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Discrete Inference and Learning in Artificial Vision

Nikos Paragios, Pawan Kumar École Centrale Paris @Coursera
Class Start: TBA
Duration: 8 weeks
Approximate Workload: 2-3 hours/week
Certificate: Yes
Level: intermediate
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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.
Categories: [Computer Science]


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