Vision, Sensing and Analytics: Integrative Approaches
| Institutionell upphovsman: | |
|---|---|
| Övriga upphovsmän: | , |
| Sammanfattning: | X, 413 p. 125 illus., 81 illus. in color. text |
| Språk: | engelska |
| Publicerad: |
Cham :
Springer International Publishing : Imprint: Springer,
2021.
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| Upplaga: | 1st ed. 2021. |
| Serie: | Intelligent Systems Reference Library,
207 |
| Ämnen: | |
| Länkar: | https://doi.org/10.1007/978-3-030-75490-7 |
| Materialtyp: | Elektronisk Bok |
Innehållsförteckning:
- 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.