Formation and Development of Image Analysis and Pattern Recognition in the USSR, the Republic of Belarus, and the Russian Federation
Preface to the Special Issue of the journal PRIA “Leading Scientific Schools in Image Analysis, Pattern Recognition, and Related Problems of Computer Science in the USSR, the Republic of Belarus and the Russian Federation.” The main scientific ...
Image Recognition and Analysis: Results of Belarusian Scientists
The article describes the results of Belarusian scientists in the field of image recognition and analysis obtained over the last 30 years. The main groups of scientists working at the National Academy of Sciences of Belarus and universities are ...
Research in the Area of Pattern Recognition and Image Analysis at the Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences and Its Predecessors
This paper provides a short survey of the main direction of activity of the Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences (FRC CSC RAS) in the areas concerning the topics of the journal Pattern ...
What Is a Scientific School?
This article tells the history of a scientific school, the center of which is currently located at the Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, and its main interests are focused around the ...
Algorithms of the Tiger and CuneiForm Optical Character Recognition Software
In this paper, the optical character recognition (OCR) software is considered. The algorithmic solutions of two of the world’s best OCR systems, Tiger and CuneiForm, are described in detail. Together with the problems of the geometric ...
Application of Cascade Methods as a Universal Object Detection Tool
This paper is devoted to a review of the achievements of the Moscow scientific school of image recognition, formed under the leadership of Professor Vladimir L’vovich Arlazarov, in the field of development and application of the Viola–Jones ...
Document Localization and Classification As Stages of a Document Recognition System
The article is devoted to approaches and methods for analyzing document images, which were developed and used by scientists of the scientific school of V.L. Arlazarov to solve problems of the type definition and localization of documents with a ...
Development of the Neural Network Based Recognition Methods at V.L. Arlazarov’s Scientific School
This work is devoted to methods for improving the quality of artificial neural networks, developed by a group of scientists led by V.L. Arlazarov. It describes various approaches both to training the networks themselves, from applying ...
Advances of the Scientific School of V.L. Arlazarov in Dataset Creation and Training Sample Synthesis for Solving Modern Computer Vision Problems
This paper considers a scientific school of synthesis of samples and creation of datasets, which is a part of the family of scientific schools associated with image processing and analysis, originating from the work of a team led by Prof. V.L. ...
High-Performance Digital Image Processing
The work briefly describes the activities of the Moscow Scientific School of Digital Image Processing, formed on the basis of a team led by Professor V.L. Arlazarov. This school is focused on the development of high-performance image processing ...
On Fast Computing of Neural Networks Using Central Processing Units
This work is devoted to methods for creating fast and accurate neural network algorithms for central processors, which were proposed by scientists of the V.L. Arlazarov’s scientific school. It outlines general principles and approaches to ...
Computer Tomography as an Artificial Intelligence Instrument—the Survey of Approach and Results of V.L. Arlazarov’s Scientific School
- A. S. Ingacheva,
- M. I. Gilmanov,
- A. V. Yamaev,
- A. V. Buzmakov,
- D. D. Kazimirov,
- I. A. Kunina,
- Zh. V. Soldatova,
- M. V. Chukalina,
- V. V. Arlazarov
The article presents the results of research in the field of computational X-ray tomography, obtained within the framework of the scientific school, by Doctor of Engineering, Corresponding Member of the Russian Academy of Sciences V.L. Arlazarov, ...
Descriptive Image Analysis
An overview of the main methods, models, and results of Descriptive Image Analysis is given. Descriptive Image Analysis is a logically organized set of descriptive methods and models designed for image analysis and evaluation. The state of the art ...
D.A. Pospelov and the Development of Artificial Intelligence in the Soviet Union and the Russian Federation
The widest range of scientific interests of Dmitrii Aleksandrovich Pospelov included numerous problems of artificial intelligence of a methodological and applied nature, management of large systems, the search for new unconventional approaches in ...
Developing the Theory of Stochastic Canonic Expansions and Its Applications
The creation of the theory of canonic expansions (CEs) is related with the names Loeve, Kolmogorov, Karhunen, and Pugachev and dates back to the 1940–1950s. The development of the theory of CEs and wavelet CEs is considered in application to the ...
Development of Speech Technologies at Trunin-Donskoy’s School: From Sound Recognition to Natural Speech Recognition
The team of the speech recognition sector of the Computing Center of the Russian Academy of Sciences has participated in the development of speech technologies since their appearance in the Soviet Union in the 1960s. During this time, several ...
Logic Separation: Discrete Modelling of Pattern Recognition
Herein, a historical analytical survey of work of “Discrete Modelling of Pattern Recognition” (DM-Lab) research group in Armenia is presented. The group is since 1973, supervised by worldwide recognized scientist Yurii Ivanovich Zhuravlev and lead ...
Pattern Recognition and Concept Analysis
A number of meaningful problems commonly associated with pattern recognition is considered. A link between these problems and the branch of science called concept analysis is established.
Recognition Methods in Academician Yu.I. Zhuravlev’s Scientific School
This review provides an overview of methods for solving recognition problems developed by the eminent Soviet and Russian academic and scientist, Yu.I. Zhuravlev, together with his students and those that followed him. Zhuravlev was the leader of a ...
Axel Berg and the Digital Revolution in Science, Education, and Society of the Russian Federation
This article elucidates the technocratic utopia envisioned by Academician Axel Berg, detailing his perspective on the future and the strategies he believed would bring it to fruition. Specific initiatives undertaken by Berg are highlighted, ...
The Role of the Scientific Council “Cybernetics” of the USSR Academy of Sciences/the Russian Academy of Sciences in the Development of National Cybernetics and Computer Technology
- G. P. Amirdjanov,
- I. B. Gurevich,
- F. V. Kostyuk,
- N. S. Kulberg,
- T. A. Rudchenko,
- A. L. Semenov,
- A. N. Sotnikov,
- Yu. O. Trusova,
- A. Yu. Uvarov,
- V. A. Vardanyan,
- T. V. Yakovleva,
- V. V. Yashina,
- A. S. Zakharova
The review presents the history of the creation and work of the Scientific Council “Cybernetics” (SCC)—the center for development of cybernetics in the USSR and Russia. The Council’s activity is covered as a structure that coordinates scientific ...
Academician A.L. Semenov’s School: Digital Transformation of General Education
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 ...
Scientific School of Academician V.A. Soifer in the Field of Processing, Analysis, and Recognition of Images and Optical Signals
This article is the first in a series of publications dedicated to the leading scientific school of Academician V.A. Soifer in the field of processing, analysis, and recognition of images and optical signals. The article briefly describes the ...
Methods for Processing and Understanding Image Sequences in Autonomous Navigation Problems
This article presents the results of research into methods and algorithms for processing image sequences aimed at application in autonomous navigation systems. The methods are grouped in the following areas: pre-processing, generation of 2D and 3D ...
Earth Remote Sensing and Geographic Information Systems
The article examines the role and place of Earth remote sensing (ERS) in geographic information systems. The stages of development of remote sensing and geoinformatics are given, as well as a brief overview of Russian means of obtaining, receiving,...
Systems for Recognition and Intelligent Analysis of Biomedical Images
The article is devoted to the achievements of the leading scientific school of Academician V.A. Soifer in the field of biomedical image processing. The main stages of development of research in the field of analysis of medical data are given. ...
Image Analysis and Processing Theory, Methods, and Algorithms. Review of Research at the Iconics Laboratory of the Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute)
A historical and analytical review is given of the development of the Iconics Laboratory at the Institute for Information Transmission Problems of the Russian Academy of Sciences since the establishment of the Institute. The main research areas of ...
Development of Computer Vision, Image Processing, and Analysis at the Digital Optics Laboratory of the Institute for Information Transmission Problems of the Russian Academy of Sciences
Optical and digital images are one of the most important channels for transmitting information. At the Institute for Information Transmission Problems of the Russian Academy of Sciences (IITP RAS), this topic has always, since the founding of the ...
From Tsetlin’s School of Learning Automata towards Artificial Intelligence
Though there is a widely spread opinion that Artificial Intelligence had been formulated as an independent science first of all in the United States, where it was supported with computer science, the present paper demonstrates that in Russia, AI ...