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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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51#
發(fā)表于 2025-3-30 11:49:37 | 只看該作者
52#
發(fā)表于 2025-3-30 12:35:44 | 只看該作者
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 ..
53#
發(fā)表于 2025-3-30 19:22:58 | 只看該作者
54#
發(fā)表于 2025-3-30 22:22:45 | 只看該作者
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 ..
55#
發(fā)表于 2025-3-31 01:28:30 | 只看該作者
56#
發(fā)表于 2025-3-31 06:15:28 | 只看該作者
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.
57#
發(fā)表于 2025-3-31 12:59:26 | 只看該作者
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.
58#
發(fā)表于 2025-3-31 15:05:07 | 只看該作者
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