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作者:C Boutsidis2008被引用次数:78 — ... of the fast Johnson-Lindestrauss transform, we present a fast random projection type approximation algorithm for the NNLS problem.
作者:C Boutsidis2009被引用次数:78 — Constrained least-squares regression problems, such as the Nonnegative Least Squares (NNLS) problem, where the variables are restricted to ...
作者:C Boutsidis2009被引用次数:78 — Constrained least-squares regression problems, such as the Non- negative Least Squares (NNLS) problem, where the variables are.
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Abstract Constrained least-squares regression problems, such as the Nonnegative Least Squares (NNLS) problem, where the variables are restricted to take ...
^ Boutsidis, Christos; Drineas, Petros (2009). "Random projections for the nonnegative least-squares problem". Linear Algebra and Its Applications. 431 (5–7): ...
作者:V Menon2016被引用次数:3 — Nonnegative least squares, a state-of-the-art approach to endmember abundance estimation in the hyperspectral-unmixing problem, is coupled with random ...
Date of Conference: 21-24 Aug. 2016
Date Added to IEEE Xplore: 19 October 2017
DOI: 10.1109/WHISPERS.2016.8071796
作者:V Menon被引用次数:3 — RANDOM-PROJECTION-BASED NONNEGATIVE LEAST SQUARES FOR. HYPERSPECTRAL IMAGE UNMIXING. Vineetha Menon, Qian Du, James E. Fowler.
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作者:A Fattahi — Bertsekas DP (2009) Convex optimization theory. Belmont: Athena Scientific. Boutsidis C, Drineas P (2009) Random projections for the non-negative least-squares ...
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作者:D Kim被引用次数:36 — The NNLS algorithm of Lawson and Hanson [11] is an active set method, and was the de facto method for solving (1.2) for many years. Recently Bro and Jong [7] ...
Michael W. Berry, Kyle A. Gallivan, Efstratios Gallopoulos — 2012Computers
Bertsekas, D.P.: On the Goldstein-Levitin-Poljak gradient projection method. ... C.: Random projections for the nonnegative least-squares problem.

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