Robert Plemmons
Robert Plemmons
Reynolds Professor of Computer Science and Mathematics, Emeritus Wake Forest University
Verified email at - Homepage
Cited by
Cited by
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
Parallel algorithms for dense linear algebra computations
KA Gallivan, RJ Plemmons, AH Sameh
SIAM review 32 (1), 54-135, 1990
Nonnegative matrices in the mathematical sciences
RJ Plemmons
Society for Industrial and Applied Mathematics, 1994
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 for ill—posed problems
M Hanke, J Nagy, R Plemmons
Numerical linear algebra, 141-164, 2011
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
Generalized inverses of certain Toeplitz matrices
RE Cline, RJ Plemmons, G Worm
Linear Algebra and Its Applications 8 (1), 25-33, 1974
Iterative image restoration using approximate inverse preconditioning
JG Nagy, RJ Plemmons, TC Torgersen
IEEE Transactions on Image Processing 5 (7), 1151-1162, 1996
Least squares modifications with inverse factorizations: parallel implications
CT Pan, RJ Plemmons
Advances in Parallel Computing 1, 109-127, 1990
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