Game Theoretic Training Enabled Deep Learning Solutions for Rapid Discovery of Satellite Behaviors
The chapter presents a game theoretic training model enabling a deep learning solution for rapid discovery of satellite behaviors from collected sensor data. The solution has two parts, namely, Part 1 and Part 2. Part 1 is a PE game model that enables data augmentation method, and Part 2 uses convol...
Guardado en:
| Autores principales: | , , , , , , |
|---|---|
| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2020
|
| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/72340 |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares: Game Theoretic Training Enabled Deep Learning Solutions for Rapid Discovery of Satellite Behaviors
- An Adaptive Markov Game Model for Cyber Threat Intent Inference
- Hybrid Blockchain-Enabled Secure Microservices Fabric for Decentralized Multi-Domain Avionics Systems
- Privileged observations enable rapid and reliable policy discovery directly in the physical world
- The Objective Evaluation Index (OEI) for Evaluation of Night Vision Colorization Techniques
- Soft Labels for Rapid Satellite Object Detection
- Satellite Imagery Multiscale Rapid Detection with Windowed Networks