Adaptive Weighted Residuals Multi-Element Collaborative Representation Classification Approach
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    Abstract:

    An adaptive weighted residuals multi-element collaborative representation classification is proposed in this paper. To address the weak discriminative power of SRC (sparse representation classifier) method, we propose using multiple elements to represent each element and construct multiple collaborative representation for classification. To reflect the different element with different importance and discriminative power, we present adaptive weighted residuals method to linearly combine different element representations for classification. Experimental results demonstrate the effectiveness and better classification accuracy of our proposed method.

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王建仁,魏龙,段刚龙.自适应残差加权的多元素协同表示分类算法.计算机系统应用,2014,23(5):152-157

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History
  • Received:September 27,2013
  • Revised:October 29,2013
  • Adopted:
  • Online: May 29,2014
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