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Continuous Timescale Long-Short Term Memory Neural Network for Human Intent Understanding
Understanding of human intention by observing a series of human actions has been a challenging task. In order to do so, we need to analyze longer sequences of human actions related with intentions and extract the context from the dynamic features. The multiple timescales recurrent neural network (MT...
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| Publié dans: | Front Neurorobot |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Frontiers Media S.A.
2017
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5572368/ https://ncbi.nlm.nih.gov/pubmed/28878646 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnbot.2017.00042 |
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