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Сборник трудов V Международной конференции и молодёжной школы "Информационные технологии и нанотехнологии" (ИТНТ 2019)
2019.
In press
Дёмочкин К. В., Savchenko A., В кн. : Сборник трудов V Международной конференции и молодёжной школы "Информационные технологии и нанотехнологии" (ИТНТ 2019). : [б.и.], 2019.
In this paper we focus on the problem of user prediction in visual product recommender systems based on the given set of photos of products purchased by the user previously. We studied neural aggregation methods for image features extracted by the deep neural networks. We propose the novel two-stage algorithm. At first, the image features ...
Added: December 4, 2018
Самара : Предприятие "Новая техника", 2018
Конференции ИТНТ-2018 проводится с целью предоставления возможности научных дискуссий и обсуждения результатов фундаментальных и прикладных исследований в области информационных технологий и нанотехнологий, привлечения молодежи в сферу передовых научных исследований, обмена опытом научнообразовательной деятельности при подготовке ИТНТ-специалистов. Тематика Конференции ИТНТ-2018 охватывает широкий круг областей применения информационных технологий в науке и высокотехнологичных отраслях промышленности. Основными направлениями работы ...
Added: October 18, 2018
Юго-западный государственный университет, 2018
Сборник содержит материалы XIV международной конференции «Оптико-электронные приборы и устройства в системах распознавания образов, обработки изображений и символьной информации» (Курск, 25-28 сентября 2018 г.), целью которой является ознакомление с имеющимися достижениями по созданию оптико-электронных приборов, систем и внедрение информационных технологий в научные исследования, учебный процесс и промышленность, а также координация по эффективному их применению в ...
Added: January 9, 2019
Maksimenkova O. V., Neznanov A., Radchenko I., International Journal of Emerging Technologies in Learning 2019 Vol. 14 No. 11 P. 107-122
The paper addresses the questions of data science education of current importance. It aims to introduce and justify the framework that allows flexibly evaluate the processes of a data expedition and a digital media created during it. For these purposes, the authors explore features of digital media artefacts which are specific to data expeditions and ...
Added: June 16, 2019
Savchenko A., Компьютерная оптика 2018 Т. 42 № 1 С. 149-158
In this paper we study the image recognition tasks, in which images are described by high dimensional feature vectors extracted with deep convolutional neural networks and principal component analysis. In particular, we focus on the problem of high computational complexity of statistical approach with non-parametric estimates of probability density implemented by the probabilistic neural network. ...
Added: April 11, 2018
Курск : Юго-Западный университет, 2017
Сборник содержит материалы XIII Международной конференции «Оптико-электронные приборы и устройства в системах распознавания образов, обработки изображений и символьной информации» (Курск, 16-19 мая 2017 г.), целью которой является ознакомление с имеющимися достижениями по созданию оптико-электронных приборов, систем и внедрению информационных технологий в научные исследования, учебный процесс и промышленность, а также координация по эффективному их применению в ...
Added: November 9, 2017
Титов Д. В., Бехтин Ю. С., Егошина И. Л. et al., Телекоммуникации 2018 № 5 С. 35-38
The problem of image integration, which makes possible to increase self-descriptiveness of the processing-and-analysis system of multispectral images has been examined. The purpose of the image integration is to get one high resolution image by processing and integrating the several images with different spectral characteristics. The use of one of the integration method, namely wavelet ...
Added: July 9, 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
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., 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
IEEE, 2018
Added: December 2, 2018
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
CEUR Workshop Proceedings, 2018
This volume contains the papers presented at session"Data Science" within the IV International
Conference on Information Technology and Nanotechnology (ITNT-2018) which was held in Samara,
Russia, April 24−27, 2018 (itnt-conf.org). The Conference is intended to provide a forum for leading
scientists from all over the world to discuss the latest advances in the basic and applied research in ...
Added: December 11, 2018
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
Miasnikof P., Shestopaloff A. Y., Bonner A. J. et al., Journal of Complex Networks 2020 Vol. 8 No. 3 P. 1-33
We introduce graph clustering quality measures based on comparisons of global, intra- and inter-cluster densities, an accompanying statistical significance test and a step-by-step routine for clustering quality assessment. Our work is centred on the idea that well-clustered graphs will display a mean intra-cluster density that is higher than global density and mean inter-cluster density. We ...
Added: August 4, 2020
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
Aachen : CEUR Workshop Proceedings, 2015
This volume contains proceedings of the fourth conference on Analysis of Images, Social Networks and Texts (AIST’2015)1 . The first three conferences in 2012–2014 attracted a significant number of students, researchers, academics and engineers working on interdisciplinary data analysis of images, texts, and social networks. The broad scope of AIST makes it an event where ...
Added: October 9, 2015
Ekaterinburg : CEUR Workshop Proceedings, 2014
AIST'2014 is an international data science conference on Analysis of Images, Social Networks, and Texts. Traditionally, the conference is held annually in Yekaterinburg, Russia. The conference is intended for computer scientists and practitioners whose research interests involve Internet mathematics and other related fields of data science.
LIST OF TOPICS (NON EXHAUSTIVE)
Applications of Data Mining and Machine ...
Added: August 28, 2014
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
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
Musabirov I., Поздняков С. И., Tenisheva K., International Journal of Emerging Technologies in Learning 2019 Vol. 14 No. 5 P. 64-74
This paper studies the patterns of learning behaviour in connection with educational achievement in multi-year undergraduate data science minor specialisation for non-STEM students. In particular, this work focuses on analysing the predictors of academic achievement in blended-learning setting factors related to initial mathematics knowledge, specific traits of educational programs, online and offline learning engagement, and ...
Added: April 17, 2019
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
Franch m., Les Ulis : EDP Sciences, 2016
ITM Web of Conferences is an Open Access publication series dedicated to archiving conference proceedings dealing with all the aspects related to information technology, computer science and mathematics. The aims and scope of the journal cover the whole spectrum of pure and applied mathematics, software engineering, human-computer interaction, and the study of organizations and information technology.
ITM ...
Added: February 15, 2018
Berlin : Springer, 2018
This book constitutes the thoroughly refereed proceedings of the 15th International Conference on Image Analysis and Recognition, ICIAR 2018, held in Póvoa de Varzim, Portugal, in June 2018.
The 91 full papers presented together with 15 short papers were carefully reviewed and selected from 179 submissions. The papers are organized in the following topical sections: Enhancement, Restoration ...
Added: September 3, 2018
Cham : Springer, 2020
ICIAR 2020 was the 17th edition of the series of annual conferences on Image Analysis and Recognition, organized, this year, as a virtual conference due to the pandemic outbreak of Covid-19 affecting all the world, with an intensity never felt by the humanity in the last hundred years. These are difficult and challenging times, nevertheless ...
Added: October 1, 2020