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Titlebook: Geometric Science of Information; 6th International Co Frank Nielsen,Frédéric Barbaresco Conference proceedings 2023 The Editor(s) (if appl

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Final Reflections: Emerging Policy Issues,eodesic torsion ...More precisely, we show that, with the help of the Euclidean metric, the tangent space at . can be identified with . and the gauge invariant elastic metrics form a 6-parameter family: .where ..
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Shape Spaces of Nonlinear Flagseodesic torsion ...More precisely, we show that, with the help of the Euclidean metric, the tangent space at . can be identified with . and the gauge invariant elastic metrics form a 6-parameter family: .where ..
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Shilpa Kusampudi,Nagarjun Kondurudgama et al. by providing a general definition of Kendall shapes in terms of group representations to allow for more flexible modeling of KS-VAEs. We show that learning with generalized Kendall shapes, instead of landmark-based shapes, improves representation capacity.
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https://doi.org/10.1007/978-1-349-04949-3ierarchical structure enables rich bottom-up and top-down information flows, hypothesized to underlie the visual system’s ability for perceptual inference. The model’s equivariant representations are demonstrated on time-varying visual scenes.
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