A Cost-Sensitive Sparse Representation Based Classification for Class-Imbalance Problem
Sparse representation has been successfully used in pattern recognition and machine learning. However, most existing sparse representation based classification (SRC) methods are to achieve the highest classification accuracy, assuming the same losses for different misclassifications. This assumption...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2016-01-01
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| Series: | Scientific Programming |
| Online Access: | http://dx.doi.org/10.1155/2016/8035089 |