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Titlebook: Energy Minimization Methods in Computer Vision and Pattern Recognition; 10th International C Xue-Cheng Tai,Egil Bae,Marius Lysaker Conferen

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0302-9743 Pattern Recognition, EMMCVPR 2015, held in Hong Kong, China, in January 2015. The 36 revised full papers were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on discrete and continuous optimization; image restoration and inpainting; segmentation; PDE
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A Novel Framework for Nonlocal Vectorial Total Variation Based on ℓ, −normsensor. Interestingly, this unifies several local color total variation (TV) methods in a single framework. We show in several numerical experiments on image denoising and deblurring that a stronger coupling of different color channels – particularly, a coupling with the ℓ. norm – yields superior reconstruction results.
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Multi-class Graph Mumford-Shah Model for Plume Detection Using the MBO scheme the Nyström extension method which efficiently approximates eigenvectors of the graph Laplacian based on a small portion of the weight matrix. Finally, we implement the proposed method on the problem of chemical plume detection in hyper-spectral video data.
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Segmentation Using SubMarkov Random Walksign a subRW algorithm with label prior to solve the segmentation problem of objects with thin and elongated parts. The experimental results on natural images with twigs demonstrate that our algorithm achieves better performance than the previous random walk algorithms.
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