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» Optimizing for Reduced Code Space using Genetic Algorithms
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ICCV
2009
IEEE
1735views Computer Vision» more  ICCV 2009»
16 years 7 months ago
Coded Aperture Pairs for Depth From Defocus
The classical approach to depth from defocus uses two images taken with circular apertures of different sizes. We show in this paper that the use of a circular aperture severely...
Changyin Zhou, Stephen Lin, Shree Nayar
SIAMSC
2008
198views more  SIAMSC 2008»
15 years 2 months ago
Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
T. Bui-Thanh, Karen Willcox, Omar Ghattas
VIS
2003
IEEE
116views Visualization» more  VIS 2003»
16 years 3 months ago
Space Efficient Fast Isosurface Extraction for Large Datasets
In this paper, we present a space efficient algorithm for speeding up isosurface extraction. Even though there exist algorithms that can achieve optimal search performance to iden...
Udeepta Bordoloi, Han-Wei Shen
ASPLOS
2008
ACM
15 years 4 months ago
SoftSig: software-exposed hardware signatures for code analysis and optimization
Many code analysis techniques for optimization, debugging, or parallelization need to perform runtime disambiguation of sets of addresses. Such operations can be supported efficie...
James Tuck, Wonsun Ahn, Luis Ceze, Josep Torrellas
GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
15 years 8 months ago
Genetically designed heuristics for the bin packing problem
The bin packing problem (BPP) is a real-world problem that arises in different industrial applications related to minimization of space or time. The aim of this research is to au...
Oana Muntean