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首页> 外文期刊>Network Daily News >Findings in Networks Reported from University of Rovira and Virgili (Implicit Regularization of a Deep Augmented Neural Network Model for Human Motion Prediction)
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Findings in Networks Reported from University of Rovira and Virgili (Implicit Regularization of a Deep Augmented Neural Network Model for Human Motion Prediction)

机译:Findings in Networks Reported from University of Rovira and Virgili (Implicit Regularization of a Deep Augmented Neural Network Model for Human Motion Prediction)

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摘要

By a News Reporter-Staff News Editor at Network Daily News – A new studyon Networks is now available. According to news reporting out of Tarragona, Spain, by NewsRx editors,research stated, “Predicting human motion based on past observed motion is one of the challenging issuesin computer vision and graphics. Existing research works are dealing with this issue by using discriminativemodels and showing the results for cases that follow a homogeneous distribution (in distribution) and notdiscussing the issues of the domain shift problem, where training and testing data follow a heterogeneous(out of distribution) problem, which is the reality when such models are used in practice.”
机译:由一个新闻记者在网络新闻编辑每日新闻》——一项新的研究可用。塔拉戈纳,西班牙NewsRx编辑,基于过去说:“预测人类的运动观察到的运动是一种挑战问题研究工作正在处理这个问题使用区别的结果为例,遵循均匀分布(分布)和不是域转移问题的问题,遵循一个训练和测试数据异构这是现实当使用这样的模型吗练习。”

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    《Network Daily News》 |2023年第3期|58-58|共1页
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