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» New Algorithms for Statistical Analysis of Interval Data
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BMCBI
2005
122views more  BMCBI 2005»
15 years 4 months ago
FACT - a framework for the functional interpretation of high-throughput experiments
Background: Interpreting the results of high-throughput experiments, such as those obtained from DNA-microarrays, is an often time-consuming task due to the high number of data-po...
Felix Kokocinski, Nicolas Delhomme, Gunnar Wrobel,...
SIGGRAPH
1994
ACM
15 years 9 months ago
A fast shadow algorithm for area light sources using backprojection
The fast identification of shadow regions due to area light sources is necessary for realistic rendering and for discontinuity meshing for global illumination. A new shadow-determ...
George Drettakis, Eugene Fiume
ESA
2008
Springer
136views Algorithms» more  ESA 2008»
15 years 6 months ago
Oblivious Randomized Direct Search for Real-Parameter Optimization
The focus is on black-box optimization of a function f : RN R given as a black box, i. e. an oracle for f-evaluations. This is commonly called direct search, and in fact, most meth...
Jens Jägersküpper
CVPR
2006
IEEE
16 years 7 months ago
Learning Patch Dependencies for Improved Pose Mismatched Face Verification
Most pose robust face verification algorithms, which employ 2D appearance, rely heavily on statistics gathered from offline databases containing ample facial appearance variation ...
Simon Lucey, Tsuhan Chen
BMCBI
2010
144views more  BMCBI 2010»
15 years 5 months ago
Super-sparse principal component analyses for high-throughput genomic data
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawita...