Fading Affect Bias: Improving the Trade-Off Between Accuracy and Efficiency in Feature Clustering

Wang et al. "Fading Affect Bias: Improving the Trade-Off Between Accuracy and Efficiency in Feature Clustering." IEEE/CVF Winter Conference on Applications of Computer Vision, 2018. doi:10.1109/WACV.2018.00090

[Wang et al. "Fading Affect Bias: Improving the Trade-Off Between Accuracy and Efficiency in Feature Clustering." IEEE/CVF Winter Conference on Applications of Computer Vision, 2018.](https://mlanthology.org/wacv/2018/wang2018wacv-fading/) doi:10.1109/WACV.2018.00090

@inproceedings{wang2018wacv-fading,
  title     = {{Fading Affect Bias: Improving the Trade-Off Between Accuracy and Efficiency in Feature Clustering}},
  author    = {Wang, Ziyin and Farhand, Sepehr and Tsechpenakis, Gavriil},
  booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
  year      = {2018},
  pages     = {775-783},
  doi       = {10.1109/WACV.2018.00090},
  url       = {https://mlanthology.org/wacv/2018/wang2018wacv-fading/}
}