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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| Asıl Yazarlar: | , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Graz University of Technology
2025-04-01
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| Seri Bilgileri: | Journal of Universal Computer Science |
| Konular: | |
| Online Erişim: | https://lib.jucs.org/article/131543/download/pdf/ |
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