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Jan, 2024
基于自编码器的语义交流的领域学习与概念空间
Autoencoder-Based Domain Learning for Semantic Communication with Conceptual Spaces
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Dylan Wheeler, Balasubramaniam Natarajan
TL;DR
使用 MNIST 和 CelebA 数据集,通过学习领域的概念空间模型以及高级属性标签,我们展示出了利用原始数据的框架来学习概念空间模型的可行性,并保持语义相似关系和可解释性维度。
Abstract
Communication with the goal of accurately conveying meaning, rather than accurately transmitting symbols, has become an area of growing interest. This paradigm, termed
semantic communication
, typically leverages modern developments in
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