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(Hyper)-Graphs Inference through Convex Relaxations and Move Making Algorithms

- Contributions and Applications in Artificial Vision

af Nikos Komodakis

indgår i Foundations and Trends (R) in Computer Graphics and Vision serien

(Hyper)-Graphs Inference through Convex Relaxations and Move Making Algorithms af Nikos Komodakis
Bag om (Hyper)-Graphs Inference through Convex Relaxations and Move Making Algorithms

Computational visual perception seeks to reproduce human vision through the combination of visual sensors, artificial intelligence, and computing. This monograph focuses on the inference component of the problem and in particular discusses in a systematic manner the most commonly used optimization principles in the context of graphical models.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781680831382
  • Indbinding:
  • Paperback
  • Sideantal:
  • 118
  • Udgivet:
  • 31. maj 2016
  • Størrelse:
  • 156x234x6 mm.
  • Vægt:
  • 178 g.
  • 8-11 hverdage.
  • 11. december 2024
Forlænget returret til d. 31. januar 2025

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Computational visual perception seeks to reproduce human vision through the combination of visual sensors, artificial intelligence, and computing. This monograph focuses on the inference component of the problem and in particular discusses in a systematic manner the most commonly used optimization principles in the context of graphical models.

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