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.