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The accuracy of regression based on hyperspectral data is degraded by a restricted number of labeled data and the curse of dimensionality inherent in the high-dimensional feature space. In this paper, we propose two types of semi-supervised manifold learning methods for regression by a combination of supervised learning based on a small number of labeled data and unsupervised learning based on abundant...
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