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» Process variation dimension reduction based on SVD
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IBPRIA
2009
Springer
13 years 11 months ago
Textural Features for Hyperspectral Pixel Classification
Hyperspectral remote sensing provides data in large amounts from a wide range of wavelengths in the spectrum and the possibility of distinguish subtle differences in the image. For...
Olga Rajadell, Pedro García-Sevilla, Filibe...
BMCBI
2006
142views more  BMCBI 2006»
13 years 8 months ago
Improving the Performance of SVM-RFE to Select Genes in Microarray Data
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
Yuanyuan Ding, Dawn Wilkins
IPPS
2010
IEEE
13 years 5 months ago
Supporting fault tolerance in a data-intensive computing middleware
Over the last 2-3 years, the importance of data-intensive computing has increasingly been recognized, closely coupled with the emergence and popularity of map-reduce for developin...
Tekin Bicer, Wei Jiang, Gagan Agrawal
CODES
2008
IEEE
14 years 2 months ago
System-level mitigation of WID leakage power variability using body-bias islands
Adaptive Body Biasing (ABB) is a popularly used technique to mitigate the increasing impact of manufacturing process variations on leakage power dissipation. The efficacy of the ...
Siddharth Garg, Diana Marculescu
DAGM
2006
Springer
13 years 11 months ago
Diffusion-Like Reconstruction Schemes from Linear Data Models
In this paper we extend anisotropic diffusion with a diffusion tensor to be applicable to data that is well modeled by linear models. We focus on its variational theory, and invest...
Hanno Scharr