Bilinear Discriminant Component Analysis

  title={Bilinear Discriminant Component Analysis},
  author={Mads Dyrholm and Christoforos Christoforou and Lucas C. Parra},
  journal={Journal of Machine Learning Research},
Factor analysis and discriminant analysis are often used as complementary approaches to identify linear components in two dimensional data arrays. For three dimensional arrays, which may organize data in dimensions such as space, time, and trials, the opportunity arises to combine these two approaches. A new method, Bilinear Discriminant Component Analysis (BDCA), is derived and demonstrated in the context of functional brain imaging data for which it seems ideally suited. The work suggests to… CONTINUE READING
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