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<p><a href="glimpse_8hpp_source.html">Go to the source code of this file.</a></p>
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Classes</h2></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1Glimpse.html">mlpack::ann::Glimpse< InputDataType, OutputDataType ></a></td></tr>
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<tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">The glimpse layer returns a retina-like representation (down-scaled cropped images) of increasing scale around a given location in a given image. <a href="classmlpack_1_1ann_1_1Glimpse.html#details">More...</a><br /></td></tr>
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<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1ann_1_1MeanPoolingRule.html">mlpack::ann::MeanPoolingRule</a></td></tr>
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<tr class="memdesc:namespacemlpack"><td class="mdescLeft"> </td><td class="mdescRight">Linear algebra utility functions, generally performed on matrices or vectors. <br /></td></tr>
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<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:namespacemlpack_1_1ann"><td class="memItemLeft" align="right" valign="top">  </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemlpack_1_1ann.html">mlpack::ann</a></td></tr>
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<tr class="memdesc:namespacemlpack_1_1ann"><td class="mdescLeft"> </td><td class="mdescRight">Artificial Neural Network. <br /></td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
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<div class="textblock"><dl class="section author"><dt>Author</dt><dd>Marcus Edel</dd></dl>
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<p>Definition of the GlimpseLayer class, which takes an input image and a location to extract a retina-like representation of the input image at different increasing scales.</p>
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<p>For more information, see the following.</p>
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<div class="fragment"><div class="line">@article{CoRR2014,</div><div class="line"> author = {Volodymyr Mnih, Nicolas Heess, Alex Graves, Koray Kavukcuoglu},</div><div class="line"> title = {Recurrent Models of Visual Attention},</div><div class="line"> journal = {CoRR},</div><div class="line"> volume = {abs/1406.6247},</div><div class="line"> year = {2014},</div><div class="line">}</div></div><!-- fragment -->
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<p>Definition in file <a class="el" href="glimpse_8hpp_source.html">glimpse.hpp</a>.</p>
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