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Online recognition of unsegmented actions with hierarchical SOM architecture
Automatic recognition of an online series of unsegmented actions requires a method for segmentation that determines when an action starts and when it ends. In this paper, a novel approach for recognizing unsegmented actions in online test experiments is proposed. The method uses self-organizing neur...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer Berlin Heidelberg
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7935837/ https://www.ncbi.nlm.nih.gov/pubmed/32700120 http://dx.doi.org/10.1007/s10339-020-00986-4 |