| Paper ID | MLSP-L6.2 |
| Paper Title |
ANOMALY DETECTION IN MIXED TIME-SERIES USING A CONVOLUTIONAL SPARSE REPRESENTATION WITH APPLICATION TO SPACECRAFT HEALTH MONITORING |
| Authors |
Barbara Pilastre, TéSA, France; Gustavo Silva, Pontifica Universidad Catolica del Peru, Peru; Loïc Boussouf, Airbus Defence and Space, France; Stéphane D'Escrivan, CNES, France; Paul Rodriguez, Pontifica Universidad Catolica del Peru, Peru; Jean-Yves Tourneret, ENSEEIHT-IRIT/TéSA, France |
| Session | MLSP-L6: Sparsity Aware Processing and Learning |
| Location | On-Demand |
| Session Time: | Thursday, 07 May, 11:30 - 13:30 |
| Presentation Time: | Thursday, 07 May, 11:50 - 12:10 |
| Presentation |
Lecture
|
| Topic |
Machine Learning: [MLR-DICT] Dictionary learning |
| IEEE Xplore Open Preview |
Click here to view in IEEE Xplore |
| Virtual Presentation |
Click here to watch in the Virtual Conference |