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- | ====== Variational Methods in Computer Vision ====== | ||
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- | Tutorial ECCV 2010 | ||
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- | Daniel Cremers, Bastian Goldlücke, Thomas Pock | ||
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- | ====== Content ====== | ||
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- | * Basic concepts of variational methods: variational approach, Euler-Lagrange equations, duality, ... | ||
- | * Foundations of convex optimization and convex relaxation techniques | ||
- | * Optimal first-order algorithms for convex optimization | ||
- | * Variational formulations for classical computer vision problems: image segmentation, | ||
- | * Relations to discrete optimization and Markov random fields | ||
- | * Mumford-Shah and multilabel problems | ||
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- | ====== Schedule ====== | ||
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- | Sunday, 5.9.2010 | ||
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- | |9: | ||
- | |10: | ||
- | |11: | ||
- | |13: | ||
- | |14: | ||
- | |15: | ||
- | |16:00|The Mumford-Shah Problem in Computer Vision|Thomas Pock| | ||
- | |17: | ||
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- | ====== Slides ====== | ||
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- | ===== Complete download (.zip) ===== | ||
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- | * [[http:// | ||
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- | ===== Single chapters (.pdf) | ||
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- | * [[http:// | ||
- | * [[http:// | ||
- | * [[http:// | ||
- | * [[http:// | ||
- | * [[http:// | ||