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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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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 Visualizza cluster
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  Visualizza cluster
ISBN: 9783319781990
3319781995
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910349425503321
Lo trovi qui: Univ. Federico II
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Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics, . 3004-9954 ; ; 10746