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Energy Minimization Methods in Computer Vision and Pattern Recognition : 9th International Conference, EMMCVPR 2013, Lund, Sweden, August 19-21, 2013. Proceedings / / edited by Anders Heyden, Fredrik Kahl, Carl Olsson, Magnus Oskarsson, Xue-Cheng Tai



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Titolo: Energy Minimization Methods in Computer Vision and Pattern Recognition : 9th International Conference, EMMCVPR 2013, Lund, Sweden, August 19-21, 2013. Proceedings / / edited by Anders Heyden, Fredrik Kahl, Carl Olsson, Magnus Oskarsson, Xue-Cheng Tai Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Edizione: 1st ed. 2013.
Descrizione fisica: 1 online resource (XII, 363 p. 130 illus.)
Disciplina: 006.4
Soggetto topico: Pattern recognition
Computer software—Reusability
Optical data processing
Algorithms
Data mining
Pattern Recognition
Performance and Reliability
Image Processing and Computer Vision
Algorithm Analysis and Problem Complexity
Computer Imaging, Vision, Pattern Recognition and Graphics
Data Mining and Knowledge Discovery
Persona (resp. second.): HeydenAnders
KahlFredrik
OlssonCarl
OskarssonMagnus
TaiXue-Cheng
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di contenuto: Medical Imaging -- Image Editing -- 3D Reconstruction -- Shape Matching -- Scene Understanding -- Segmentation; Superpixels -- Statistical Methods and Learning.
Sommario/riassunto: This volume constitutes the refereed proceedings of the 9th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2013, held in Lund, Sweden, in August 2013. The 26 revised full papers were carefully reviewed and selected from 40 submissions. The papers are organized in topical sections on Medical Imaging; Image Editing; 3D Reconstruction; Shape Matching; Scene Understanding; Segmentation; Superpixels; Statistical Methods and Learning.
Titolo autorizzato: Energy Minimization Methods in Computer Vision and Pattern Recognition  Visualizza cluster
ISBN: 3-642-40395-6
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910484945903321
Lo trovi qui: Univ. Federico II
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Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 8081