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Combining Feature Subsets in Feature Selection
2005In feature selection, a part of the features is chosen as a new feature subset, while the rest of the features is ignored. The neglected features still, however, may contain useful information for discriminating the data classes. To make use of this information, the combined classifier approach can be used.
Marina Skurichina, Robert P. W. Duin
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Feature Grouping-based Feature Selection
2017Feature selection (FS) is a process which aims to select input domain features that are most informative for a given outcome. Unlike other dimensionality reduction techniques, feature selection methods preserve the underlying semantics or meaning of the original data following reduction.
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Optimizing feature selection methods by removing irrelevant features using sparse least squares
Expert Systems With Applications, 2022Hamid Usefi
exaly
Towards an Unsupervised Feature Selection Method for Effective Dynamic Features
IEEE Access, 2021Naif Almusallam +2 more
exaly
Online feature selection for multi-source streaming features
Information Sciences, 2022Dianlong You +2 more
exaly
Feature Selection on 2D and 3D Geometric Features to Improve Facial Expression Recognition
Sensors, 2020Vianney Pérez-Gómez +2 more
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Incremental feature selection by sample selection and feature-based accelerator
Applied Soft Computing, 2022Yanyan Yang 0001 +4 more
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Online selection of discriminative tracking features
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005Robert T Collins +2 more
exaly