Three Approaches to Approximating the Fisher Information Number for Gaussian Mixture Densities
| Zugehörige Institution(en) am KIT | Institut für Anthropomatik und Robotik (IAR) |
| Publikationstyp | Proceedingsbeitrag |
| Publikationsdatum | 04.09.2024 |
| Sprache | Englisch |
| Identifikator | ISBN: 979-8-3503-6804-8 ISSN: 2835-947X KITopen-ID: 1000177285 |
| Erschienen in | 2024 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Pilsen, 4th-6th September 2024 |
| Veranstaltung | 2024 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) (2024), Pilsen, Czech Republic, 04.09.2024 – 06.09.2024 |
| Verlag | Institute of Electrical and Electronics Engineers (IEEE) |
| Seiten | 1–6 |
| Nachgewiesen in | Dimensions Scopus |