New Robust Metric Learning Model Using Maximum Correntropy Criterion

@inproceedings{Xu2018NewRM,
  title={New Robust Metric Learning Model Using Maximum Correntropy Criterion},
  author={Jie Xu and Lei Luo and Cheng Deng and Heng Huang},
  booktitle={KDD},
  year={2018}
}
topic with many real-world applications. Most existing metric learning methods aim to learn an optimal Mahalanobis distance matrix M, under which data samples from the same class are forced to be close to each other and those from different classes are pushed far away. The Mahalanobis distance matrix M can be factorized as M = L'L, and the Mahalanobis… CONTINUE READING