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A Flexible Metric Nearest-Neighbor Classification based on the Decision Boundaries of SVM for Hyperspectral Image.

, , , and . IGARSS (4), page 212-215. IEEE, (2008)

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The validity of computerized visual motor integration assessment using Chinese basic strokes., , , , , and . Interact. Learn. Environ., 26 (8): 1074-1089 (2018)An Automatic Method for Selecting the Parameter of the Normalized Kernel Function to Support Vector Machines., , , , , and . J. Inf. Sci. Eng., 28 (1): 1-15 (2012)Hyperspectral image classification using spectral and spatial information based linear discriminant analysis., , , and . IGARSS, page 1716-1719. IEEE, (2011)Kernel-Based KNN and Gaussian Classifiers for Hyperspectral Image Classification., , , and . IGARSS (2), page 1006-1008. IEEE, (2008)Applying optimal algorithm to data-dependent kernel for hyperspectral image classification., , , and . IGARSS, page 2808-2811. IEEE, (2010)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)Localized Shrinkage Covariance Estimation of Hyperspectral Image Classification., , , and . IGARSS (4), page 538-541. IEEE, (2009)Multiple SVMS based on random subspaces from kernel feature importance for hyperspectral image classification., , and . IGARSS, page 574-577. IEEE, (2017)A Quantum-Modeled Fuzzy C-Means clustering algorithm for remotely sensed multi-band image segmentation., , , , , , and . IGARSS, page 2501-2504. IEEE, (2013)