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Record Nr. |
UNINA9910349425503321 |
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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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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (XII, 582 p.) |
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Collana |
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Image Processing, Computer Vision, Pattern Recognition, and Graphics, , 3004-9954 ; ; 10746 |
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Disciplina |
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Soggetti |
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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 |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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This volume constitutes the refereed proceedings of the 11th International Conference on Energy Minimization Methods in Computer |
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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. |
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