Robust multi-class transductive learning with graphs

@article{Liu2009RobustMT,
  title={Robust multi-class transductive learning with graphs},
  author={Wei Liu and Shih-Fu Chang},
  journal={2009 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2009},
  pages={381-388}
}
Graph-based methods form a main category of semi-supervised learning, offering flexibility and easy implementation in many applications. However, the performance of these methods is often sensitive to the construction of a neighborhood graph, which is non-trivial for many real-world problems. In this paper, we propose a novel framework that builds on learning the graph given labeled and unlabeled data. The paper has two major contributions. Firstly, we use a nonparametric algorithm to learn the… CONTINUE READING
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