L. I. Lebedev

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An intelligent format of the compressed graphic data representation, based on correlation-extremal recognition methods is described in this work. Corresponding fields of a new data representation structure are formed by compression, recognition, masking, and coding methods for describing data in the format of the linear-contour model obtained by vectoring(More)
This paper addresses the problem of automating the production of digital graphic documents based on pattern recognition and machine learning methods. Methods for solving problems of detecting and isolating objects with similar descriptions, as well as their parallelization, are considered. Interactive procedures of editing and assigning classification codes(More)
The problem of optimization of the structure of an intelligent format designed for representing graphic images is solved. Parallelization of the algorithm for forming an intelligent format is described. The problems of the formation of description features of image objects and obtaining decision rules for a classifier of a set of symbols are solved. The(More)
The problem to optimize decision rules and the number of informative signs for the automated diagnosis of the cerebrovascular pathology is analysed. A double application of the algorithm to subdivide the set into clusters makes it possible to decrease the number of informative counts and to rearrange separate signs thus decreasing the dimensionality of the(More)
The paper puts forward two theorems underlying a method of coordination of the descriptions of contours for the equivalence class with the group of affine transformations. High speed performance of the method is achieved by excluding the calculations of similarity estimates. Fundamentals of the method are explained by examples of coordination of the(More)
The influence of smoking on cerebral hemodynamics and biochemical blood indices has been studied in 50 male patients with chronic insufficiency of brain circulation (CIBC), aged 40-50 years, divided into 2 groups: smoking (n=26) and nonsmoking (n=24). Smoking was shown to play a substantial role in the development of discirculatory encephalopathy with(More)
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