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Discrete Inference and Learning in Artificial Vision

We will present the state of the art energy minimization algorithms that are used to perform inference in modern artificial vision models: that is, efficient methods for obtaining the most likely interpretation of a given visual input. We will also cover the popular max-margin framework for estimating the model parameters using inference.

Start Date: Jan 01, 2014 Topics: General Art

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Overview

Description

This course presents the state of the art energy minimization algorithms that are used to perform inference in modern artificial vision models. This course also covers the popular max-margin framework for estimating the model parameters using inference.

Details

  • Dates: Jan 01, 2014 to Feb 01, 2014
  • Level of Difficulty: Beginner
  • Size: Massive Open Online Course
  • Institution: Coursera
  • Topics: General Art

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About Coursera: Coursera is an education company that partners with the top universities and organizations in the world to offer courses online for anyone to take, for free.

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