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TO THE PROBLEM OF THE HANDWRITING CHARACTERS RECOGNITION
P. 18-24.
Fedin N.
The article discusses development of the segmented characters classifier of the Russian alphabet a nd of the Arabic numerals on the basis of block neural network structures including the plurality of blocks for each individual character recognition and for the synthesis block decision. Keywords: pattern recognition, neural network, training of neural n etworks, base of hand - written characters, recognition of hand - written characters
In book
* 2. , M. : HSE, 2014
Springer, 2019
This 2-volume set constitutes the refereed proceedings of the 9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019, held in Madrid, Spain, in July 2019.
The 99 papers in these volumes were carefully reviewed and selected from 137 submissions. They are organized in topical sections named:
Part I: best ranked papers; machine learning; pattern recognition; ...
Added: September 23, 2019
Springer, 2018
The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.
The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; human analysis; ...
Added: October 30, 2018
Arkhipova M., Экономика региона 2022 Т. 18 № 2 С. 581-594
The article examines new methodologies for modelling crop yield in agricultural regions of Russia based on the use of remote capabilities to get information on the field state. The proposed approach can be applied to develop indicator systems and create methodological platforms and models necessary to obtain more accurate estimates. In comparison with the traditional ...
Added: January 12, 2023
SciTePress, 2015
Added: November 20, 2015
Cham : Springer, 2023
This book constitutes the refereed proceedings of the 12th European Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2023, held as part of Evo* 2023, in April 2023, co-located with the Evo* 2023 events, EvoCOP, EvoApplications, and EuroGP.
The 20 full papers and 7 short papers presented in this book were carefully reviewed ...
Added: April 4, 2023
PMLR, 2022
Added: July 27, 2022
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
Elizaveta Okorokova, Linderman M., Ossadtchi A. et al., Frontiers in Neuroscience 2015 Vol. 9 No. 389 P. 1-15
In recent years, several assistive devices have been proposed to reconstruct arm and hand movements from electromyographic (EMG) activity. Although simple to implement and potentially useful to augment many functions, such myoelectric devices still need improvement before they become practical. Here we considered the problem of reconstruction of handwriting from multichannel EMG activity. Previously, linear ...
Added: December 15, 2015
Magaj G., Soroka A., Studies in Computational Intelligence, 2023
The basis of transfer learning methods is the ability of deep neural networks to use knowledge from one domain to learn in another domain. However, another important task is the analysis and explanation of the internal representations of deep neural networks models in the process of transfer learning. Some deep models are known to be ...
Added: October 25, 2023
Kirsanova E., Юрист 2018 № 11 С. 19-24
The article analyzes the legal status of information. The main interpretations of this term are discussed. The attempt is made to figure out problems of regulation of self-learning programs and to offer a classification of existing approaches to determination of their legal status. ...
Added: September 13, 2022
Berlin : Springer, 2014
Added: March 2, 2015
Malafeev A., Nikolaev K., , in : Analysis of Images, Social Networks and Texts. 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers. Communications in Computer and Information Science. Vol. 1086.: Springer, 2020. P. 154-159.
In this paper, a deep learning method study is conducted to solve a new multiclass text classification problem, identifying user interests by text messages. We used an original dataset of almost 90 thousand forum text messages, labeled for ten interests. We experimented with different modern neural network architectures: recurrent and convolutional, as well as simpler ...
Added: November 7, 2019
Karpov A. V., Качество. Инновации. Образование 2015 № 9 С. 29-33
This paper presents a method for increasing the energy efficiency of wireless camera sensor network with independent power sources - adaptive functioning of a sensor network. We describe the problem of efficient use of energy resources, deal with methods to improve energy efficiency of the camera sensor network, define factors affecting the image recognition on ...
Added: October 31, 2015
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
Giovannelli F., Silingardi D., Borgheresi A. et al., Neuropsychologia 2010 Vol. 48 No. 6 P. 1807-1812
The neural mechanisms underlying perceptual learning are still under investigation. Eureka effect is a form of rapid, long-lasting perceptual learning by which a degraded image, which appears meaningless when first seen, becomes recognizable after a single exposure to its undegraded version. We used online interference by focal 10-Hz repetitive transcranial magnetic stimulation (rTMS) to evaluate ...
Added: September 13, 2015
Dudarev V., Филоретова О. А., Брыкина Г. В., Прикладная информатика 2014 № 2 С. 82-87
Currently an enormous number of databases on inorganic substances and materials properties exist that contains multidirectional information. The article is devoted to questions of accumulated data usage to find out regularities by means of pattern recognition methods that allow predicting formation of not synthesized substances and estimating its properties. ...
Added: January 24, 2016
Izmailov P., Garipov T., Подоприхин Д. А. et al., , in : Proceedings of the international conference on Uncertainty in Artificial Intelligence (UAI 2018). : [б.и.], 2018. P. 876-885.
Deep neural networks are typically trained by optimizing a loss function with an SGD variant, in conjunction with a decaying learning rate, until convergence. We show that simple averaging of multiple points along the trajectory of SGD, with a cyclical or constant learning rate, leads to better generalization than conventional training. We also show that ...
Added: February 27, 2019
Kascheev N. I., Kozyrev O., Leykin M. et al., , in : Proceedings of XV IEEE East-West Design & Test Symposium (EWDTS'2017). : Piscataway : IEEE, 2017. P. 1-4.
The secular outcome of our investigation is development of new monitoring service for glucose control related to diabetes. It is based on the main results of research: 1) New innovative wearable sensor that carry non-invasive measurement of glucose level. Sensor uses several independent technologies, simultaneously: radio-frequency with different levels of signal, ultrasonic, electromagnetic and thermal; ...
Added: February 20, 2018
Arutyunov G.A., Avdoshin S. M., Proceedings of the Institute for System Programming of the RAS 2022 Vol. 34 No. 4 P. 79-88
IT industry has been thriving over the past decades. Numerous new programming languages have emerged, new architectural patterns and software development techniques. Tools involved in the process ought to evolve as well. One of the key principles of new generation of instruments for software development would be the ability of the tools to learn using ...
Added: December 26, 2022
Pushkarev E., Вестник Южно-Уральского государственного университета. Серия: Лингвистика 2015 Т. 12 № 4 С. 56-60
The paper theorizes on the general architectonics of idealized cognitive models (ICMs) and their involvement in metonymy and metaphor. The article posits that an ICM's structure should reflect the architecture of the neural network/s engaged in processing of a given concept. The ICM nodes, or cogs, construct a complex, hierarchically organized neural connections, with the ...
Added: December 8, 2015
Semenenko M. G., Kniazeva I. V., Beckel L. S. et al., , in : IOP Conference Series: Materials Science and Engineering, Volume 537, Issue 3. Vol. 537. Issue 3.: Institute of Physics Publishing (IOP), 2019.
Added: October 20, 2021
Osipov D., Евразийский филологический вестник 2023 No. 2 P. 21-39
The metaverse is a shared, virtual space, accessible to users worldwide, offering a platform for global interaction. The physical barriers of geographical location and time are non-existent, allowing for seamless connectivity and interaction. Language barriers within and between metaverses present substantial impediments to fluid interaction and collaboration. Failure to address this linguistic divergence can stifle ...
Added: March 19, 2024