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Energy Minimization Methods in Computer Vision and Pattern Recognition

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Energy Minimization Methods in Computer Vision and Pattern Recognition Synopsis

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.

About This Edition

ISBN: 9783319781983
Publication date: 23rd March 2018
Author: Marcello Pelillo
Publisher: Springer International Publishing AG
Format: Paperback
Pagination: 582 pages
Series: Image Processing, Computer Vision, Pattern Recognition, and Graphics
Genres: Pattern recognition
Computer hardware
Computer vision
Numerical analysis
Mathematical theory of computation
Artificial intelligence