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» High-Level Optimization via Automated Statistical Modeling
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ICIP
1995
IEEE
14 years 9 months ago
Multiresolution model development for overlapping trees via canonical correlation analysis
Recently a class of multiscale stochastic models has been introducedin which Gaussian random processes are described by scale-recursive dynamics that are indexed by the nodes of a...
Paul W. Fieguth, William W. Irving, Alan S. Willsk...
BMCBI
2010
144views more  BMCBI 2010»
13 years 2 months ago
Optimizing Transformations for Automated, High Throughput Analysis of Flow Cytometry Data
Background: In a high throughput setting, effective flow cytometry data analysis depends heavily on proper data preprocessing. While usual preprocessing steps of quality assessmen...
Greg Finak, Juan-Manuel Perez, Andrew Weng, Raphae...
DAC
2006
ACM
14 years 8 months ago
Criticality computation in parameterized statistical timing
Chips manufactured in 90 nm technology have shown large parametric variations, and a worsening trend is predicted. These parametric variations make circuit optimization difficult ...
Jinjun Xiong, Vladimir Zolotov, Natesan Venkateswa...
DAC
2008
ACM
14 years 8 months ago
Path smoothing via discrete optimization
A fundamental problem in timing-driven physical synthesis is the reduction of critical paths in a design. In this work, we propose a powerful new technique that moves (and can als...
Michael D. Moffitt, David A. Papa, Zhuo Li, Charle...
JSS
2010
136views more  JSS 2010»
13 years 2 months ago
Automated diagnosis of feature model configurations
Software product-lines (SPLs) are software architectures that can be readily reconfigured for different project requirements. A key part of an SPL is a model that captures the rul...
Jules White, David Benavides, Douglas C. Schmidt, ...