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» Analysis and Application of Adaptive Sampling
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BMCBI
2005
104views more  BMCBI 2005»
13 years 10 months ago
A statistical approach for array CGH data analysis
Background: Microarray-CGH experiments are used to detect and map chromosomal imbalances, by hybridizing targets of genomic DNA from a test and a reference sample to sequences imm...
Franck Picard, Stéphane Robin, Marc Laviell...
ICAC
2007
IEEE
14 years 4 months ago
Autonomous Return on Investment Analysis of Additional Processing Resources
As the use of virtualization and partitioning grows, it becomes possible to deploy a multi-tier web-based application with a variable amount of computing power. This introduces th...
Jonathan Wildstrom, Peter Stone, Emmett Witchel
FGCS
2006
121views more  FGCS 2006»
13 years 10 months ago
Real-time multi-scale brain data acquisition, assembly, and analysis using an end-to-end OptIPuter
At iGrid 2005 we demonstrated the transparent operation of a biology experiment on a test-bed of globally distributed visualization, storage, computational, and network resources....
Rajvikram Singh, Nicholas Schwarz, Nut Taesombut, ...
CVGIP
2006
158views more  CVGIP 2006»
13 years 10 months ago
Adaptive grid optical tomography
Image-based modeling of semi-transparent, dynamic phenomena is a challenging task. We present an optical tomography method that uses an adaptive grid for the reconstruction of a t...
Ivo Ihrke, Marcus A. Magnor
CVPR
2000
IEEE
14 years 1 months ago
Adaptive Metric nearest Neighbor Classification
Nearest neighbor classification assumes locally constant class conditional probabilities. This assumption becomes invalid in high dimensions with finite samples due to the curse o...
Carlotta Domeniconi, Dimitrios Gunopulos, Jing Pen...