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Jun, 2023
整合公共人类活动识别数据集以缓解标记数据稀缺问题
Combining Public Human Activity Recognition Datasets to Mitigate Labeled Data Scarcity
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Riccardo Presotto, Sannara Ek, Gabriele Civitarese, François Portet, Philippe Lalanda...
TL;DR
本研究提出了一种结合公共数据集的新策略,用于学习通用的人类活动识别模型,并表明结合公共数据集可以显著减少在未知目标领域上实现令人满意的性能所需的标记样本的数量。
Abstract
The use of
supervised learning
for
human activity recognition
(HAR) on mobile devices leads to strong classification performances. Such an approach, however, requires large amounts of labeled data, both for the i
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