On Nonlinear Transformations of Features Based on the Functions of Objects Belonging to ClassesPattern Recognition and Image Analysis - Tập 31 - Trang 197-204 - 2021
N. A. Ignatiev
The problem of choosing an attribute space for solving classification problems
is considered. When choosing a space, nonlinear transformations of the values of
both individual features and their combinations are used. The fuzziness of
dividing objects into classes according to the values of individual features is
investigated using membership functions. The generality of the procedure for
calculat... hiện toàn bộ
The Method of Intellectual Support of Logistics Decision Making Based on Genetic Clustering and Fuzzy ModelingPattern Recognition and Image Analysis - Tập 33 - Trang 242-246 - 2023
V. V. Borisov, A. V. Ryazanov
The paper proposes a method of intellectual support for the adoption of
logistics decisions on the basis of genetic clustering and fuzzy modeling. The
task was set and the solution of the interrelated tasks of dividing the
territory of logistics services into zones, determining the required number of
vehicles in the distribution of logistics orders by zones, and the assignment of
vehicles for the ... hiện toàn bộ
Face recognition using multi-class Logical Analysis of DataPattern Recognition and Image Analysis - Tập 27 - Trang 276-288 - 2017
A. Ragab, Xavier de Carné de Carnavalet, Soumaya Yacout, Mohamed-Salah Ouali
This paper addresses the applicability of multi-class Logical Analysis of Data
(LAD) as a face recognition technique (FRT). This new classification technique
has already been applied in the field of biomedical and mechanical engineering
as a diagnostic technique; however, it has never been used in the face
recognition literature. We explore how Eigenfaces and Fisherfaces merged to
multi-class LAD ... hiện toàn bộ
Evaluation of local dependencies of images wavelet decompositionPattern Recognition and Image Analysis - Tập 18 - Trang 723-726 - 2008
A. L. Zhiznyakov, S. S. Sadykov, V. E. Gai
An approach to identifying local area structure that is used in the spatial
interaction models adapted to the image characteristic properties using mutual
information criterion is reviewed in this article. Experimental results that
demonstrate the value of using the represented method are shown.
Special Convolutional Neural Network for Identification and Positioning of Interstitial Lung Disease Patterns in Computed Tomography ImagesPattern Recognition and Image Analysis - - 2021
Sunita Agarwala, Abhishek Kumar, Ashis Kumar Dhara, Sumitra Basu Thakur, Anup Sadhu, Debashis Nandi
In this paper, automated detection of interstitial lung disease patterns in high
resolution computed tomography images is achieved by developing a faster
region-based convolutional network based detector with GoogLeNet as a backbone.
GoogLeNet is simplified by removing few inception models and used as the
backbone of the detector network. The proposed framework is developed to detect
several inter... hiện toàn bộ
A method for preliminary processing of images of micro- and nanostructuresPattern Recognition and Image Analysis - Tập 23 - Trang 524-527 - 2013
A. A. Orlov, L. V. Antonov
In this work, the necessity of automatic processing of images of micro- and
nanostructures is shown. A method for preliminary processing of such images for
reliable separation of inseparable structures in them is developed. The method
is based on a more accurate calculation of the brightness gradient and
enhancement of image boundaries. The results of processing a photograph of a
nanostructure are... hiện toàn bộ
Hierarchization of Topical Texts Based on the Estimate of Proximity to the Semantic Pattern without ParaphrasingPattern Recognition and Image Analysis - Tập 30 - Trang 440-449 - 2020
D. V. Mikhaylov, G. M. Emelyanov
The paper is devoted to the problem of numerically estimating the mutual
semantic dependence of topical texts with respect to the most rational (i.e.,
standard) variants for describing the knowledge fragments they represent. The
proximity of the text to the standard is evaluated without searching for
paraphrases. This problem is relevant in determining the significance of
information sources regar... hiện toàn bộ
Academician A.L. Semenov’s School: Digital Transformation of General EducationPattern Recognition and Image Analysis - - 2024
D. D. Rubashkin, T. A. Rudchenko, A. L. Semenov, A. Yu. Uvarov
In this article a precedent is described of the role of the Scientific Council
on the Complex Problem of Cybernetics of the USSR Academy of Sciences as a
foundation for forming a consortium of research organizations, Provisional
Scientific and Research Group (PSRG) “School-1” to support the creation of a new
national education system.