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Clustering Schemes on the Torus with Application to RNA Clashes
Therefore, the torus PCA and clustering methods we propose make an important contribution to directional statistics and statistics on manifolds in general.
Generalized Intersection Algorithms with Fixpoints for Image Decomposition Learning
In image processing, classical methods minimize a suitable functional that balances between computational feasibility (convexity of the functional is ideal) and suitable penalties reflecting the desired image decomposition.
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