Titlebook: Emerging Trends in Visual Computing; LIX Fall Colloquium, Frank Nielsen Book 2009 Springer-Verlag Berlin Heidelberg 2009 3-manifold.3D cine

Brain-Imaging

Computational Photography: Epsilon to Coded Photographyography is to modify the optics, illumination or sensors at the time of capture so that the scene properties are encoded in a single (or a few) photographs. We describe several applications of coding exposure, aperture, illumination and sensing and describe emerging techniques to recover scene parameters from coded photographs.

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Computational Geometry from the Viewpoint of Affine Differential Geometryes or constructing algorithms on a manifold strongly depend on the realization or on the choice of local coordinate systems. We also consider the upper envelope type theorems on statistical manifolds, and give a constructing algorithm of Voronoi diagrams on ( − 1)-conformally flat statistical manifo

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Interactions between Symmetric Cone and Information Geometries: Bruhat-Tits and Siegel Spaces ModelsSpecific Blocks structure of the Toeplitz Hermitian covariance matrix is used to define an iterative and parallel algorithm for Siegel metric computation. Based on Affine Information Geometry theory, we introduce for Complex Autoregressive Model, Kähler metric on reflection coefficients based on Käh

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Intrinsic Geometries in Learningnvergence to the optimum and explicit convergence rates under very weak assumptions. As a consequence, many of the classification calibrated surrogates of Bartlett . (2006) admit efficient minimization algorithms.

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Sparse Multiscale Patches for Image Processingty of the multiscale transform, the most significant patches, called ., characterize efficiently these pdfs. We propose a statistical measure (the Kullback-Leibler divergence) based on the comparison of these probability density functions. Interestingly, this measure is estimated via the nonparametr

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