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	<title>Разреженное представление или совместное представление: что помогает распознаванию лиц? Archives &#8212; MATLAB Number ONE</title>
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	<title>Разреженное представление или совместное представление: что помогает распознаванию лиц? Archives &#8212; MATLAB Number ONE</title>
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		<title>Sparse Representation or Collaborative Representation: Which Helps Face Recognition?</title>
		<link>https://matlab1.com/shop/matlab-code/sparse-representation-or-collaborative-representation-which-helps-face-recognition/</link>
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		<pubDate>Mon, 16 Apr 2018 03:06:09 +0000</pubDate>
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					<description><![CDATA[<p>This paper revealed that it is the collaborative representation (CR) mechanism, but not the l1-norm sparsity constraint, that truly improves the face recognition (FR) accuracy. We then presented a very simple yet very effective FR scheme, namely CR based classification with regularized least square (CRC_RLS). Compared with the l1-regularized sparse representation based classification (SRC), the l2-regularized CRC_RLS has very competitive FR accuracy but [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/sparse-representation-or-collaborative-representation-which-helps-face-recognition/">Sparse Representation or Collaborative Representation: Which Helps Face Recognition?</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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