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» On the Hamkins approximation property
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MP
2002
176views more  MP 2002»
15 years 12 days ago
UOBYQA: unconstrained optimization by quadratic approximation
UOBYQA is a new algorithm for general unconstrained optimization calculations, that takes account of the curvature of the objective function, F say, by forming quadratic models by ...
M. J. D. Powell
119
Voted
TNN
2010
148views Management» more  TNN 2010»
14 years 7 months ago
Generalized low-rank approximations of matrices revisited
Compared to Singular Value Decomposition (SVD), Generalized Low Rank Approximations of Matrices (GLRAM) can consume less computation time, obtain higher compression ratio, and yiel...
Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan
142
Voted

Publication
700views
16 years 9 months ago
Optimal Approximations by Piecewise Smooth Functions and Associated Variational Problems - [ Mumford-Shah ]
"The purpose of this paper is to introduce and study the most basic properties of three new variational problems which are suggested by applications to computer vision. In com...
David Mumford and Jayant Shah
208
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ICDE
2006
IEEE
144views Database» more  ICDE 2006»
16 years 2 months ago
Approximately Processing Multi-granularity Aggregate Queries over Data Streams
Aggregate monitoring over data streams is attracting more and more attention in research community due to its broad potential applications. Existing methods suffer two problems, 1...
Shouke Qin, Weining Qian, Aoying Zhou
DILS
2007
Springer
15 years 7 months ago
Fast Approximate Duplicate Detection for 2D-NMR Spectra
2D-Nuclear magnetic resonance (NMR) spectroscopy is a powerful analytical method to elucidate the chemical structure of molecules. In contrast to 1D-NMR spectra, 2D-NMR spectra cor...
Björn Egert, Steffen Neumann, Alexander Hinne...