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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.
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2021. gada 17. janvāris |
| ISBN13 | 9783030354824 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 274 |
| Izmēri | 150 × 220 × 10 mm · 403 g |
| Valoda | Vācu |
| Redaktors | Levashenko, Vitaly |
| Redaktors | Mashtalir, Vladimir |
| Redaktors | Ruban, Igor |
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