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Sparse Bayesian Learning Of Filters For Efficient Image Expansion | |||
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Abstract In this paper, we present a novel framework, called learning by propagability, for two essential data mining tasks, i.e., classification and regression. The whole learning process is driven by the philosophy that the data labels and the optimal feature representation jointly constitute a harmonic system, where the data labels are invariant with respect to the propagation on the similarity graph constructed based on the optimal feature representation. Based on this philosophy, a unified framework of learning by propagability is propose ....etc | |||
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1. Study and Design on Data Management Model of SQL Server CE For Mobile Application | |||
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