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Об одном подходе к разработке автоматизированной системы дистанционного обучения произношению слов на основе вероятностной нейронной сети с проверкой однородности
С. 144-147.
In book
Н. Новгород : Институт прикладной физики РАН, 2013
Savchenko A., Lecture Notes in Computer Science 2013 Vol. 7963 P. 123-132
The parallel computing algorithms are explored to improve the efficiency of image recognition with large database. The novel parallel version of the directed enumeration method (DEM) is proposed. The experimental study results in face recognition problem with FERET and Essex datasets are presented. We compare the performance of our parallel DEM with the original DEM ...
Added: June 15, 2013
Kuzmina T. A., Golechkova T. Y., Scientific & Academic Publishing 2012 Vol. 2 No. 6 P. 311-317
The article describes the use of a number of alternative blended learning models based on a mixture of traditional face-to-face classes with some elements of e-learning in the course of “English for Academic Purposes” (EAP) and “English for Specific Academic Purposes” (ESAP) taught to junior and senior undergraduate students of computer sciences in the undergraduate ...
Added: October 9, 2012
Savchenko A., Савченко В. В., Радиотехника и электроника 2016 Т. 61 № 4 С. 373-379
Рассмотрен метод фонетического кодирования–декодирования слов в задаче автоматического распознавания речи. На основе свойств информационного рассогласования Кульбака–Лейблера синтезирована оценка распределения рассогласования между минимальными речевыми единицами типа отдельных фонем внутри одного класса. Показано, что наименьшая дисперсия внутрифонемного рассогласования достигается при настройке фонетической базы данных на голос конкретного (одного) диктора. Полученные оценки подтверждены результатам экспериментальных исследований в задаче ...
Added: October 8, 2015
Savchenko A., , in : Proceedings of the IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI 2018). : IEEE, 2018. P. 515-520.
This paper is focused on still-to-video face recog- nition with large number of subjects based on computation of distances between high-dimensional embeddings extracted using deep convolution neural networks. We propose to utilize granular structures and sequentially process granular representations of all frames of the input video. The coarse-grained granules include only low number of the ...
Added: September 17, 2018
Savchenko A., Savchenko V.V., Journal of Communications Technology and Electronics 2016 Vol. 61 No. 4 P. 430-435
A words phonetic decoding method in automatic speech recognition is considered. The properties of Kullback–Leibler divergence are used to synthesize the estimation of the distribution of divergence between minimum speech units (e.g., single phonemes) inside a single class. It is demonstrated that the min imum variance of the intraphonemic divergence is reached when the phonetic ...
Added: April 11, 2016
Dobrov G. A., Качество. Инновации. Образование 2014 № 10 С. 17-21
The subject of research is the process of E-learning. The purpose of this study is to unify E-learning (process optimization E-learning based on the methodology IT service management - service, process and system approaches and thus meeting the needs of basic stakeholders). Result is a graphic description of the business-process of E-learning, which can be ...
Added: December 12, 2016
Savchenko A., Neural Networks 2013 Vol. 46 P. 227-241
The article is devoted to pattern recognition task with the database containing small number of samples per class. By mapping of local continuous feature vectors to a discrete range, this problem is reduced to statistical classification of a set of discrete finite patterns. It is demonstrated that Bayesian decision under the assumption that probability distributions ...
Added: June 16, 2013
Vachkova S., Vachkov I., Klimov I. A. et al., Sustainability 2022 Vol. 14 No. 4 Article 2087
The article contains the study results of the problems with the accessibility and safety of educational resources, applications, and tools of distance educational technologies for schoolchildren during the period of distance learning. In the framework of the study, the focus was also on the satisfaction of the subjects of educational relations with the services of ...
Added: March 19, 2022
Shoroshneva N., Perfilyeva E. I., В кн. : Современные управленческие технологии как драйверы экономического роста: сборникик научных статей по итогам IX ежегодной (IV международной) научно-практической конференции факультета менеджмента. : СПб. : [б.и.], 2015.
Сборник работ составлен на основе докладов авторов международной научно-практической конференции факультета менеджмента НИУ ВШЭ - СПб "Современные управленческие технологии как драйверы экономического роста: сборникик научных статей по итогам IX ежегодной (IV международной) научно-практической конференции факультета менеджмента" ...
Added: January 21, 2015
Masyuk N., Kiryanov A., Lodyshkin A., , in : Proceedings of the 4th International Conference on Economics, Management, Law and Education (EMLE 2018). : Atlantis Press, 2018. Ch. 167. P. 866-870.
Added: November 1, 2021
Loginovа A., Вестник Воронежского государственного университета. Серия: Право 2020 № 4 (43) С. 317-329
the article examines the process of digitalization of higher education, examines the impact of the new coronavirus infection on the digitalization of higher education. An assessment was made of the current regulatory framework in the fi eld of higher education, and barriers to the digitalization of education in Russia were identifi ed. The state of ...
Added: January 27, 2021
Savchenko A., , in : International Joint Conference on Rough Sets, Springer, Cham. : Springer, 2017. P. 264-277.
In this paper it is proposed to improve performance of the automatic speech recognition by using sequential three-way decisions. At first, the largest piecewise quasi-stationary segments are detected in the speech signal. Every segment is classified using the maximum a-posteriori (MAP) method implemented with the Kullback-Leibler minimum information discrimination principle. The three-way decisions are taken ...
Added: October 26, 2018
Tarasov Alexander V., Savchenko A., , in : Proceedings of Analysis of Images, Social Networks and Texts – 7th International Conference, AIST 2018, Moscow, Russia, July 5-7, 2018, Revised Selected Papers. Lecture Notes in Computer Science. Vol. 11179.: Berlin : Springer, 2018. Ch. 19. P. 191-198.
In this paper we address the group-level emotion classification problem in video analytic systems.We propose to apply the MTCNN face detector to obtain facial regions on each video frame. Next, off-the-shelf image features are extracted from each located face using preliminary trained convolutional neural networks. The features of the whole frame are computed as a ...
Added: December 12, 2018
Kazantsev N., Bilinkis (Stavenko) J., Yaroslav Gorchakov, , in : Strategic Innovative Marketing. 4th IC-SIM, Mykonos, Greece 2015. : Switzerland : Springer, 2017. P. 629-633.
This paper summaries the experience of a group of tutors making research-oriented seminar for masters’ students during the period of 2011–2015 years. For standard curriculum enhancement, the following methods were used: the balanced scorecard, subject-oriented approach for learning process modeling, e-learning platforms, virtual seminar concept, and many others. ...
Added: February 8, 2018
Markvirer V., Ulitina S., , in : Development of Science = Развитие науки : материалы конкурса исследовательских работ на английском языке (2020–2021 г.). : ПГКУБ им. А. М. Горького, 2021. P. 66-72.
The article presents analytical review of existed solutions and technologies applied in computer vision control access systems, video monitoring and analysis areas. Such technologies are parts of the smart city concept and commonly used for recognition of faces in modern office buildings and business centers. Face recognition is used to distinct employees and guests, separated ...
Added: September 20, 2021
Savchenko A., Savchenko L. V., Lecture Notes in Artificial Intelligence 2013 Vol. 7911 P. 176-183
The definition of a phoneme as a fuzzy set of minimal speech units from the model database is proposed. On the basis of this definition and the Kullback-Leibler minimum information discrimination principle the novel phoneme recognition algorithm has been developed as an enhancement of the phonetic decoding method. The experimental results in the problems of ...
Added: June 16, 2013
Savchenko A., Компьютерная оптика 2013 Т. 37 № 2 С. 254-262
Предложено использование вероятностной нейронной сети с проверкой однородности в задаче распознавания изображений. Показано, что это решение является оптимальным в байесовском смысле, если задача рассматривается в терминах статистической проверки однородности выборок признаков входного и эталонных изображений. Рассматривается проблема недостаточной вычислительной эффективности оптимального алгоритма при наличии многих альтернативных классов и большой размерности признакового пространства. Исследуется возможность её ...
Added: July 14, 2013
Churaev E., Savchenko A., Software Impacts 2023 Vol. 16 No. 100507
Nowadays, many meetings, lessons, conferences, and presentations are organized online, where it is complicated to communicate with an audience and control their engagement and emotions. In this article, we present a novel C++ application that is led to help estimate facial identities and expressions. It captures a screen with a window of an arbitrary online ...
Added: May 18, 2023
Savchenko A., Информационные технологии 2014 № 1 С. 53-57
Рассмотрена задача автоматического выделения голосовых команд из непрерывного речевого потока и их последующего распознавания. Для обнаружения в слогах границ гласных звуков используется основанный на идее вероятностной нейронной сети с проверкой однородности алгоритм фонемной сегментации речи. Предложено считать речевой сигнал частью голосовой команды, если доля длительности выделенного в нем однородного сегмента по отношению к длительности всего ...
Added: January 20, 2014
М. : МЭСИ, 2014
Сборник докладов и тезисов Форума "Преподаватель в среде E-learning" ...
Added: October 9, 2014
Sokolova A., Savchenko A., Optical Memory and Neural Networks (Information Optics) 2020 Vol. 29 No. 1 P. 19-29
The goal of the study is to increase the computation efficiency of the face recognition that uses feature vectors to describe facial images on photos and videos. These high-dimensional feature vectors are nowadays produced by convolutional neural networks. The methods to aggregate the features generated for each video frame are used to process the video ...
Added: October 25, 2019
Savchenko A., , in : Proceedings of the 24th International Conference on Pattern Recognition (ICPR). : IEEE, 2018. P. 3262-3267.
In this paper we deal with unconstrained face recognition with few training samples. The facial images are described with the off-the shelf high-dimensional features extracted with a deep convolutional neural network (CNN), which was preliminarily trained with an external very-large dataset. We focus on drawbacks of conventional probabilistic neural network (PNN), namely, low recognition performance ...
Added: December 2, 2018
Samonenko I., Интеллектуальные системы в производстве 2003 Т. 2 С. 167-170
Added: September 28, 2018
Savchenko A., Optical Memory and Neural Networks (Information Optics) 2017 Vol. 26 No. 2 P. 129-136
We analyzed the way to increase computational efficiency of video-based image recognition methods with matching of high dimensional feature vectors extracted by deep convolutional neural networks. We proposed an algorithm for approximate nearest neighbor search. At the first step, for a given video frame the algorithm verifies a reference image obtained when recognizing the previous ...
Added: June 30, 2017