The small sample size problem of ICA: A comparative study and analysis

@article{Deng2012TheSS,
  title={The small sample size problem of ICA: A comparative study and analysis},
  author={Weihong Deng and Yebin Liu and Jiani Hu and Jun Guo},
  journal={Pattern Recognition},
  year={2012},
  volume={45},
  pages={4438-4450}
}
On the small sample size problems such as appearance-based recognition, empirical studies have shown that ICA projections have trivial effect on improving the recognition performance over whitened PCA. However, what causes the ineffectiveness of ICA is still an open question. In this study, we find out that this small sample size problem of ICA is caused by a special distributional phenomenon of the high-dimensional whitened data: all data points are similarly distant, and nearly perpendicular… CONTINUE READING
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