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In this paper, we propose an effective method for detecting linear up-sampling in images. Our method includes three parts. First, we present an algorithm, Resampling Matrix Construction, that automatically derives the resampling matrix for any given resampling factor of fraction. Second, we show an algorithm, Zeroing Mask Derivation, that constructs a zeroing mask for the resampling produced by the...
Finding latent patterns in high dimensional data is an important research problem with numerous applications. Existing approaches can be summarized into 3 categories: feature selection, feature transformation (or feature projection) and projected clustering. Being widely used in many applications, these methods aim to capture global patterns and are typically performed in the full feature space. In...
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