Discriminative Least Squares Regression for Multiclass Classification and Feature Selection

@article{Xiang2012DiscriminativeLS,
  title={Discriminative Least Squares Regression for Multiclass Classification and Feature Selection},
  author={Shiming Xiang and Feiping Nie and Gaofeng Meng and Chunhong Pan and Changshui Zhang},
  journal={IEEE Transactions on Neural Networks and Learning Systems},
  year={2012},
  volume={23},
  pages={1738-1754}
}
This paper presents a framework of discriminative least squares regression (LSR) for multiclass classification and feature selection. The core idea is to enlarge the distance between different classes under the conceptual framework of LSR. First, a technique called ε-dragging is introduced to force the regression targets of different classes moving along opposite directions such that the distances between classes can be enlarged. Then, the ε-draggings are integrated into the LSR model for… CONTINUE READING
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