Work

The choice of informative features based on heterogeneous functionals

Year: 2020

Type: conference-paper

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.

Source: IOP Conference Series Materials Science and Engineering

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

Authors: N Mamatov, N A Niyozmatova, A Samijonov, Sh Juraev, B Abdullayeva

Institutions: Tashkent University of Information Technology, Namangan State University

Language: English

Topic: Face and Expression Recognition

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W3088747463

FWCI: 0.368

Cites: 7

Cited by: 10

Related to: 10