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Discrete Inference and Learning in Artificial Vision

Classified as: CS447 - Computer Vision (1 Alt. Course Available)
Course Description:

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.

Course Tags: Vision
  • Instructor(s) Nikos Paragios, Pawan Kumar
  • University
  • Provider
  • Start Date 10/Jan/2014
  • Duration 7 weeks
  • Main Language English
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