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ICANN
2010
Springer
15 years 16 days ago
2010
Springer
We propose the so-called Support Feature Machine (SFM) as a novel approach to feature selection for classification, based on minimisation of the zero norm of a separating hyperplan...
132
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ICIP
2010
IEEE
15 years 15 days ago
2010
IEEE
Feature selection is an important issue for object detection. In this paper, we propose an effective wrapper-based feature selection scheme using Binary Particle Swarm Optimizatio...
123
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ICDAR
2009
IEEE
15 years 9 days ago
2009
IEEE
When selecting features with the sequential forward floating selection (SFFS), the "nesting effect" is avoided, which is a common phenomenon if the computationally less ...
138
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PR
2010
15 years 29 days ago
2010
Selecting relevant features for Support Vector Machine (SVM) classifiers is important for a variety of reasons such as generalization performance, computational efficiency, and ...
131
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ICMLA
2009
15 years 9 days ago
2009
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...