BriefGPT.xyz
Jun, 2023
通过结合下采样和卷积神经网络对模拟的4D图像数据进行拓扑估计
Topology Estimation of Simulated 4D Image Data by Combining Downscaling and Convolutional Neural Networks
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Khalil Mathieu Hannouch, Stephan Chalup
TL;DR
本研究旨在确定大规模四维图像型数据的贝蒂数，利用降尺度方法作用于训练数据，再利用卷积神经网络可实现对原始样本的贝蒂数的估计。
Abstract
four-dimensional
image-type data can quickly become prohibitively large, and it may not be feasible to directly apply methods, such as
persistent homology
or convolutional neural networks, to determine the topolo
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