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High-precision attribute prediction is a challenging issue due to the complex object and scene variations. Targeting on enhancing attribute prediction precision, we propose an Enhanced Attribute Prediction-Latent Dirichlet Allocation (EAP-LDA) model to address this issue. EAP-LDA model enhances the attribute prediction precision in two steps: classification adaptation and prediction enhancement. In...
In this paper we present a novel method for single image super-resolution (SR). Given an input low-resolution image, we create a pyramid pair: the ground truth pyramid and the interpolated pyramid. This method aims to model the relationship between pixel value in ground truth pyramid and its corresponding 8- neighborhood vector in interpolated pyramid using Gaussian Mixture Model (GMM). Each pixel...
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