sparse coding

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Sparse coding is a probabilistic model of natural images where each region of an image is represented as a linaer combination of a small number of components drawn from a dictionary. When the model is fit to natural images, the dictionary elements resemble the receptive fields of cells in the primary visual cortex.


This concept has the prerequisites:

Core resources (read/watch one of the following)


Emergence of simple-cell receptive field properties by learning a sparse code for natural images
Authors: Bruno A. Olshausen,David J. Field


See also

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