Work

Selection Of Informative Features using The Modified Version Of The Delta Method

Year: 2019

Type: article

Abstract: Currently, the most common criteria for informative features are heuristic criteria related to assessing the separability of given classes and based on the compactness hypothesis fundamental in pattern recognition: with increasing distance between classes, their separability improves. “Good” are those signs that maximize this distance.Although heuristic criteria, although they are widely used in solving practical problems of classification, however, in theoretical terms they are little studied.

Source: International Journal of Innovative Technology and Exploring Engineering

DOI: 10.35940/ijitee.b6590.129219

Authors: Mamatov Narzillo*, Niyozmatova Nilufar, Samijonov Abdurashid, Yuldashev Zafar, Dadakhanov Musokhon

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: W4247505962

FWCI:

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