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Titlebook: Artificial Neural Networks in Pattern Recognition; 9th IAPR TC3 Worksho Frank-Peter Schilling,Thilo Stadelmann Conference proceedings 2020

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/162680.jpg
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über Form und Wachstum des oberen Femurendeses get outperformed by data driven machine learning methods. Especially worth to mention is that this not only holds true in terms of precision and computational performance but also in terms of complexity reduction and maintainability. In this paper we provide an overview about the different stages
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https://doi.org/10.1007/978-3-662-30319-1tomated pain intensity recognition approach in combination with different sets of short-time sequences. Our outcomes indicate, that in real-world applications, where the detection of pain intensity is based on more than one single short-time sequence, the accuracy values can be significantly improve
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