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| Titolo: |
Energy Minimization Methods in Computer Vision and Pattern Recognition : 11th International Conference, EMMCVPR 2017, Venice, Italy, October 30 – November 1, 2017, Revised Selected Papers / / edited by Marcello Pelillo, Edwin Hancock
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| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Edizione: | 1st ed. 2018. |
| Descrizione fisica: | 1 online resource (XII, 582 p.) |
| Disciplina: | 006.37 |
| Soggetto topico: | Pattern recognition systems |
| Computer arithmetic and logic units | |
| Computer vision | |
| Numerical analysis | |
| Computer science - Mathematics | |
| Artificial intelligence | |
| Automated Pattern Recognition | |
| Arithmetic and Logic Structures | |
| Computer Vision | |
| Numerical Analysis | |
| Mathematical Applications in Computer Science | |
| Artificial Intelligence | |
| Persona (resp. second.): | PelilloMarcello |
| HancockEdwin | |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Nota di contenuto: | Clustering and Quantum Methods -- Motion and Tracking -- Image Processing and Segmentation -- Color, Shading and Reflectance of Light -- Propagation and Time-evolution -- Inference, Labeling, and Relaxation. |
| Sommario/riassunto: | This volume constitutes the refereed proceedings of the 11th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2017, held in Venice, Italy, in October/November 2017. The 37 revised full papers were carefully reviewed and selected from 51 submissions. The papers are organized in topical sections on Clustering and Quantum Methods; Motion and Tracking; Image Processing and Segmentation; Color, Shading and Reflectance of Light; Propagation and Time-evolution; and Inference, Labeling, and Relaxation. |
| Titolo autorizzato: | Energy Minimization Methods in Computer Vision and Pattern Recognition ![]() |
| ISBN: | 9783319781990 |
| 3319781995 | |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910349425503321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |