结束
发表于 2025-3-25 07:08:21
New Characterizations of Full Convexity from dimension 3. If we consider now .-simplices instead of a segment (2-simplex), we achieve an equivalence in arbitrary dimension .. Secondly, we exhibit another characterization of full convexity, which is recursive with respect to the dimension and uses simple axis projections. This latter char
可忽略
发表于 2025-3-25 09:13:50
Differential Maximum Euclidean Distance Transform Computation in Component Treesute twice as fast as the node-reconstruction approach. Our proposed attribute is increasing and its applicability is exemplified by the design of an extinction value filter. The ability to select thin connected components, like cables, of our filter is compared to filters using other increasing attr
永久
发表于 2025-3-25 15:08:35
An Algorithm to Train Unrestricted Sequential Discrete Morphological Neural Networkse is composed only of operators that can be decomposed as the supremum, infimum, and complement of erosions and dilations. In this paper, we propose an algorithm to learn unrestricted sequential DMNN, whose architecture is given by the composition of general W-operators. We illustrate the algorithm
MARS
发表于 2025-3-25 16:45:54
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舔食
发表于 2025-3-25 21:26:24
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ascend
发表于 2025-3-26 03:16:14
978-3-031-57792-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
Vertebra
发表于 2025-3-26 05:22:21
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/e/image/281109.jpg
Tdd526
发表于 2025-3-26 12:32:59
Chapter 8: The Give-Back of the Givingets of ., especially Euclidean balls. We shed light on the hierarchical structure of these rotations, induced by their discontinuity (characterized by hinge angles) and the size of the considered ball. We propose efficient algorithmic schemes leading to the construction of combinatorial models (tree
Individual
发表于 2025-3-26 14:56:55
Plato killed a moth in my dreamlly, naive arithmetic hyperplanes, and we present a new approach to recognise these discrete structures based on the Stern-Brocot tree. The algorithm for DSS recognition proposes an alternative method to the state of the art, keeping the linear complexity and incremental character. While most of the
anticipate
发表于 2025-3-26 18:19:23
Chapter 7: Ajahn Chah Gives a Teachingquence of three 2D shears along coordinate axes, leading to a decomposition of a 3D rotation into nine (beam) shears in total. We define a 3D digitized rotation using nine digitized beam shears, i.e., we round the result of each shear before applying the next one. As digitized shears are bijective,