A study of fuzzy logic ensemble system performance on face recognition problem

Polyakova, A S; Lipinskiy, Leonid

doi:10.1088/1757-899x/173/1/012013

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Cited by 8 publications

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“…The task of selecting the features that are relevant for recognition purposes is far from trivial, as facial images datasets are scarce in samples, abundant in features, and redundancy is commonplace. As in the case of microarrays, filter feature selection methods have been the most popular, followed by classification ensembles, as in the works carried out in [122,123,124]. Feature selection ensembles have also been proposed in this area, as in [125,126].…”

Section: Fields Of Applicationmentioning

confidence: 99%