Unsupervised Stream Weight Estimation using Anti-Models

@article{SnchezSoto2007UnsupervisedSW,
  title={Unsupervised Stream Weight Estimation using Anti-Models},
  author={Eduardo S{\'a}nchez-Soto and Alexandros Potamianos and Khalid Daoudi},
  journal={2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07},
  year={2007},
  volume={4},
  pages={IV-365-IV-368}
}
In this paper, a novel solution to the problem of unsupervised stream weight estimation for multi-stream classification tasks is proposed. Our work is based on theoretical results in A. Potamianos et al. (2006) for the two-class problem were the optimal stream weights are shown to be inversely proportional to the single stream misclassification error. These two-class results are applied to the multi-class problem by using models and "anti-models" (class-specific background models) thus posing… CONTINUE READING