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	<title>l1-minimization techniques Archives &#8212; MATLAB Number ONE</title>
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	<title>l1-minimization techniques Archives &#8212; MATLAB Number ONE</title>
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		<title>Sparse or Collaborative Representation for Face Recognition</title>
		<link>https://matlab1.com/shop/matlab-code/sparse-or-collaborative-representation-for-face-recognition/</link>
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		<pubDate>Tue, 08 May 2018 03:35:13 +0000</pubDate>
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					<description><![CDATA[<p>As a recently proposed technique, sparse representation based classification (SRC) has been widely used for face recognition (FR). SRC first codes a testing sample as a sparse linear combination of all the training samples, and then classifies the testing sample by evaluating which class leads to the minimum representation error. While the importance of sparsity is much emphasized in SRC and many [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/sparse-or-collaborative-representation-for-face-recognition/">Sparse or Collaborative Representation for Face Recognition</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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