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Compositional Learning of Human Activities With a Self-Organizing Neural Architecture
An important step for assistive systems and robot companions operating in human environments is to learn the compositionality of human activities, i.e., recognize both activities and their comprising actions. Most existing approaches address action and activity recognition as separate tasks, i.e., a...
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| Publicado no: | Front Robot AI |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7805845/ https://ncbi.nlm.nih.gov/pubmed/33501087 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/frobt.2019.00072 |
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