Vision, Sensing and Analytics: Integrative Approaches
| Korporativní autor: | |
|---|---|
| Další autoři: | , |
| Shrnutí: | X, 413 p. 125 illus., 81 illus. in color. text |
| Jazyk: | angličtina |
| Vydáno: |
Cham :
Springer International Publishing : Imprint: Springer,
2021.
|
| Vydání: | 1st ed. 2021. |
| Edice: | Intelligent Systems Reference Library,
207 |
| Témata: | |
| On-line přístup: | https://doi.org/10.1007/978-3-030-75490-7 |
| Médium: | Elektronický zdroj Kniha |
Obsah:
- Deep Architectures in Visual Transfer Learning
- Deep Reinforcement Learning: A New Frontier in Computer Vision Research
- Deep Learning for Data-driven Predictive Maintenance
- Multi-Criteria Fuzzy Goal Programming under Multi-Uncertainty
- Skeleton-based Human Action Recognition on Large-Scale Datasets.