernel Methods in Bioengineering, Signal and Image Processing. Idea, Hershey, PA (2006)
-
(2006)
Kernel Methods in Bioengineering, Signal and Image Processing
-
-
-
9
-
-
3843096026
-
Robust support vector method for hyperspectral data classification and knowledge discovery
-
Camps-Valls, G., Gómez-Chova, L., Calpe, J., Soria, E., Martín, J.D., Alonso, L., Moreno, J.: Robust support vector method for hyperspectral data classification and knowledge discovery. IEEE Transactions on Geoscience and Remote Sensing 42 (2004) 1530-1542
-
(2004)
IEEE Transactions on Geoscience and Remote Sensing
, vol.42
, pp. 1530-1542
-
-
Camps-Valls, G.1
Gómez-Chova, L.2
Calpe, J.3
Soria, E.4
Martín, J.D.5
Alonso, L.6
Moreno, J.7
-
10
-
-
33746606930
-
Robust support vector regression for biophysical parameter estimation from remotely sensed images
-
Camps-Valls, G., Bruzzone, L., Rojo-Álvarez, J.L., Melgani, F.: Robust support vector regression for biophysical parameter estimation from remotely sensed images. IEEE Geoscience and Remote Sensing Letters 3 (2006) 339-343
-
(2006)
IEEE Geoscience and Remote Sensing Letters
, vol.3
, pp. 339-343
-
-
Camps-Valls, G.1
Bruzzone, L.2
Rojo-Álvarez, J.L.3
Melgani, F.4
-
13
-
-
0003802343
-
-
Wadsworth & Brooks, Pacific Grove, CA
-
Breiman, L., Friedman, J.H., Olshen, R.A., Stone, C.: Classification and Regression Trees. Wadsworth & Brooks, Pacific Grove, CA (1984)
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.H.2
Olshen, R.A.3
Stone, C.4
-
14
-
-
84983110889
-
A Decision-theoretic generalization of on-line learning and an application to boosting
-
Proceedings of the Second European Conference on Computational Learning Theory
-
Freund, Y., Schapire, R.: A Decision-theoretic generalization of on-line learning and an application to boosting. In: Proceedings of the Second European Conference on Computational Learning Theory, LNCS (1995)
-
(1995)
LNCS
-
-
Freund, Y.1
Schapire, R.2
-
18
-
-
0033100735
-
Maximizing land cover classification accuracies produced by decision trees at continental to global scales
-
Friedl, M.A., Brodley, C.E., Strahler, A.H.: Maximizing land cover classification accuracies produced by decision trees at continental to global scales. IEEE Transactions on Geoscience and Remote Sensing 34 (1999) 969-977
-
(1999)
IEEE Transactions on Geoscience and Remote Sensing
, vol.34
, pp. 969-977
-
-
Friedl, M.A.1
Brodley, C.E.2
Strahler, A.H.3
-
19
-
-
0035439610
-
Estimating pixel-scale land cover classification confidence using nonparametric machine learning methods
-
McIver, D.K., Friedl, M.A.: Estimating pixel-scale land cover classification confidence using nonparametric machine learning methods. IEEE Transactions on Geoscience and Remote Sensing 39 (2001) 1959-1968
-
(2001)
IEEE Transactions on Geoscience and Remote Sensing
, vol.39
, pp. 1959-1968
-
-
McIver, D.K.1
Friedl, M.A.2
-
20
-
-
0035273693
-
Enhanced algorithm performance for land cover classification from remotely sensed data using bagging and boosting
-
Chan, J.C-W., Huang, C., DeFries, R.: Enhanced algorithm performance for land cover classification from remotely sensed data using bagging and boosting. IEEE Transactions on Geoscience and Remote Sensing 39 (2001) 693-1968
-
(2001)
IEEE Transactions on Geoscience and Remote Sensing
, vol.39
, pp. 693-1968
-
-
Chan, J.C.-W.1
Huang, C.2
DeFries, R.3
-
21
-
-
0036821351
-
Multiple classifiers applied to multisource remote sensing data
-
Briem, G.J., Benediktsson, J.A., Sveinsson, J.R.: Multiple classifiers applied to multisource remote sensing data. IEEE Transactions on Geoscience and Remote Sensing 40 (2002) 2291-2299
-
(2002)
IEEE Transactions on Geoscience and Remote Sensing
, vol.40
, pp. 2291-2299
-
-
Briem, G.J.1
Benediktsson, J.A.2
Sveinsson, J.R.3
-
22
-
-
27844552833
-
Supervised image classification by contextual AdaBoost based on posteriors in neighborhoods
-
Nishii, R., Eguchi, S.: Supervised image classification by contextual AdaBoost based on posteriors in neighborhoods. IEEE Transactions on Geoscience and Remote Sensing 43 (2005) 2547-2554
-
(2005)
IEEE Transactions on Geoscience and Remote Sensing
, vol.43
, pp. 2547-2554
-
-
Nishii, R.1
Eguchi, S.2
-
24
-
-
84949196941
-
Boosting first-order learning
-
Arikawa, S, Sharma, A, eds, Proceedings of the 7th International Workshop on Algorithmic Learning Theory. of, Springer, Berlin
-
Quinlan, J.R.: Boosting first-order learning. In: Arikawa, S., Sharma, A., eds.: Proceedings of the 7th International Workshop on Algorithmic Learning Theory. Volume 1160 of LNAI., Springer, Berlin (1996) 143-155
-
(1996)
LNAI
, vol.1160
, pp. 143-155
-
-
Quinlan, J.R.1
-
25
-
-
84860654649
-
-
Rätsch, G.: Ensemble learning methods for classification (in German . Master's thesis, Department of Computer Science, University of Potsdam (1998)
-
Rätsch, G.: Ensemble learning methods for classification (in German . Master's thesis, Department of Computer Science, University of Potsdam (1998)
-
-
-
-
26
-
-
0002829165
-
Robust ensemble learning
-
Smola, A, Bartlett, P, Schölkopf, B, Schuurmans, D, eds, MIT, Cambridge, MA
-
Rätsch, G., Schökopf, B., Smola, A., Mika, S., Onoda, T., Müller, K.R.: Robust ensemble learning. In: Smola, A., Bartlett, P., Schölkopf, B., Schuurmans, D., eds.: Advances in Large Margin Classifiers. MIT, Cambridge, MA (1999) 207-219
-
(1999)
Advances in Large Margin Classifiers
, pp. 207-219
-
-
Rätsch, G.1
Schökopf, B.2
Smola, A.3
Mika, S.4
Onoda, T.5
Müller, K.R.6
-
28
-
-
0021518106
-
A theory of the learnable
-
Valiant, L.G.: A theory of the learnable. Communications of the ACM 27 (1984) 1134-1142
-
(1984)
Communications of the ACM
, vol.27
, pp. 1134-1142
-
-
Valiant, L.G.1
-
29
-
-
0025448521
-
The strength of weak learnability
-
Schapire, R.E.: The strength of weak learnability. Machine Learning 5 (1990) 197-227
-
(1990)
Machine Learning
, vol.5
, pp. 197-227
-
-
Schapire, R.E.1
-
30
-
-
0030211964
-
Bagging predictors
-
Breiman, L.: Bagging predictors. Machine Learning 26 (1996) 123-140
-
(1996)
Machine Learning
, vol.26
, pp. 123-140
-
-
Breiman, L.1
-
31
-
-
0001562581
-
Linear and order statistics combiners for pattern classification
-
Sharkey, A, ed, Springer, London
-
Tumer, K., Gosh, J.: Linear and order statistics combiners for pattern classification. In: Sharkey, A., ed.: Combining Artificial Neural Nets. Springer, London (1999) 127-162
-
(1999)
Combining Artificial Neural Nets
, pp. 127-162
-
-
Tumer, K.1
Gosh, J.2
-
32
-
-
84937423775
-
Maximizing the margin with Boosting
-
Proceedings of the Annual Conference on Computational Learning Theory. of, Springer, Sydney
-
Rätsch, G., Warmuth, M.K.: Maximizing the margin with Boosting. In: Proceedings of the Annual Conference on Computational Learning Theory. Volume 2375 of LNAI., Springer, Sydney (2002) 334-340
-
(2002)
LNAI
, vol.2375
, pp. 334-340
-
-
Rätsch, G.1
Warmuth, M.K.2
-
33
-
-
0342502195
-
-
Rätsch, G., Onoda, T., Müller, K.R.: Soft margins for AdaBoost. Machine Learning 42 (2001) 287-320 also NeuroCOLT Technical Report NC-TR-1998-021, Department of Computer Science, Royal Hollaway, University of London, Egham, UK.
-
Rätsch, G., Onoda, T., Müller, K.R.: Soft margins for AdaBoost. Machine Learning 42 (2001) 287-320 also NeuroCOLT Technical Report NC-TR-1998-021, Department of Computer Science, Royal Hollaway, University of London, Egham, UK.
-
-
-
-
34
-
-
0002550596
-
Functional gradient techniques for combining hypotheses
-
Smola, A.J, Bartlett, P, Schölkopf, B, Schuurmans, D, eds, MIT, Cambridge, MA
-
Mason, L., Baxter, J., Bartlett, P.L., Frean, M.: Functional gradient techniques for combining hypotheses. In: Smola, A.J., Bartlett, P., Schölkopf, B., Schuurmans, D., eds.: Advances in Large Margin Classifiers. MIT, Cambridge, MA (1999) 221-247
-
(1999)
Advances in Large Margin Classifiers
, pp. 221-247
-
-
Mason, L.1
Baxter, J.2
Bartlett, P.L.3
Frean, M.4
-
35
-
-
0035272287
-
An introduction to kernel-based learning algorithms
-
Müller, K.R., Mika, S., Rätsch, G., Tsuda, K.: An introduction to kernel-based learning algorithms. IEEE Transactions on Neural Networks 12 (2001) 181-201
-
(2001)
IEEE Transactions on Neural Networks
, vol.12
, pp. 181-201
-
-
Müller, K.R.1
Mika, S.2
Rätsch, G.3
Tsuda, K.4
-
39
-
-
4344614511
-
Classification of hyperspectral remote-sensing images with support vector machines
-
Melgani, F., Bruzzone, L.: Classification of hyperspectral remote-sensing images with support vector machines. IEEE Transactions on Geoscience and Remote Sensing 42 (2004) 1778-1790
-
(2004)
IEEE Transactions on Geoscience and Remote Sensing
, vol.42
, pp. 1778-1790
-
-
Melgani, F.1
Bruzzone, L.2
-
40
-
-
31144448472
-
Composite kernels for hyperspectral image classi.cation
-
Camps-Valls, G., Gómez-Chova, L., Muñoz-Marí, J., Vila-Francés, J., Calpe-Maravilla, J.: Composite kernels for hyperspectral image classi.cation. IEEE Geoscience and Remote Sensing Letters 3 (2006) 93-97
-
(2006)
IEEE Geoscience and Remote Sensing Letters
, vol.3
, pp. 93-97
-
-
Camps-Valls, G.1
Gómez-Chova, L.2
Muñoz-Marí, J.3
Vila-Francés, J.4
Calpe-Maravilla, J.5
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