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The basic Non-negation Sparse Coding (NNSC) algorithm behaves both advantages of basic Sparse Coding (SC) and Non-negative Matrix Factorization (NMF). It has been proved to be quite more reasonable than SC in explaining the receptive fields of simple cells in V1 in the primary visual system of mammals, and also suitable to process the larger and high dimension data. However, it ignores class information...
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