Discriminatively regularized least-squares classification

  title={Discriminatively regularized least-squares classification},
  author={Hui Xue and Songcan Chen and Qiang Yang},
  journal={Pattern Recognition},
Over the past decades, regularization theory is widely applied in various areas of machine learning to derive a large family of novel algorithms. Traditionally, regularization focuses on smoothing only, and does not fully utilize the underlying discriminative knowledge which is vital for classification. In this paper, we propose a novel regularization algorithm in the least-squares sense, called Discriminatively Regularized Least-Squares Classification (DRLSC) method, which is specifically… CONTINUE READING