• Corpus ID: 18418088

Blind Source Separation and Independent Component Analysis : A Review

@inproceedings{Choi2004BlindSS,
  title={Blind Source Separation and Independent Component Analysis : A Review},
  author={Seungjin Choi},
  year={2004}
}
Blind source separation (BSS) and independent component analysis (ICA) are generally based on a wide class of unsupervised learning algorithms and they found potential applications in many areas from engineering to neuroscience. A recent trend in BSS is to consider problems in the framework of matrix factorization or more general signals decomposition with probabilistic generative and tree structured graphical models and exploit a priori knowledge about true nature and structure of latent… 

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