Semi-supervised and unsupervised kernel-based novelty detection with application to remote sensing images
Event details
| Date | 13.06.2014 |
| Hour | 17:00 |
| Speaker | Frank DE MORSIER |
| Location | |
| Category | Thesis defenses |
Thesis director; Prof. J.-Ph. Thiran
Electrical Engineering doctoral program
Thesis Nr 6184
Electrical Engineering doctoral program
Thesis Nr 6184
Practical information
- General public
- Free