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A Kernel-Based Feature Selection Method for SVM With RBF Kernel for Hyperspectral Image Classification.

, , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 7 (1): 317-326 (2014)

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An EEG-based classification system of Passenger's motion sickness level by using feature extraction/selection technologies., , , , , and . IJCNN, page 1-6. IEEE, (2010)Hyperspectral image classification using spectral and spatial information based linear discriminant analysis., , , and . IGARSS, page 1716-1719. IEEE, (2011)Applying automatic kernel parameter selection method to the full bandwidth RBF kernel function for hyperspectral image classification., , , and . IGARSS, page 3442-3445. IEEE, (2014)A nonlinear feature selection method based on kernel separability measure for hyperspectral image classification., , and . IGARSS, page 461-464. IEEE, (2015)Applying optimal algorithm to data-dependent kernel for hyperspectral image classification., , , and . IGARSS, page 2808-2811. IEEE, (2010)Localized Shrinkage Covariance Estimation of Hyperspectral Image Classification., , , and . IGARSS (4), page 538-541. IEEE, (2009)Kernel-Based KNN and Gaussian Classifiers for Hyperspectral Image Classification., , , and . IGARSS (2), page 1006-1008. IEEE, (2008)Multiple SVMS based on random subspaces from kernel feature importance for hyperspectral image classification., , and . IGARSS, page 574-577. IEEE, (2017)Kernel Nonparametric Weighted Feature Extraction for Classification., and . Australian Conference on Artificial Intelligence, volume 3809 of Lecture Notes in Computer Science, page 567-576. Springer, (2005)A knowledge-structure-based adaptive dynamic assessment system for calculus learning., and . J. Comput. Assist. Learn., 32 (2): 105-119 (2016)