Discriminant Independent Component Analysis as a subspace representation

@article{Long2006DiscriminantIC,
  title={Discriminant Independent Component Analysis as a subspace representation},
  author={Fei Long and Jinsong He and Xueyi Ye and Zhenquan Zhuang and Bin Li},
  journal={Journal of Electronics (China)},
  year={2006},
  volume={23},
  pages={103-106}
}
Subspace modeling plays an important role in face recognition. Independent Component Analysis (ICA), a multivariable statistical analysis technique, can be seen as an extension of traditional Principal Component Analysis (PCA) technique, which addresses high order statistics as well as second order statistics. In this paper, a new scheme of subspace-based representation called Discriminant Independent Component Analysis (DICA) is proposed, which combines the strength of unsupervised learning of… CONTINUE READING

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Discriminant Independent Component Analysis

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