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GRC
2010
IEEE
15 years 4 months ago
A Comparative Study of Threshold-Based Feature Selection Techniques
Given high-dimensional software measurement data, researchers and practitioners often use feature (metric) selection techniques to improve the performance of software quality clas...
Huanjing Wang, Taghi M. Khoshgoftaar, Jason Van Hu...
ICIP
2005
IEEE
16 years 8 months ago
Image denoising in nonlinear scale-spaces: automatic scale selection via cross-validation
Multiscale, i.e. scale-space image analysis is a powerful framework for many image processing tasks. A fundamental issue with such scale-space techniques is the automatic selectio...
George Papandreou, Petros Maragos
ICPR
2006
IEEE
16 years 7 months ago
Scalable Representative Instance Selection and Ranking
Finding a small set of representative instances for large datasets can bring various benefits to data mining practitioners so they can (1) build a learner superior to the one cons...
Xindong Wu, Xingquan Zhu
ICPR
2004
IEEE
16 years 7 months ago
Large Scale Feature Selection Using Modified Random Mutation Hill Climbing
Feature selection is a critical component of many pattern recognition applications. There are two distinct mechanisms for feature selection, namely the wrapper method and the filt...
Anil K. Jain, Michael E. Farmer, Shweta Bapna
SETN
2010
Springer
16 years 1 months ago
Feature Selection for Improved Phone Duration Modeling of Greek Emotional Speech
In the present work we address the problem of phone duration modeling for the needs of emotional speech synthesis. Specifically, relying on ten well known machine learning techniqu...
Alexandros Lazaridis, Todor Ganchev, Iosif Mporas,...