Multiview Cauchy Estimator Feature Embedding for Depth and Inertial Sensor-Based Human Action Recognition

@article{Guo2016MultiviewCE,
  title={Multiview Cauchy Estimator Feature Embedding for Depth and Inertial Sensor-Based Human Action Recognition},
  author={Yanan Guo and Dapeng Tao and Weifeng Liu and Jun Cheng},
  journal={IEEE Transactions on Systems, Man, and Cybernetics: Systems},
  year={2016},
  volume={47},
  pages={617-627}
}
  • Yanan GuoDapeng Tao Jun Cheng
  • Published 7 August 2016
  • Computer Science
  • IEEE Transactions on Systems, Man, and Cybernetics: Systems
The ever-growing popularity of Kinect and inertial sensors has prompted intensive research efforts on human action recognition. [] Key Method By minimizing empirical risk, MCEFE integrates the encoded complementary information in multiple views to find the unified data representation and the projection matrices. To enhance robustness to outliers, the Cauchy estimator is imposed on the reconstruction error.

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