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		<updated>2026-05-06T09:31:42Z</updated>
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		<title>Scipediacontent: Scipediacontent moved page Draft Content 116211741 to Gnegy et al 2014a</title>
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				<updated>2021-02-02T06:51:57Z</updated>
		
		<summary type="html">&lt;p&gt;Scipediacontent moved page &lt;a href=&quot;/public/Draft_Content_116211741&quot; class=&quot;mw-redirect&quot; title=&quot;Draft Content 116211741&quot;&gt;Draft Content 116211741&lt;/a&gt; to &lt;a href=&quot;/public/Gnegy_et_al_2014a&quot; title=&quot;Gnegy et al 2014a&quot;&gt;Gnegy et al 2014a&lt;/a&gt;&lt;/p&gt;
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				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 06:51, 2 February 2021&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan='2' style='text-align: center;' lang='en'&gt;&lt;div class=&quot;mw-diff-empty&quot;&gt;(No difference)&lt;/div&gt;
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		<author><name>Scipediacontent</name></author>	</entry>

	<entry>
		<id>https://www.scipedia.com/wd/index.php?title=Gnegy_et_al_2014a&amp;diff=202988&amp;oldid=prev</id>
		<title>Scipediacontent: Created page with &quot; == Abstract ==  In this paper we report on the performance of a coupled oscillator based implementation of the HMAX image-processing pipeline. Within this pipeline we have us...&quot;</title>
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				<updated>2021-02-02T06:51:53Z</updated>
		
		<summary type="html">&lt;p&gt;Created page with &amp;quot; == Abstract ==  In this paper we report on the performance of a coupled oscillator based implementation of the HMAX image-processing pipeline. Within this pipeline we have us...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
In this paper we report on the performance of a coupled oscillator based implementation of the HMAX image-processing pipeline. Within this pipeline we have used coupled oscillator arrays to replace traditional Boolean logic with a Degree-of-Match (DoM) function that measures the L2 distance squared between two vectors in an n-dimensional space. We show that this operation can be used in three stages of the pipeline: 1) as a substitute for convolution in filtering operations, 2) as a computational kernel for pattern matching, and 3) as a distance function in a nearest neighbor classification algorithm. In this study, we have modeled the performance of the latter two and report our recognition results over a test set from the Neo Vision2 image database.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Original document ==&lt;br /&gt;
&lt;br /&gt;
The different versions of the original document can be found in:&lt;br /&gt;
&lt;br /&gt;
* [https://zenodo.org/record/1280246 https://zenodo.org/record/1280246] under the license https://creativecommons.org/share-your-work/public-domain/cc0/&lt;br /&gt;
&lt;br /&gt;
* [https://zenodo.org/record/1280246/files/article.pdf https://zenodo.org/record/1280246/files/article.pdf]&lt;br /&gt;
&lt;br /&gt;
* [http://xplorestaging.ieee.org/ielx7/6973465/6986048/06986101.pdf?arnumber=6986101 http://xplorestaging.ieee.org/ielx7/6973465/6986048/06986101.pdf?arnumber=6986101],&lt;br /&gt;
: [http://dx.doi.org/10.1109/sips.2014.6986101 http://dx.doi.org/10.1109/sips.2014.6986101] under the license cc0&lt;br /&gt;
&lt;br /&gt;
* [https://dblp.uni-trier.de/db/conf/sips/sips2014.html#JenningsBGCFCL14 https://dblp.uni-trier.de/db/conf/sips/sips2014.html#JenningsBGCFCL14],&lt;br /&gt;
: [https://academic.microsoft.com/#/detail/2003232723 https://academic.microsoft.com/#/detail/2003232723]&lt;/div&gt;</summary>
		<author><name>Scipediacontent</name></author>	</entry>

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