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Titlebook: Discrete Geometry and Mathematical Morphology; Third International Sara Brunetti,Andrea Frosini,Simone Rinaldi Conference proceedings 2024

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樓主: whiplash
11#
發(fā)表于 2025-3-23 11:24:00 | 只看該作者
Group Equivariant Networks Using Morphological Operatorsished on the subject and the literature keeps increasing. This paper aims to fill the lack of morphological approaches on the matter. We propose a set of group equivariant layers using morphological operators, several model configurations are tested and compared with a convolutional equivalent netwo
12#
發(fā)表于 2025-3-23 16:40:56 | 只看該作者
An Algorithm to?Train Unrestricted Sequential Discrete Morphological Neural Networkso date has been the morphological neural networks (MNN). Although MNN have performed better than CNN in solving some problems, they inherit their black-box nature. Furthermore, in the case of binary images, they are approximations that loose the Boolean lattice structure of MM operators and, thus, i
13#
發(fā)表于 2025-3-23 21:11:38 | 只看該作者
Discovering Repeated Patterns from?the?Onsets in?a?Multidimensional Representation of?MusicThe main idea proposed here is to use the onsets to discover musical patterns. By definition, the morphological erosion of musical data by a musical pattern corresponds to its onsets. However, the erosion of musical data by the onsets is not always equal to the musical pattern. We propose a theorem
14#
發(fā)表于 2025-3-23 22:21:22 | 只看該作者
The Lattice Overparametrization Paradigm for?the?Machine Learning of?Lattice Operators of operators based on prior information with low bias, and low complexity relative to the sample size. From a computational perspective, there should be an efficient algorithm to minimize an empirical error over the class. From an understanding point of view, the properties of the learned operator
15#
發(fā)表于 2025-3-24 04:12:22 | 只看該作者
https://doi.org/10.1007/978-3-030-05958-3 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
16#
發(fā)表于 2025-3-24 06:55:02 | 只看該作者
The Conservative Party and Women’s Suffrageute 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
17#
發(fā)表于 2025-3-24 13:42:39 | 只看該作者
18#
發(fā)表于 2025-3-24 18:49:39 | 只看該作者
19#
發(fā)表于 2025-3-24 19:26:40 | 只看該作者
20#
發(fā)表于 2025-3-25 03:12:23 | 只看該作者
Some Geometric and?Tomographic Results on?Gray-Scale Images
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