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EUROCAST
2003
Springer
134views Hardware» more  EUROCAST 2003»
16 years 3 days ago
Volumetric Texture Description and Discriminant Feature Selection for MRI
This paper considers the problem of texture description and feature selection for the classification of tissues in 3D Magnetic Resonance data. Joint statistical measures like grey...
Abhir Bhalerao, Constantino Carlos Reyes-Aldasoro
GECCO
2003
Springer
171views Optimization» more  GECCO 2003»
16 years 2 days ago
Genetic Algorithm Optimized Feature Transformation - A Comparison with Different Classifiers
When using a Genetic Algorithm (GA) to optimize the feature space of pattern classification problems, the performance improvement is not only determined by the data set used, but a...
Zhijian Huang, Min Pei, Erik D. Goodman, Yong Huan...
METRICS
1999
IEEE
15 years 11 months ago
Metrics for Quantifying the Disparity, Concentration, and Dedication between Program Components and Features
One of the most important steps towards effective software maintenance of a large complicated system is to understand how program features are spread over the entire system and th...
W. Eric Wong, Swapna S. Gokhale, Joseph Robert Hor...
CIKM
2008
Springer
15 years 8 months ago
Ranked feature fusion models for ad hoc retrieval
We introduce the Ranked Feature Fusion framework for information retrieval system design. Typical information retrieval formalisms such as the vector space model, the bestmatch mo...
Jeremy Pickens, Gene Golovchinsky
VAMOS
2010
Springer
15 years 8 months ago
Introducing TVL, a Text-based Feature Modelling
Feature models are a common way to represent variability in software product line engineering. For this purpose, most authors use a graphical notation based on FODA. The main drawb...
Quentin Boucher, Andreas Classen, Paul Faber, Patr...