Academic Press Inc / MIT Press / Pattern Recognition / Artech House Inc / McGraw-Hill Companies / Oxford University Press / SIAM Journal / Siemens / /
Country
United States / India / / /
Event
Reorganization / /
Facility
University’s Institute / D. L. Hall / Approximate Nearest Neighbor library / College Park / Stanford University / ANN library / Geostatistical Template Library / TABLE Ramani Duraiswami University of Maryland College Park / David M. Mount University of Maryland College Park / National Institute of Technology / University of Maryland / Purdue University / NASA Goddard Space Flight Center / /
IndustryTerm
particle systems / geostatistics applications / approximate algorithms / matrixvector products / symmetric systems / approximate matrix-vector products / final algorithm / matrix-vector products / farthest point clustering algorithm / fixed-radius nearest neighbor search routines / sparse indefinite systems / similar algorithm / approximation algorithms / search radius / ordinary kriging systems / large dense systems / electronic imaging / large ordinary kriging systems / summation algorithms / matrix-vector product / electronic imaging systems / image processing / thePmatrix-vector product / sparse linear systems / electronics / mining / ǫ-exact approximation algorithm / scientific computing / /
NaturalFeature
Moigne mountain / L. mountain / D. M. mountain / N. Memarsadeghi mountain / L. Moigne mountain / N. mountain / J. L. mountain / J. mountain / J. L. Moigne mountain / /
Organization
Applied Engineering and Technology Directorate / National Science Foundation / University of Maryland / MIT / U.S. Government / Yale / Perceptual Interfaces and Reality Lab. / University of Maryland College Park / Purdue University / Computer Science Department / Department of Computer Science / Stanford University / Institute of Technology / National Aeronautics and Space Administration / NASA Goddard Space Flight Center / Oxford University / Department of Petroleum Engineering / NYU / University’s Institute for Advanced Computer Studies / /
Person
Danie Krige / Nargess Memarsadeghi / David Mount / Vikas C. Raykar / Ramani Duraiswami / / /
Position
computer engineer at the Information Systems Division / scientist / professor / mining engineer / co-chair / associate editor / associate professor / /
Product
Taylor / /
ProgrammingLanguage
C / C++ / /
ProvinceOrState
Maryland / Pennsylvania / /
PublishedMedium
Machine Learning / Journal of Computational Physics / Theory of Computing / Lecture Notes in Computer Science / /
Efficient Kriging via Fast Matrix-Vector Products. Nargess Memarsadeghi NASA/GSFC, Code 587