2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS 2013
DOI: 10.1109/igarss.2013.6723054
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Hyperspectral image classification using Primal Laplacian SVM in preconditioned conjugate gradient solution

Abstract: With the introduction of manifold assumption, Laplacian Support Vector Machine(LapSVM) has advantages over the traditional SVM classifiers. However the dual solution of LapSVM is still a major barrier on the further application of LapSVM. Primal optimization is a promising solution to this problem. In this paper, we introduce a novel primal Laplacian Support Vector Machine with Precondition Conjugate Gradient method(PCG) to the problem of hyperspectral images classification which is one type of primal optimiza… Show more

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