Extensions of Ica as Models of Natural Images and Visual Processing

@inproceedings{Hyvrinen2003ExtensionsOI,
  title={Extensions of Ica as Models of Natural Images and Visual Processing},
  author={Aapo Hyv{\"a}rinen and Patrik O. Hoyer and Jarmo Hurri},
  year={2003}
}
Using statistical models one can estimate features from natural images, such as images that we see in everyday life. Such models can also be used in computional visual neuroscience by relating the estimated features to the response properties of neurons in the brain. A seminal model for natural images was linear sparse coding which, in fact, turned out to be equivalent to ICA. In these linear generative models, the columns of the mixing matrix give the basis vectors (features) that are adapted… CONTINUE READING

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