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

- Contributions and Applications in Artificial Vision

About (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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  • Language:
  • English
  • ISBN:
  • 9781680831382
  • Binding:
  • Paperback
  • Pages:
  • 118
  • Published:
  • May 30, 2016
  • Dimensions:
  • 156x234x6 mm.
  • Weight:
  • 178 g.
Delivery: 1-2 weeks
Expected delivery: November 28, 2024

Description of (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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