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A supervised neighborhood preserving embedding (SNPE) linear manifold learning feature extraction method for hyperspectral image classification is presented in this paper. A point's k nearest neighbors is found by using new distance which is proposed according to prior class-label information. The new distance makes intra-class more tightly and inter-class more separately. SNPE overcomes the single...
This paper gives an analysis of the matching process in patch-based sampling texture synthesis algorithm, and finds that the matching process takes up most of the time when synthesizing textures. But for a certain type of textures, with their texture features distributed uniformly, we can omit the matching process when they are synthesized, or make the matching roughly. We propose a novel character...
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