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Методы структурно-классификационного анализа и распознавания образов в задачах исследования квазипериодических биосигналов
С. 397–400.
Dorofeuk A., Dorofeuk Y. A., Десова А. А., Покровская И. В., Гучук В. В.
Language:
Russian
Keywords: распознавание образов
In book
Ч. 2. , М.: ИПУ РАН, 2012.
Самарский национальный исследовательский университет имени академика С.П. Королева, 2023.
Тематика Конференции ИТНТ-2023 охватывает широкий круг областей применения информационных технологий в науке и высокотехнологичных отраслях промышленности. Одним из приоритетных направлений работы Конференции является образовательный аспект, заключающийся в предоставлении студентам и молодым ученым возможности ознакомиться с новейшими научными достижениями по тематике Конференции, а также с уникальным научным оборудованием и лабораторной базой Самарского университета, используемой для реализации ...
Added: September 10, 2024
Bhimani K. R., Gabino R. V., Prakosa J., IEEE Access 2019 Article 1
This paper describes the implementation of
two digital image processing methods for pattern
recognition, by color boundary method and the Haar
Cascade Classifier to detect objects in a video stream,
both methods implemented on Python 3 and OpenCV.
Patterns detection of images obtained from drones has
advantages over traditional video recording drones. The
drone has a streaming video system, based on the
Raspberry ...
Added: October 14, 2022
Маршалко Г. Б., Круглова С. И., Вопросы кибербезопасности 2019 Т. 29 № 1 С. 45–52
Целью работы является исследование стойкости биометрических систем идентификации по лицам, использующим алгоритм распознавания локальных бинарных шаблонов (LBP, local binary patterns), к атакам на основе подделки предъявляемого системе изображения (т.н. спуфинг атаки). В работе применены статистический метод исследования для анализа возможности подделки изображений и экспертный метод - для оценки эффективности предложенного алгоритма атаки. В результате разработан ...
Added: October 7, 2022
Криницкий М. А., Verezemskaya P., Гращенков К. В. et al., Atmosphere 2018 Vol. 9 No. 426 P. 1–23
Polar mesocyclones (MCs) are small marine atmospheric vortices. The class of intense MCs, called polar lows, are accompanied by extremely strong surface winds and heat fluxes and thus largely influencing deep ocean water formation in the polar regions. Accurate detection of polar mesocyclones in high-resolution satellite data, while challenging, is a time-consuming task, when performed ...
Added: November 26, 2020
Tsvetkovskaya I. I., Tekutieva N. V., Prokofyeva E. N. et al., , in: 2020 Moscow Workshop on Electronic and Networking Technologies (MWENT).: IEEE, 2020. P. 1–5.
The availability of high-resolution satellite images obtained through space radio communications offers the opportunity to use the most advanced technologies and techniques for analyzing remote sensing data. The paper discusses the data obtained with the use of ground-based, airborne or space-based filming equipment, which makes it possible to obtain images in one or several sections ...
Added: June 23, 2020
Ростов н/Д: Ростовский государственный экономический университет "РИНХ", 2018.
The conference proceedings present the results of research of young scientists of the leading scientific organizations of Russia on a wide range of topical problems of Informatics, management and system analysis. Interdisciplinary research and intensive use of data are key features of modern science. The IMSA-2018 conference (Informatics, Management and Systems Analysis) aims to establish ...
Added: September 3, 2019
Garbuk S., Национальная безопасность / nota bene 2016 № 4 С. 451–457
Объектом исследований являются технические средства обеспечения безопасности (ТСОБ). Предметом исследований - вопросы повышения эффективности функционирования ТСОБ на основе реализации в них т.н. "интеллектуальных технологий безопасности", позволяющих обрабатывать информацию, поступающую от техничских средств обеспечения безопасности, с качеством, не уступающим человеку- оператору. Предложена квалификация задач интеллектуальной обработки информации, проведён анализ научно-технических и организационных сложностей, сопровождающих решение этих ...
Added: March 12, 2019
Gostev I. M., Sevastianov L., RUDN Journal of Mathematics, Information Sciences and Physics 2018 Vol. 26 No. 4 P. 331–342
The paper sets out one of the methodologies on image processing and recognition of the form of graphic objects. In it, at the first stage preliminary processing of the image with the purpose of extracting of characteristic attributes of the form of objects is made. Contours of objects are used as such attributes. For transformation ...
Added: December 19, 2018
М.: МАКС Пресс, 2009.
Added: December 7, 2018
Ilyin M., Авдонин В. С., Fomin I., В кн.: МЕТОД: Московский ежегодник трудов из обществоведческих дисциплинВып. 8: Образ и образность. От образования Вселенной до образования ее исследователя.: [б.и.], 2018. С. 5–11.
The introductory article clarifies the title of the current issue of «METHOD» and explicates the purpose of the entire publication. It explains slight but telling differences between the Russian, English and German phrasings that expound the meaning of the title and purpose of the yearbook. Subtle but indicative differences between languages and modes of speech ...
Added: November 12, 2018
Milov V., Savchenko A., , in: 5th Conference on Analysis of Images, Social Networks, and Text (AIST 2016).: Springer, 2017. P. 338–345.
In this paper we examine the maintenance decision support in classification of the dangerous situations discovered by the monitoring system. This task is reduced to the contextual multi-armed bandit problem. We highlight small sample size problem appeared in this task due to the rather rare failures. The novel algorithm based on the nearest neighbor search ...
Added: October 26, 2018
Чумаков И. Г., Komarov M. M., , in: Workshops and work-in-progress contributions at S-BPM One 2018Vol. 2074.: CEUR Workshop Proceedings, 2018. Ch. 5 P. 71–78.
A fridge plays an important role in the kitchen in comparison to other appliances because it helps to store food products at optimal conditions for a long period of time. The ordinary refrigerators perfectly allow preserving meals but they are not effective in case of food management. Providing a remote control for home appliances extends ...
Added: May 3, 2018
Kychkin A.V., Mikriukov G. P., Проблемы региональной энергетики 2016 Vol. 2 No. 31 P. 84–92
Software and hardware system organization is presented as an example for building energy monitoring of multi-sectional lighting and climate control / conditioning needs. System key feature is applied office energy data analysis that allows to provide each type of hardware localized work mode recognition. It based on general energy consumption profile with following energy consumption ...
Added: November 21, 2017
М.: МАКС Пресс, 2017.
The collection represents proceedings of the XVIII international conference “Problems of Theoretical Cybernetics” (Penza, 19–23 June, 2017), that is sponsored by Russian Foundation for Basic Research (project N 17-01-20217-г). The conference subject area includes: control systems synthesis, complexity, reliability, and diagnostics; automata; computer languages and programming; graph theory; combinatorics; coding theory; theory of pattern recognition; ...
Added: September 21, 2017
М.: МАКС Пресс, 2017.
The collection represents proceedings of the XVIII international conference “Problems of Theoretical Cybernetics” (Penza, 19–23 June, 2017), that is sponsored by Russian Foundation for Basic Research (project N 17-01-20217-г). The conference subject area includes: control systems synthesis, complexity, reliability, and diagnostics; automata; computer languages and programming; graph theory; combinatorics; coding theory; theory of pattern recognition; ...
Added: August 25, 2017
Polyakov I. V., Соловьев Ф. Н., Chepovskiy A. et al., М.: Национальный открытый университет «ИНТУИТ», 2017.
В учебном пособии представлены методики и алгоритмы автоматического распознавания языков и классификации текстов на естественных языках. Предназначено для изучающих методы распознавания образов и обработку текстов на естественных языках. ...
Added: May 17, 2017
Gostev I. M., Севастьянов Л. А., Вестник Российского университета дружбы народов. Серия: Математика, информатика, физика 2016 № 4 С. 49–55
The problem of receiving points with high curvature (singular points) of contours for identification of the shape of objects on images is solved. Analysis of existing methods of numerical differentiation in the given aspect is held. The new method of differentiation of the flat discretely defined curves, which are dots (pixels) of circuits, based on ...
Added: February 17, 2017
М.: Торус Пресс, 2016.
This proceedings contains the abstracts of papers accepted to IDP-11 ...
Added: November 12, 2016
Romanov A., Amerikanov A., Lezhnev E. et al., Прикладная радиоэлектроника 2016 Т. 15 № 2 С. 123–126
The paper describes the development of a robotic platform for buildings. The versatility of the platform allows its applying in various fields of human activity, both in the remote control and autonomous regime. The main steps involved in creating a robotic platform are described; its characteristics and working results are given. ...
Added: October 7, 2016
Прохоров Е. И., Свитанько И. В., Захаренко А. Л. et al., Pattern Recognition and Image Analysis 2016 Т. 26 № 1
Статья посвящена прогнозированию свойств химических соединений математическими методами распознавания образов. Исследование проведено на примере активности ингибиторов фермента деления клеток. В качестве методов построения распознающих моделей используется подход на базе смесей алгоритмов. В работе рассмотрена двухфазная схема решения задачи «структура – свойство», также описаны локальный классификатор на базе метода ближайших соседей и метод использующий множества кластеризаций. ...
Added: August 24, 2016
Kulagin V., Kuznetsov Y. M., Chulkova G. et al., , in: 2016 Third International Conference on Digital Information Processing, Data Mining, and Wireless Communications (DIPDMWC).: M.: IEEE, 2016. P. 332–335.
We demonstrate that classical quadratic forms are not able to solve the problem of recognizing highdimensional images. The "deep" GalushkinHinton neural networks can solve the problem of highdimensional image recognition, but their training has exponential computational complexity. It is technically impossible to train and retrain a "deep" neural network rapidly. For mobile "artificial nose" systems ...
Added: August 15, 2016