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» High-Level Optimization via Automated Statistical Modeling
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VLSID
2005
IEEE
167views VLSI» more  VLSID 2005»
14 years 8 months ago
A Methodology and Tooling Enabling Application Specific Processor Design
This paper presents a highly efficient processor design methodology based on the LISA 2.0 language. Typically the architecture design phase is dominated by an iterative processor ...
Andreas Hoffmann, Frank Fiedler, Achim Nohl, Suren...
ICIP
2000
IEEE
14 years 9 months ago
Statistical Threshold Design for the Two-State Signal-Dependent Rank Order Mean Filter
The signal-dependent rank order mean (SD-ROM) ?lter is effective at removing high levels of impulse noise from 2D scalar-valued signals. Excellent results have been presented for ...
Michael S. Moore, Sanjit K. Mitra
GECCO
2006
Springer
191views Optimization» more  GECCO 2006»
13 years 11 months ago
Automating the drug scheduling with different toxicity clearance in cancer chemotherapy via evolutionary computation
The toxicity of an anticancer drug is cleared from the body by different processes, including saturable metabolic and nonsaturable renal-excretion pathways. According to the princ...
Yong Liang, Kwong-Sak Leung, Tony Shu Kam Mok
ICCV
2011
IEEE
12 years 7 months ago
Robust Object Pose Estimation via Statistical Manifold Modeling
We propose a novel statistical manifold modeling approach that is capable of classifying poses of object categories from video sequences by simultaneously minimizing the intra-cla...
Liang Mei, Jingen Liu, Alfred Hero, Silvio Savares...
WSC
2008
13 years 10 months ago
Automated execution of simulation studies demonstrated via a simulation of a car
In the automotive area, a huge number of different technologies were developed in the last couples of years. The car manufacturers have to meet the challenge of selecting the most...
Sven Dominka, Eduard Broecker, Frank Schiller