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	<title>representación robusta de kernel Archives &#8212; MATLAB Number ONE</title>
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	<title>representación robusta de kernel Archives &#8212; MATLAB Number ONE</title>
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		<title>Robust Kernel Representation with Statistical Local Features for Face Recognition</title>
		<link>https://matlab1.com/shop/matlab-code/robust-kernel-representation-with-statistical-local-features-for-face-recognition/</link>
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		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Tue, 08 May 2018 05:12:19 +0000</pubDate>
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					<description><![CDATA[<p>In this project , we proposed a statistical local feature based robust kernel representation (SLF-RKR) model for face recognition. A robust representation model to image outliers (e.g., occlusion and real disguise) was built in the kernel space, and a multi-partition max pooling technology was proposed to enhance the invariance of local pattern feature to image misalignment and pose [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/robust-kernel-representation-with-statistical-local-features-for-face-recognition/">Robust Kernel Representation with Statistical Local Features for Face Recognition</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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