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	<title>次元の削減 Archives &#8212; MATLAB Number ONE</title>
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	<title>次元の削減 Archives &#8212; MATLAB Number ONE</title>
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		<title>On the Dimensionality Reduction for Sparse Representation based Face Recognition</title>
		<link>https://matlab1.com/shop/matlab-code/on-the-dimensionality-reduction-for-sparse-representation-based-face-recognition/</link>
					<comments>https://matlab1.com/shop/matlab-code/on-the-dimensionality-reduction-for-sparse-representation-based-face-recognition/#respond</comments>
		
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		<pubDate>Mon, 16 Apr 2018 03:59:10 +0000</pubDate>
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					<description><![CDATA[<p>In this project, we discussed the dimensionality reduction (DR) of face images when using sparse representation based classifier (SRC) for classification. Our experiments on Extended Yale B, AR and ORL face databases demonstrated that the proposed DR algorithm has better performance than Eigenfaces and Randomfaces. It can achieve higher recognition rate under the same dimensionality [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/on-the-dimensionality-reduction-for-sparse-representation-based-face-recognition/">On the Dimensionality Reduction for Sparse Representation based Face Recognition</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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