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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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Conference proceedings 2015s. The papers are organized in topical sections on discrete and continuous optimization; image restoration and inpainting; segmentation; PDE and variational methods; motion, tracking and multiview reconstruction; statistical methods and learning; and medical image analysis.
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Nachsprechleistung und Sprachtherapieerfolg,ing additional convex constraints and functions to the minimization problem resulting in strong convex relaxations. We evaluate the framework on both real and synthetic data sets and demonstrate state-of-the-art performance.
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https://doi.org/10.1007/979-8-8688-0113-6ensor. 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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Spring Persistence with Hibernatesign 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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978-3-319-14611-9Springer International Publishing Switzerland 2015
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