Maqola

The choice of informative features based on heterogeneous functionals

Narzillo MamatovTashkent University Information Technologies named after Al-Kharezmi, Tashkent, UzbekistanNilufar NiyozmatovaTashkent University Information Technologies named after Al-Kharezmi, Tashkent, UzbekistanAbdurashid SamijonovTashkent University Information Technologies named after Al-Kharezmi, Tashkent, UzbekistanSh JuraevNamangan State University, Namangan, UzbekistanB. M. AbdullayevaNamangan State University, Namangan, Uzbekistan

IOP Conference Series Materials Science and Engineeringconference2020en

ABI

Annotatsiya

Abstract One of the classical problems of the theory of pattern recognition is to reduce the dimension of the original feature space from dimension N to dimension N ’, N ’ < N . In the first works on pattern recognition, the task was to construct an informativeness criterion that maps N-dimensional to a space of lower dimension so that a solution can be made in this space. One of the advantages of this criterion is that the classification in a space of lower dimension is faster and easier, and the criterion of being constructed once.

Mavzular

Image Retrieval and Classification Techniques Neural Networks and Applications

Identifikatorlar

DOI: 10.1088/1757-899x/919/4/042009

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