?
Оптико-электронные приборы и устройства в системах распознавания образов, обработки изображений и символьной информации. Распознавание - 2017. Сборник материалов XIII международной научно-технической конференции
Kursk :
-, 2017.
Gostev I. M., В кн. : Оптико-электронные приборы и устройства в системах распознавания образов, обработки изображений и символьной информации. Распознавание - 2017. Сборник материалов XIII международной научно-технической конференции. : Курск : Юго-Западный университет, 2017. Гл. 44. С. 127-129.
Рассмотрены методы оценки качества методов распознава- ния графических образов. ...
Added: November 9, 2017
Gostev I. M., Advanced Materials Research 2014 Vol. 837 P. 381-386
Methods of identification of the form of objects based on the signature analysis and invariant to affine transformations are considered. It is shown as these methods it is possible to apply to surface quality assurance. Questions of sensitivity of these methods are considered. Dependences of these methods on noise are brought. ...
Added: November 28, 2013
Savchenko A., Belova N. S., International Journal of Applied Mathematics and Computer Science 2015 Vol. 25 No. 4 P. 915-925
The paper is focused on the problem of multi-class classification of composite (piecewise-regular) objects (e.g., speech signals, complex images, etc.). We propose a mathematical model of composite object representation as a sequence of independent segments. Each segment is represented as a random sample of independent identically distributed feature vectors. Based on this model and statistical ...
Added: September 10, 2015
Savchenko A., Optimization Letters 2017 Vol. 11 No. 2 P. 329-341
This paper addresses the problem of insufficient performance of statistical classification with the medium-sized database (thousands of classes). Each object is represented as a sequence of independent segments. Each segment is defined as a random sample of independent features with the distribution of multivariate exponential type. To increase the speed of the optimal Kullback-Leibler minimum ...
Added: September 10, 2015
Savchenko A., Информационные системы и технологии 2015 № 4(90) С. 28-38
Рассмотрена проблема недостаточной вычислительной эффективности вероятностной нейронной сети (ВНС) в задачах распознавания образов при наличии в базе данных для каждого класса небольшого числа эталонов. На основе проекционных оценок плотности распределения с ядром Фейера и наивного предположения о независимости признаков классифицируемого объекта синтезирована новая модификация ВНС. Экспериментально показано, что предложенный классификатор оказался несколько точнее и намного ...
Added: October 8, 2015
IEEE, 2018
Added: December 2, 2018
Savchenko A., Milov V., Procedia Computer Science 2017 Vol. 103 P. 316-323
In this paper we focus on two essential problems of maintenance decision support systems, namely, 1) detection of potential dangerous situation, and 2) classification of this situation in order to recommend an appropriate repair action. The former task is usually solved with the known statistical process control techniques. The latter problem can be reduced to ...
Added: February 8, 2017
Kharchevnikova A., Savchenko A., Компьютерная оптика 2020 Т. 44 № 4 С. 618-626
В работе рассматривается задача извлечения предпочтений пользователя по его фотоальбому. Предложен новый подход на основе автоматического порождения текстовых описаний фотографий и последующей классификации таких описаний. Проведен анализ известных методов создания аннотаций по изображению на основе свёрточных и рекуррентных (Long short-term memory) нейронных сетей. С использованием набора данных Google’s Conceptual Captions обучены новые модели, в которых ...
Added: September 16, 2020
Savchenko A., Машинное обучение и анализ данных 2015 Т. 1 № 11 С. 1500-1516
Исследуется проблема малых выборок в задаче статистического распознавания образов на основе методов ближайших соседей, точность которых во многом определяется выбранной мерой близости, при этом их реализация в режиме реального времени может оказаться невозможной уже при наличии тысяч классов. Для преодоления указанных проблем предложен новый подход к разработке классификаторов с посегментным анализом однородности и быстрой последовательной ...
Added: September 10, 2015
Colorado Springs : IEEE, 2011
Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on ...
Added: October 18, 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
Savchenko A., / Cornell University. Series Computer Science "arxiv.org". 2022.
In this paper, we present the results of the HSE-NN team in the 4th competition on Affective Behavior Analysis in-the-wild (ABAW). The novel multi-task EfficientNet model is trained for simultaneous recognition of facial expressions and prediction of valence and arousal on static photos. The resulting MT-EmotiEffNet extracts visual features that are fed into simple feed-forward ...
Added: October 21, 2022
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
Providence : IEEE, 2012
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on ...
Added: October 1, 2014
Kiselyova N. N., Stolyarenko A. V., Ryazanov V. V. et al., Russian Journal of Inorganic Chemistry 2014 Vol. 59 No. 12 P. 1462-1471
Yetnonsynthesized compounds of the compositions A2BHal5, A3BHal6, and ABHal4 in systems
of mono and trivalent metal halides were predicted, and so was the type of their crystal structure under nor
mal conditions. The calculations were performed by precedentbased pattern recognition methods using a
special system for computer design of inorganic compounds. The new compounds were predicted using only
the ...
Added: February 6, 2015
Savchenko A., Milov V., Optical Memory and Neural Networks (Information Optics) 2016 Vol. 25 No. 2 P. 79-87
Decision support in equipment condition monitoring systems with image processing is analyzed. Long-run accumulation of information about earlier made decisions is used to realize the adaptiveness of the proposed approach. It is shown that unlike conventional classification problems, the recognition of abnormalities uses training samples supplemented with reward estimates of earlier decisions and can be ...
Added: July 10, 2016
SciTePress, 2015
Added: November 20, 2015
Gostev I. M., Сибирцева Е. А., RUDN Journal of Mathematics, Information Sciences and Physics 2014 No. 2 P. 248-252
The methodology of human-computer interaction based on the determination of the eyeball position and its movement direction. For interference and noise elimination from extraneous lighting devices infra-red illumination which allows receiving only one highlight on a cornea from an infra-red light-emitting diode is used. Thus the entrance video-stream in an infra-red range is processed in ...
Added: August 19, 2014
Savchenko A., Optical Memory and Neural Networks (Information Optics) 2013 Vol. 22 No. 3 P. 184-192
The research subject is the computational complexity of the probabilistic neural network (PNN) in the pattern recognition problem for large model databases. We examined the following methods of increasing the efficiency of a neuralnetwork classifier: a parallel multithread realization, reducing the PNN to a criterion with testing of homogeneity of feature histograms of input and ...
Added: September 10, 2013
[б.и.], 2019
Конференции ИТНТ-2019 проводится с целью предоставления возможности научных дискуссий и обсуждения результатов фундаментальных и прикладных исследований в области информационных технологий и нанотехнологий, привлечение молодежи в сферу передовых научных исследований, обмен опытом научно-образовательной деятельности при подготовке ИТНТ-специалистов.. Тематика Конференции ИТНТ-2019 охватывает широкий круг областей применения информационных технологий в науке и высокотехнологичных отраслях промышленности. Основными направлениями работы Конференции ИТНТ-2018 ...
Added: December 4, 2018
San Francisco : IEEE, 2010
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on ...
Added: October 18, 2017
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
Gostev I. M., Sibirtseva Elene Alekseevna, Selected engineering problems 2013 P. 85-91
The methodology of control metal- or woodworking equipment based on the determination of the eyeball position and its movement direction. The developed hardware and software system for gaze direction tracking can be used as an alternative method of input, which is closer to the natural way of interaction with the environment, as well as the ...
Added: October 1, 2014
Ermilov A., Известия Юго-Западного государственного университета 2011 № 2 С. 15-20
In this article we consider application of Support Vector Machines with different types of kernels to the task of speaker identification. We use Fisher features for several types of channels (telephone, GSM, microphone). We analyze dependence of accuracy from length of input sentence. ...
Added: January 18, 2014
Kiselyova N. N., Dudarev V.A., Korzhuev M. A., Inorganic Materials: Applied Research 2016 Vol. 7 No. 1 P. 34-39
A database (DB) on the bandgap of inorganic substances available via the Internet (http://bg.imetdb.ru) was developed for the information service of specialists in the sphere of inorganic chemistry and materials science. The DB is integrated with other information systems on the properties of inorganic substances and materials, which provides the search of a wide range ...
Added: February 23, 2016