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20112016
most citedA convex model for non-negative matrix factorization and dimensionality reduction on physical space

169 citations · 272 across the 4 of their papers we have counts for

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Showing 2013Show all

2 papers · 1 filter

math.NA2013★ 97 cited

Adaptive Primal-Dual Hybrid Gradient Methods for Saddle-Point Problems

Tom Goldstein, Min Li, Xiaoming Yuan +2

The Primal-Dual hybrid gradient (PDHG) method is a powerful optimization scheme that breaks complex problems into simple sub-steps. Unfortunately, PDHG methods require the user to…

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…