An Efficient Approach to Informative Feature Extraction from Multimodal Data

@article{Wang2019AnEA,
  title={An Efficient Approach to Informative Feature Extraction from Multimodal Data},
  author={L. Wang and J. Wu and Shao-Lun Huang and L. Zheng and Xiangxiang Xu and Lin Zhang and J. Huang},
  journal={ArXiv},
  year={2019},
  volume={abs/1811.08979}
}
One primary focus in multimodal feature extraction is to find the representations of individual modalities that are maximally correlated. [...] Key Method Specifically, our framework prevents the "hard" whitening constraints, while simultaneously preserving the same feature geometry as in the HGR maximal correlation. The objective of Soft-HGR is straightforward, only involving two inner products, which guarantees the efficiency and stability in optimization.Expand
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