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» An Auxiliary Variational Method
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ADBIS
1994
Springer
87views Database» more  ADBIS 1994»
14 years 1 months ago
Variations of R-Tree Structure for Indexing of Spatial Objects
The data structures suitable for indexing of large spatial objects in databases are considered. Some generalizations of existing tree methods concerned approximation of spatial ob...
M. G. Martynov
ICIP
2006
IEEE
14 years 11 months ago
Variational Local Structure Estimation for Image Super-Resolution
Super-resolution is an important but difficult problem in image/video processing. If a video sequence or some training set other than the given low-resolution image is available, ...
Heng Lian
JMLR
2002
73views more  JMLR 2002»
13 years 9 months ago
Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components
We apply a variational method to automatically determine the number of mixtures of independent components in high-dimensional datasets, in which the sources may be nonsymmetricall...
Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski
ASPDAC
2007
ACM
144views Hardware» more  ASPDAC 2007»
14 years 1 months ago
Parameter Reduction for Variability Analysis by Slice Inverse Regression (SIR) Method
With semiconductor fabrication technologies scaled below 100 nm, the design-manufacturing interface becomes more and more complicated. The resultant process variability causes a nu...
Alexander V. Mitev, Michael Marefat, Dongsheng Ma,...
WSC
2001
13 years 11 months ago
Resampling methods for input modeling
Stochastic simulation models are used to predict the behavior of real systems whose components have random variation. The simulation model generates artificial random quantities b...
Russell R. Barton, Lee Schruben