Energy Minimization Methods in Computer Vision and Pattern Recognition Energy Minimization Methods in Computer Vision and Pattern Recognition

Energy Minimization Methods in Computer Vision and Pattern Recognition

11th International Conference, EMMCVPR 2017, Venice, Italy, October 30 – November 1, 2017, Revised Selected Papers

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Description de l’éditeur

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.

GENRE
Informatique et Internet
SORTIE
2018
23 mars
LANGUE
EN
Anglais
LONGUEUR
594
Pages
ÉDITIONS
Springer International Publishing
DÉTAILS DU FOURNISSEUR
Springer Science & Business Media LLC
TAILLE
20,1
Mo
Structural, Syntactic, and Statistical Pattern Recognition Structural, Syntactic, and Statistical Pattern Recognition
2021
Analysis of Images, Social Networks and Texts Analysis of Images, Social Networks and Texts
2021
Recent Trends in Analysis of Images, Social Networks and Texts Recent Trends in Analysis of Images, Social Networks and Texts
2021
Machines We Trust Machines We Trust
2021
Analysis of Images, Social Networks and Texts Analysis of Images, Social Networks and Texts
2020
Analysis of Images, Social Networks and Texts Analysis of Images, Social Networks and Texts
2019