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Titlebook: Computational Visual Media; First International Shi-Min Hu,Ralph R. Martin Conference proceedings 2012 Springer-Verlag Berlin Heidelberg 2

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Weak Convergence of Permanent Processes,-down hierarchical manner. In addition, given that users can have different perspectives regarding how images should be clustered, our method allows each user to control the clustering process while browsing, and thus dynamically adjusts the clustering result according to the user’s preferences.
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Combinatorial Formula for Schur Polynomialsw that our method has better performance on yielding higher precision and recall rates. In the application of image editing, we demonstrate that using our saliency map as energy map can achieve more appealing retargeting results with less distortions in the important regions.
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Semantic Image Clustering Using Object Relation Network-down hierarchical manner. In addition, given that users can have different perspectives regarding how images should be clustered, our method allows each user to control the clustering process while browsing, and thus dynamically adjusts the clustering result according to the user’s preferences.
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Similar Region Contrast Based Salient Object Detectionw that our method has better performance on yielding higher precision and recall rates. In the application of image editing, we demonstrate that using our saliency map as energy map can achieve more appealing retargeting results with less distortions in the important regions.
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