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We consider the image classification problem based on the similarities between images. The choice of the similarity is related to the particular applications, and it could be based on color, texture, bag-of-features, or even more complex kernels. As long as the pair-wise similarity matrix is transformed into a positive semidefinite one, the similarities of images could be treated as kernels. This...
A fast image in painting method based on hybrid similarity-distance is proposed in this paper. In Criminisi et al.'s work, similarity distance are not reliable enough in many cases and the algorithm performs inefficiently. To solve these problems, we propose a new searching strategy to accelerate the algorithm. In addition, we modify the confidence-updating rule to make more reasonable the distributions...
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