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Advances in Spatio-Temporal Segmentation of Visual Data - Studies in Computational Intelligence 2020 edition
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Advances in Spatio-Temporal Segmentation of Visual Data - Studies in Computational Intelligence
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.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 16 de enero de 2020 |
| ISBN13 | 9783030354794 |
| Editores | Springer Nature Switzerland AG |
| Páginas | 274 |
| Dimensiones | 150 × 220 × 20 mm · 576 g |
| Lengua | Alemán |
| Editor | Levashenko, Vitaly |
| Editor | Mashtalir, Vladimir |
| Editor | Ruban, Igor |
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