Vision, Sensing and Analytics: Integrative Approaches
| Ente Autore: | |
|---|---|
| Altri autori: | , |
| Riassunto: | X, 413 p. 125 illus., 81 illus. in color. text |
| Lingua: | inglese |
| Pubblicazione: |
Cham :
Springer International Publishing : Imprint: Springer,
2021.
|
| Edizione: | 1st ed. 2021. |
| Serie: | Intelligent Systems Reference Library,
207 |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1007/978-3-030-75490-7 |
| Natura: | Elettronico Libro |
Sommario:
- 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.