A Novel GA-based Approach to Automatically Generate ConvLSTM Architectures for Human Activity Recognition
Human activity recognition (HAR) is a challenging computer vision problem that requires recognizing and categorizing human actions using spatiotemporal data. In recent years, ConvLSTM has shown distinctive advances in manipulating spatiotemporal data. ConvLSTM-based architectures, as any deep learni...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Graz University of Technology
2025-04-01
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| coleção: | Journal of Universal Computer Science |
| Assuntos: | |
| Acesso em linha: | https://lib.jucs.org/article/131543/download/pdf/ |
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