Vision, Sensing and Analytics: Integrative Approaches
| Corporate Author: | |
|---|---|
| Other Authors: | , |
| Summary: | X, 413 p. 125 illus., 81 illus. in color. text |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2021.
|
| Edition: | 1st ed. 2021. |
| Series: | Intelligent Systems Reference Library,
207 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-030-75490-7 |
| Format: | Electronic eBook |
Table of Contents:
- 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.