Robert Plemmons
Robert Plemmons
Reynolds Professor of Computer Science and Mathematics, Emeritus Wake Forest University
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Nonnegative matrices in the mathematical sciences
A Berman, RJ Plemmons
Society for Industrial and Applied Mathematics, 1994
Algorithms and applications for approximate nonnegative matrix factorization
MW Berry, M Browne, AN Langville, VP Pauca, RJ Plemmons
Computational statistics & data analysis 52 (1), 155-173, 2007
Document clustering using nonnegative matrix factorization
F Shahnaz, MW Berry, VP Pauca, RJ Plemmons
Information Processing & Management 42 (2), 373-386, 2006
Nonnegative matrix factorization for spectral data analysis
VP Pauca, J Piper, RJ Plemmons
Linear algebra and its applications 416 (1), 29-47, 2006
Nonnegative matrices in dynamic systems
A Berman, M Neumann, RJ Plemmons, RJ Stern
Wiley-Interscience, 1989
M-matrix characterizations. I—nonsingular M-matrices
RJ Plemmons
Linear Algebra and its Applications 18 (2), 175-188, 1977
Text mining using non-negative matrix factorizations
VP Pauca, F Shahnaz, MW Berry, RJ Plemmons
Proceedings of the 2004 SIAM International Conference on Data Mining, 452-456, 2004
Nonnegative matrices in the mathematical sciences
RJ Plemmons
Society for Industrial and Applied Mathematics, 1994
Parallel algorithms for dense linear algebra computations
KA Gallivan, RJ Plemmons, AH Sameh
SIAM review 32 (1), 54-135, 1990
Nonnegativity constraints in numerical analysis
D Chen, RJ Plemmons
The birth of numerical analysis, 109-139, 2010
Convergence of parallel multisplitting iterative methods for M-matrices
M Neumann, RJ Plemmons
Linear algebra and its applications 88, 559-573, 1987
Structured low rank approximation
MT Chu, RE Funderlic, RJ Plemmons
Linear algebra and its applications 366, 157-172, 2003
Optimality, computation, and interpretation of nonnegative matrix factorizations
M Chu, F Diele, R Plemmons, S Ragni
SIAM Journal on Matrix Analysis, 2004
Positive diagonal solutions to the Lyapunov equations
GP Barker, A Berman, RJ Plemmons
Linear and Multilinear Algebra 5 (4), 249-256, 1978
Preconditioned iterative regularization
M Hanke, JG Nagy, RJ Plemmons
Numerical linear algebra, 141-163, 1992
Cones and iterative methods for best least squares solutions of linear systems
A Berman, RJ Plemmons
SIAM Journal on Numerical Analysis 11 (1), 145-154, 1974
Deblurring and sparse unmixing for hyperspectral images
XL Zhao, F Wang, TZ Huang, MK Ng, RJ Plemmons
IEEE Transactions on Geoscience and Remote Sensing 51 (7), 4045-4058, 2013
Least squares modifications with inverse factorizations: parallel implications
CT Pan, RJ Plemmons
Advances in Parallel Computing 1, 109-127, 1990
Iterative image restoration using approximate inverse preconditioning
JG Nagy, RJ Plemmons, TC Torgersen
IEEE Transactions on Image Processing 5 (7), 1151-1162, 1996
FFT-based preconditioners for Toeplitz-block least squares problems
RH Chan, JG Nagy, RJ Plemmons
SIAM journal on numerical analysis 30 (6), 1740-1768, 1993
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