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Collaborating Authors

 Gu, Fanji


Sparse Representation and Its Applications in Blind Source Separation

Neural Information Processing Systems

In this paper, sparse representation (factorization) of a data matrix is first discussed. An overcomplete basis matrix is estimated by using the K means method.


Sparse Representation and Its Applications in Blind Source Separation

Neural Information Processing Systems

In this paper, sparse representation (factorization) of a data matrix is first discussed. An overcomplete basis matrix is estimated by using the K means method.