Discrete Inference and Learning in Artificial Vision

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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.

Categories: Computer Sciences
Starts : 2014-01-10

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