Discriminant Laplacian Embedding

@inproceedings{Wang2010DiscriminantLE,
  title={Discriminant Laplacian Embedding},
  author={Hua Wang and Heng Huang and Chris H. Q. Ding},
  booktitle={AAAI},
  year={2010}
}
Many real life applications brought by modern technologies often have multiple data sources, which are usually characterized by both attributes and pairwise similarities at the same time. For example in webpage ranking, a webpage is usually represented by a vector of term values, and meanwhile the internet linkages induce pairwise similarities among the webpages. Although both attributes and pairwise similarities are useful for class membership inference, many traditional embedding algorithms… CONTINUE READING
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