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BMCBI
2006
99views more  BMCBI 2006»
13 years 10 months ago
Genetic algorithm learning as a robust approach to RNA editing site prediction
Background: RNA editing is one of several post-transcriptional modifications that may contribute to organismal complexity in the face of limited gene complement in a genome. One f...
James Thompson, Shuba Gopal
BMCBI
2005
135views more  BMCBI 2005»
13 years 10 months ago
A robust two-way semi-linear model for normalization of cDNA microarray data
Background: Normalization is a basic step in microarray data analysis. A proper normalization procedure ensures that the intensity ratios provide meaningful measures of relative e...
Deli Wang, Jian Huang, Hehuang Xie, Liliana Manzel...
CVPR
2011
IEEE
13 years 1 months ago
Topologically-Robust 3D Shape Matching Based on Diffusion Geometry and Seed Growing
3D Shape matching is an important problem in computer vision. One of the major difficulties in finding dense correspondences between 3D shapes is related to the topological disc...
Avinash Sharma, Radu Horaud, Jan Cech, Edmond Boye...
SI3D
2009
ACM
14 years 5 months ago
Soft irregular shadow mapping: fast, high-quality, and robust soft shadows
We introduce a straightforward, robust, and efficient algorithm for rendering high-quality soft shadows in dynamic scenes. Each frame, points in the scene visible from the eye ar...
Gregory S. Johnson, Warren A. Hunt, Allen Hux, Wil...
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
14 years 4 months ago
Analyzing heuristic performance with response surface models: prediction, optimization and robustness
This research uses a Design of Experiments (DOE) approach to build a predictive model of the performance of a combinatorial optimization heuristic over a range of heuristic tuning...
Enda Ridge, Daniel Kudenko