Titlebook: Variational, Geometric, and Level Set Methods in Computer Vision; Third International Nikos Paragios,Olivier Faugeras,Christoph Schn?rr Co

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Shingyu Leung,Stanley Oshere incorporate our approach with support vector machines to conclude that linguistic analysis plays a significant role in sentiment determination. Finally, we verify our results on movie, car and book reviews.

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Nonlinear Inverse Scale Space Methods for Image Restoration,oise is known..The inverse flow is computed directly for one-dimensional signals, yielding high quality restorations. In higher spatial dimensions, we introduce a relaxation technique using two evolution equations. These equations allow accurate, efficient and straightforward implementation.

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A Study of Non-smooth Convex Flow Decomposition, additively superposed flow textures. Such decompositions are of interest for the analysis of image sequences in experimental fluid dynamics and for highly non-rigid image flows in computer vision..Our work extends current research on image decomposition into structural and textural parts in a twofo

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Denoising Tensors via Lie Group Flows,late the problem of these .(.) flows in terms of the principal chiral model (PCM) action. This action is defined over a Lie group manifold. By minimizing the PCM action with respect to the group element, we obtain the equations of motion for the group element (or the corresponding connection). Then,

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Nonlinear Inverse Scale Space Methods for Image Restoration, iterated refinement procedure yields a sequence of convex variational problems, evolving toward the noisy image..The inverse scale space method arises as a limit for a penalization parameter tending to zero, while the number of iteration steps tends to infinity. For the limiting flow, similar prope

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Towards PDE-Based Image Compression,, their use for image compression was mainly focussing on pre- or postprocessing so far. In our paper we investigate their potential within the decoding step. We start with the observation that edge-enhancing diffusion (EED), an anisotropic nonlinear diffusion filter with a diffusion tensor, is well