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» Parallelizing Feature Selection
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AOSD
2008
ACM
15 years 5 months ago
Edicts: implementing features with flexible binding times
In a software product line, the binding time of a feature is the time at which one decides to include or exclude a feature from a product. Typical binding site implementations are...
Venkat Chakravarthy, John Regehr, Eric Eide
123
Voted
BMCBI
2006
139views more  BMCBI 2006»
15 years 3 months ago
DNA Molecule Classification Using Feature Primitives
Background: We present a novel strategy for classification of DNA molecules using measurements from an alpha-Hemolysin channel detector. The proposed approach provides excellent c...
Raja Tanveer Iqbal, Matthew Landry, Stephen Winter...
TMI
2010
122views more  TMI 2010»
15 years 1 months ago
Feature Based Nonrigid Brain MR Image Registration With Symmetric Alpha Stable Filters
—A new feature based nonrigid image registration method for magnetic resonance (MR) brain images is presented in this paper. Each image voxel is represented by a rotation invaria...
Shu Liao, Albert C. S. Chung
GECCO
2008
Springer
206views Optimization» more  GECCO 2008»
15 years 4 months ago
Improving accuracy of immune-inspired malware detectors by using intelligent features
In this paper, we show that a Bio-inspired classifier’s accuracy can be dramatically improved if it operates on intelligent features. We propose a novel set of intelligent feat...
M. Zubair Shafiq, Syed Ali Khayam, Muddassar Faroo...
VIP
2003
15 years 4 months ago
Optimal Selection of Image Segmentation Algorithms Based on Performance Prediction
Using different algorithms to segment different images is a quite straightforward strategy for automated image segmentation. But the difficulty of the optimal algorithm selection ...
Yong Xia, David Dagan Feng, Rongchun Zhao