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Active Learning Methods for Remote Sensing Image Classification.

, , , , and . IEEE Trans. Geoscience and Remote Sensing, 47 (7-2): 2218-2232 (2009)

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Active Learning of Very-High Resolution Optical Imagery with SVM: Entropy vs Margin Sampling., , , , , , , and . IGARSS (4), page 73-76. IEEE, (2008)Multi-objective Optimization of a Composite Material Spring Design Using an Evolutionary Algorithm., , , and . PPSN, volume 3242 of Lecture Notes in Computer Science, page 803-811. Springer, (2004)Semisupervised Neural Networks for Efficient Hyperspectral Image Classification., , and . IEEE Trans. Geoscience and Remote Sensing, 48 (5): 2271-2282 (2010)Deep learning via semi-supervised embedding., , and . ICML, volume 307 of ACM International Conference Proceeding Series, page 1168-1175. ACM, (2008)Evolutionary operators for optimal gate location in liquid composite moulding., , and . Appl. Soft Comput., 9 (2): 817-823 (2009)Active Learning Methods for Remote Sensing Image Classification., , , , and . IEEE Trans. Geoscience and Remote Sensing, 47 (7-2): 2218-2232 (2009)Large-Scale Clustering through Functional Embedding., , and . ECML/PKDD (2), volume 5212 of Lecture Notes in Computer Science, page 266-281. Springer, (2008)Learning Manifolds in Forensic Data., , , , and . ICANN (2), volume 4132 of Lecture Notes in Computer Science, page 894-903. Springer, (2006)Multisource Composite Kernels for Urban-Image Classification., , , and . IEEE Geosci. Remote. Sens. Lett., 7 (1): 88-92 (2010)Pattern analysis in illicit heroin seizures: a novel application of machine learning algorithms., , , , and . ESANN, page 665-670. (2006)