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stat.ML2013
A Method for Finding Structured Sparse Solutions to Non-negative Least Squares Problems with Applications
Ernie Esser, Yifei Lou, Jack Xin
Demixing problems in many areas such as hyperspectral imaging and differential optical absorption spectroscopy (DOAS) often require finding sparse nonnegative linear combinations o…
stat.ML2011★ 169 cited
A convex model for non-negative matrix factorization and dimensionality reduction on physical space
Ernie Esser, Michael Möller, Stanley Osher +2
A collaborative convex framework for factoring a data matrix into a non-negative product , with a sparse coefficient matrix , is proposed. We restrict the columns of the…