Igor Fedorov

Multimodal Sparse Bayesian Dictionary Learning Applied to Multimodal Data Classification

The purpose of this work is formulate a Bayesian framework capable of leveraging information from multiple data modalities to jointly learn dictionaries for each modality.

Relevant Publications

  • I. Fedorov, B.D. Rao, T. Q. Nguyen, "Multimodal Sparse Bayesian Dictionary Learning Applied to Multimodal Data Classifiction." IEEE International Conference on Acoustics, Speech and Signal Processing, 2017.