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Advances in Spatio-Temporal Segmentation of Visual Data - Studies in Computational Intelligence Vladimir Mashtalir 2020 edition
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Advances in Spatio-Temporal Segmentation of Visual Data - Studies in Computational Intelligence
Vladimir Mashtalir
This book proposes a number of promising models and methods for adaptive segmentation, swarm partition, permissible segmentation, and transform properties, as well as techniques for spatio-temporal video segmentation and interpretation, online fuzzy clustering of data streams, and fuzzy systems for information retrieval.
274 pages, IX, 274 p.
| Médias | Livres Paperback Book (Livre avec couverture souple et dos collé) |
| Validé | 17 janvier 2021 |
| ISBN13 | 9783030354824 |
| Éditeurs | Springer Nature Switzerland AG |
| Pages | 274 |
| Dimensions | 155 × 233 × 17 mm · 436 g |
| Langue et grammaire | Allemand |
| Éditeur | Levashenko, Vitaly |
| Éditeur | Mashtalir, Vladimir |
| Éditeur | Ruban, Igor |
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