Soft Nonnegative Matrix Co-Factorization

@article{Seichepine2014SoftNM,
  title={Soft Nonnegative Matrix Co-Factorization},
  author={Nicolas Seichepine and Slim Essid and C{\'e}dric F{\'e}votte and Olivier Capp{\'e}},
  journal={IEEE Transactions on Signal Processing},
  year={2014},
  volume={62},
  pages={5940-5949}
}
This work introduces a new framework for nonnegative matrix factorization (NMF) in multisensor or multimodal data configurations, where taking into account the mutual dependence that exists between the related parallel streams of data is expected to improve performance. In contrast with previous works that focused on co-factorization methods -where some factors are shared by the different modalities-we propose a soft co-factorization scheme which accounts for possible local discrepancies across… CONTINUE READING
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