Figure 2: Comparison of the dictionaries obtained with SparseNet and aSSC. We show the results of Sparse Hebbian Learning using two different sparse coding algorithms at convergence (20000 learning steps): (Left) conjugate gradient function (CGF) method as used in SparseNet (Olshausen, 1998) with (Right) COMP as used in aSSC. Filters of the same size as the image patches are presented in a matrix (separated by a black border). Note that their position in the matrix is arbitrary as in ICA.

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