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» Process variation dimension reduction based on SVD
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IBPRIA
2009
Springer
15 years 1 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»
14 years 9 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
14 years 7 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
15 years 4 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
15 years 1 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