TSFS: A Novel Algorithm for Single View Co-training

  title={TSFS: A Novel Algorithm for Single View Co-training},
  author={Wen Zhang and Quan Zheng},
  journal={2009 International Joint Conference on Computational Sciences and Optimization},
Co-training has been validated to be effective in various applications. However, it is a challenging task to apply co-training on the data without two independent and "good enough" views. In this paper, we propose a novel subspace feature set splitting algorithm, called Two-view Subspace Feature Splitting (TSFS), to make co-training better usable on single view data. We first project both labeled and unlabeled data into a lower dimensional subspace through Singular Value Decomposition (SVD), in… CONTINUE READING


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