A unified framework for sparse non-negative least squares using multiplicative updates and the non-negative matrix factorization problem
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We study the sparse non-negative least squares (S-NNLS) problem. S-NNLS occurs naturally in a wide variety of applications where an unknown, non-negative quantity must be recovered from linear measurements. We present a unified framework for S-NNLS based on a ... ...
