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Titlebook: Geometric Science of Information; First International Frank Nielsen,Frédéric Barbaresco Conference proceedings 2013 Springer-Verlag Berlin

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https://doi.org/10.1007/978-3-030-97427-5escribe a general setting and some general result to reduce the study of a shape optimization problem to a finite dimensional problem of integration of a special type of vector field. We show a practical problem where this approach leads to efficient algorithms.
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,The Mis-named ‘Chinese Garden’ in Ninfa,ducing a data-driven way of identifying anatomical regions of interest. We propose a probabilistic model of the geometrical variability and describe individual patients as noisy deformations of a random spatial structure (modeled as regions) from a common template. The random regions are generated u
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Young Whan Kihl,Lawrence E. Grinterthe geometry of the cluster in the feature space should be considered. We introduce the Spherically Invariant Random Vector (SIRV) representation, which is based on scale-space decomposition, for the modeling of spatial dependencies characterizing the texture image. From the specific properties of t
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East Asian Economic Regionalismerived from HARDI. We employ the framework of large deformation diffeomorphic metric mapping and assume that the HARDI atlas is generated from a known hyperatlas through a flow of diffeomorphisms. We represent the shape prior of the HARDI atlas and the diffeomorphic transformation of individual obse
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