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Weighted Extension of OMP for Discriminative Dictionary Learning
Chen Naheng * #
China Mobile Group Guangdong Co.Ltd. ,Dongguan 523001
*Correspondence author
#Submitted by
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Funding: none
Opened online:17 July 2014
Accepted by: none
Citation: Chen Naheng.Weighted Extension of OMP for Discriminative Dictionary Learning[OL]. [17 July 2014] http://en.paper.edu.cn/en_releasepaper/content/4601431
 
 
Classification based on sparse representation has received a great deal of attention in recent years. In this paper, a weighted extension of OMP for classification is presented. It can be used in dictionary learning algorithms when dealing with classification issue. The proposed method adds a weighted parameter to the OMP algorithm; therefore discriminative power is enhanced and leads a faster convergence. This method is evaluated in the face recognition on Extended YaleB database and AR database. The result shows that the method achieves comparable recognition accuracy to the state-of-the-art result and runs 18 times faster in Extended YaleB and 30 times faster in AR.
Keywords:algorithm theory;sparse representation;dictionary learning;OMP;classification, face recognition
 
 
 

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