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An Iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision
Computer Vision and Pattern Recognition, no. 1 (2013): 1759-1766
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摘要
Natural image statistics indicate that we should use non-convex norms for most regularization tasks in image processing and computer vision. Still, they are rarely used in practice due to the challenge to optimize them. Recently, iteratively reweighed ℓ1 minimization has been proposed as a way to tackle a class of non-convex functions by ...更多
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