Persons
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
 
Spitsyn, Vladimir Grigorievich

Statistics Math-Net.Ru
Total publications: 7
Scientific articles: 7

Number of views:
This page:111
Abstract pages:1798
Full texts:1176
References:203
Professor
Doctor of technical sciences
E-mail:

Biography

Graduated from Tomsk State University in 1970, Radio-Physics department. He works as the Professor of Tomsk Polytechnic University. His research interests are currently focused on neural networks, image processing, electromagnetic wave propagation in random discrete media.


https://www.mathnet.ru/eng/person116752
List of publications on Google Scholar
List of publications on ZentralBlatt

Publications in Math-Net.Ru Citations
2021
1. I. A. Kanaeva, Yu. A. Ivanova, V. G. Spitsyn, “Deep convolutional generative adversarial network-based synthesis of datasets for road pavement distress segmentation”, Computer Optics, 45:6 (2021),  907–916  mathnet 5
2020
2. A. D. Bragin, V. G. Spitsyn, “Motor imagery recognition in electroencephalograms using convolutional neural networks”, Computer Optics, 44:3 (2020),  482–487  mathnet 5
2017
3. Yu. A. Bolotova, V. G. Spitsyn, P. M. Osina, “A review of algorithms for text detection in images and videos”, Computer Optics, 41:3 (2017),  441–452  mathnet 8
2016
4. V. G. Spitsyn, Yu. A. Bolotova, N. H. Phan, T. T. Bui, “Using a Haar wavelet transform, principal component analysis and neural networks for OCR in the presence of impulse noise”, Computer Optics, 40:2 (2016),  249–257  mathnet 23
5. I. A. Kalinovskii, V. G. Spitsyn, “Review and testing of frontal face detectors”, Computer Optics, 40:1 (2016),  99–111  mathnet 6
6. I. A. Kalinovskii, V. G. Spitsyn, “Application of polynomial transforms for fast 2D convolutions”, Num. Meth. Prog., 17:3 (2016),  197–203  mathnet
2015
7. Yu. A. Bolotova, V. G. Spitsyn, M. N. Rudometkina, “License plate recognition algorithm on the basis of a connected components method and a hierarchical temporal memory model”, Computer Optics, 39:2 (2015),  275–280  mathnet 4

Organisations
 
  Contact us:
 Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024