Fast and Robust Archetypal Analysis for Representation Learning

@article{Chen2014FastAR,
  title={Fast and Robust Archetypal Analysis for Representation Learning},
  author={Yuansi Chen and Julien Mairal and Za{\"i}d Harchaoui},
  journal={2014 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2014},
  pages={1478-1485}
}
We revisit a pioneer unsupervised learning technique called archetypal analysis, [5] which is related to successful data analysis methods such as sparse coding [18] and non-negative matrix factorization [19]. Since it was proposed, archetypal analysis did not gain a lot of popularity even though it produces more interpretable models than other alternatives. Because no efficient implementation has ever been made publicly available, its application to important scientific problems may have been… CONTINUE READING

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