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» A Graphical Model for Evolutionary Optimization
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ICPR
2002
IEEE
15 years 8 months ago
Near-Optimal Regularization Parameters for Applications in Computer Vision
Computer vision requires the solution of many ill-posed problems such as optical flow, structure from motion, shape from shading, surface reconstruction, image restoration and ed...
Changjiang Yang, Ramani Duraiswami, Larry S. Davis
ICS
2010
Tsinghua U.
15 years 8 months ago
Small-ruleset regular expression matching on GPGPUs: quantitative performance analysis and optimization
We explore the intersection between an emerging class of architectures and a prominent workload: GPGPUs (General-Purpose Graphics Processing Units) and regular expression matching...
Jamin Naghmouchi, Daniele Paolo Scarpazza, Mladen ...
APGV
2008
ACM
145views Visualization» more  APGV 2008»
15 years 5 months ago
On optimal resampling of view and illumination dependent textures
The use of illumination and view dependent textural information is one way to capture the realistic appearance of genuine materials. One example of such data is the bidirectional ...
Jirí Filip, Mike J. Chantler, Michal Haindl
WSCG
2004
161views more  WSCG 2004»
15 years 4 months ago
Rendering Techniques for Hardware-Accelerated Image-Based CSG
Image-based CSG rendering algorithms for standard graphics hardware rely on multipass rendering that includes reading and writing large amounts of pixel data from and to the frame...
Florian Kirsch, Jürgen Döllner
BMCBI
2008
153views more  BMCBI 2008»
15 years 3 months ago
AWclust: point-and-click software for non-parametric population structure analysis
Background: Population structure analysis is important to genetic association studies and evolutionary investigations. Parametric approaches, e.g. STRUCTURE and L-POP, usually ass...
Xiaoyi Gao, Joshua D. Starmer