A Stochastic Algorithm for Probabilistic Independent Component Analysis

@inproceedings{YOUNES2012ASA,
  title={A Stochastic Algorithm for Probabilistic Independent Component Analysis},
  author={BY ST{\'E}PHANIE ALLASSONNI{\`E}RE AND LAURENT YOUNES},
  year={2012}
}
  • BY STÉPHANIE ALLASSONNIÈRE AND LAURENT YOUNES
  • Published 2012
The decomposition of a sample of images on a relevant subspace is a recurrent problem in many different fields from Computer Vision to medical image analysis. We propose in this paper a new learning principle and implementation of the generative decomposition model generally known as noisy ICA (for independent component analysis) based on the SAEM algorithm, which is a versatile stochastic approximation of the standard EM algorithm. We demonstrate the applicability of the method on a large… CONTINUE READING

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