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Recently, regression analysis has become a popular tool for face recognition. Most existing regression methods use the one-dimensional, pixel-based error model, which characterizes the representation error individually, pixel by pixel, and thus neglects the two-dimensional structure of the error image. We observe that occlusion and illumination changes generally lead, approximately, to a low-rank...
Face recognition with partial occlusion is one of the urgent and challenging problems in the pattern recognition research. Using the Alternating Direction Method of Multipliers (ADMM), the recently proposed nuclear norm based matrix regression model (NMR) has been shown a great potential in dealing with the structural noise. And yet, ADMM needs to bring into an auxiliary variable and only exploits...
Dozens of image features have been proposed in recent decades, which could measure the similarity of images and promote the improvement of performance in image retrieval. Different features focus on different views of the image, where two image quite distant with one feature may close with another. In this paper, we attempt to integrate different measures together to improve the image retrieval accuracy...
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