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In this paper, we study the link-oriented tasks in signed network, i.e., labeling link signs and predicting new links. Usually, prior arts directly focus on the link signs, while their intrinsic structural regularities have been largely ignored. Furthermore, these techniques suffer the sensitiveness to the high dimension and sparsity of networks. To deal with these tasks, with verifying the effect...
This paper proposes to apply Bayesian principle to clustering matting components in spectral matting. Spectral matting is a useful and effective technique for digital image matting. A crucial issue of spectral matting is how to cluster the computed matting components, which compose the final alpha matte. In this paper, a new clustering strategy based on Bayesian decision theory is proposed to solve...
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