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			<div class="col-md-6 col-sm-12 col-xs-12"><h3><span >Discrete Inference and Learning in Artificial Vision</span></h3></div>
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		<p style="margin:0;">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.</p>
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		<a class="newtablink" href="https://www.coursera.org/course/artificialvision" target="_blank" style="color:#3C7F8C">https://www.coursera.org/course/artificialvision</a></span>
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			<span class="grayedtext" style="text-decoration: line-through;">2014-01-10</span></div>	</td>
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