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Titlebook: Interdisziplin?re Anthropologie; Jahrbuch 9/2021: Qua Gerald Hartung,Matthias Herrgen Book 2024 Der/die Herausgeber bzw. der/die Autor(en),

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樓主: 熱情美女
11#
發(fā)表于 2025-3-23 11:57:07 | 只看該作者
Carmen Kaminsky 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
12#
發(fā)表于 2025-3-23 15:07:18 | 只看該作者
13#
發(fā)表于 2025-3-23 18:55:23 | 只看該作者
Stefan Selke 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
14#
發(fā)表于 2025-3-24 01:46:11 | 只看該作者
15#
發(fā)表于 2025-3-24 06:00:33 | 只看該作者
onfirmation that deep learning techniques provide state-of-the-art results for most of computer vision tasks has been shaking up traditional research in image processing. The same can be said for research in communities working on applied harmonic analysis, information geometry, variational methods,
16#
發(fā)表于 2025-3-24 08:48:43 | 只看該作者
Matthias Ernst B?hronfirmation that deep learning techniques provide state-of-the-art results for most of computer vision tasks has been shaking up traditional research in image processing. The same can be said for research in communities working on applied harmonic analysis, information geometry, variational methods,
17#
發(fā)表于 2025-3-24 12:00:59 | 只看該作者
retrieved and tracked through the time for subsequent thematic analysis. The goal of this work is the vectorization step, i.e., the extraction of vector shapes of the objects of interest from raster images of maps. We are particularly interested in closed shape detection such as buildings, building
18#
發(fā)表于 2025-3-24 16:35:52 | 只看該作者
Tim-Florian Steinbach extraction method commonly applied to the analysis of remote sensing images. To convey spatial-spectral features of remote sensing images, APs were initially defined as sequences of filtering operators on the max- and min-trees computed from the original data. Since its appearance, the notion of AP
19#
發(fā)表于 2025-3-24 21:25:30 | 只看該作者
20#
發(fā)表于 2025-3-25 01:31:34 | 只看該作者
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