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Michail I. Schlesinger
doctor of science, professor
Position: Chief researcher
E-mail: schles@irtc.org.ua
Short Bio: Position: Chief researcher
Extra employment: National Technical University of Ukraine "Kiev Polytechnical Institute", Kiev National University of Ukraine
Scientific degrees:
- Master of Automation and Remote Control, Mgstr. Thesis „Unsupervised Tuning of Control Systems“.
- PhD of Theoretical Cybernetics, PhD. Thesis „Theory and Algorithms of Unsupervised Pattern Recognition“.
- Dr. Habil of Applied Mathematics. Dr. Habil Thesis „Theory of 2D-Grammars Applied to Picture Recognition“
- 1993 Academic Degree Professor of Applied Mathematics
State Awards of Ukraine
- 1988 - State Prize of Ukraine for outstanding achievements in science and technology.
- 1997 - State Prize of Ukraine for outstanding achievements in science and technology.
Field of Scientific Activity
Theory of 2D-grammars and their fuzzy and stochastic generalizations, theory of statistical and structural pattern recognition, optimal labelling problems.
Field of Applications
Processing and syntactical analysis of graphical images (music scores, maps, drawings), texture analysis, image segmentation, binocular stereovision.
Educational Activity
A series of lectures „Statistical and Structural Pattern Recognition“
Constantly
- National University of Technology of Ukraine
- Kiev National University of Ukraine
As an invited professor
- Czech Technical University, Prague, Czech Republic
- Dresden Technical University, Germany
- Masarik University, Brno, Czech Republic
Membership in International Programm Committees
- 9th International Conference, CAIP’01 “Computer Analysis of Images and Patterns”, Warsaw, Poland, 2001;
- 8th International Conference, CAIP’99 “Computer Analysis of Images and Patterns”, Ljubljana, Slovenia, September 1999;
- Joint IAPR International Workshops on “Syntactical and Structural Pattern Recognition” (SSPR’2000) and “Statistical Pattern Recognition” (SPR’2000), Alicante, Spain, 30 August - 1 September, 2000;
- 1st International Workshop on “Statistical Techniques in Pattern Recognition” STIPR’97, Prague, Chech Republic; June 9-11, 1997;
- International Workshop on Structural and Syntactic Pattern Recognition (SSPR ‘96), Leipzig, Germany;
- others.
Publications:
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Гриценко В.И., Шлезингер М.И.
Взаимосвязь проблем распознавания образов, машинного мышления и обучения.
Международный научно-технический журнал «Проблемы управления и информатики» .- 2020.- № 3 .- с. 108-136 . [Details]
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М.И.Шлезингер, Б.Флах, Е.В.Водолазский
Поиск заданного количества решений системы размытых ограничений. //Кибернетика и системный анализ, К.: Наук.думка.-2018.-№ 1.- С. 67-83 [Details]
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Schlesinger M., Vodolazskiy E.
Minimax deviation strategies for machine learning and recognition with short learning samples. // An Article.- 2017 (arXiv preprint arXiv:1707.04849) [Details]
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Шлезингер М.И.
Распознавание образов как реализация определенного подкласса процессов мышления. // Управляющие системы и машины.- К.: Наук.думка.- 2017.- №2.- С.20-37. [Details]
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M.I.Schlesinger, E.V.Vodolazskiy, V.M.Yakovenko
Frechet Similarity of Closed Plygonal Curves. // International Journal of Computational Geometry&Applications, Vol.26, Nu.1, 2016, pp. 53-66. [Details]
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M Schlesinger, E Vodolazskiy
How to Formulate and Solve Statistical Recognition and Learning Problems. // An Article.- 2015 (arXiv preprint arXiv:1509.08830) [Details]
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Schlesinger M., Vodolazskiy E.
Minimax Deviation Strategies for Machine Learning and Recognition with Short Learning Samples. Abst Proceedings of Yandex School of Data Analysis Conference «Machine Learning: Prospects and Applications» , 5–8 October 2015, Berlin, Germany [Details]
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Michail Schlesinger, Boris Flach, Evgeniy Vodolazskiy
M-best solutions for a class of fuzzy constraint satisfaction problems // An Article.- 2014 (arXiv:1407.6166 [cs.AI]) [Details]
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Шлезингер М.И., Флах Б., Водолазский Е.В.
Минимаксные задачи дискретной оптимизации, инвариантные относительно мажоритарных операторов. //Журнал Вычислительной Математики и Математической Физики.- 2014.- № 8 .- Vol.54.- с. 134 - 144. [Details]
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Шлезингер М.И., Водолазский Е.В., Яковенко В.М.
Распознавание сходства многоугольников в усиленной хаусдорфовой метрике. Кибернетика и Системный Анализ.- 2014.- № 3 .- с. 174 - 187. [Details]
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Mikhail Schlesinger, E. Vodolazskiy
Nearly Optimal Statistical Recognition and Learning // Proceedings 4th International Conference on Inductive Modelling, 16-20 September, 2013 Kyiv, Ukraine // 2013.- IRTC ITS NASU.- с. 51-58 [Details]
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Шлезингер М.И.
Ключевые моменты становления киевской школы распознавания. //В.М.Глушков. Минуле, що лине у майбутнє. Прошлое, устремленное в будующее/ Упорядник Т.П.Мар’янович.- Київ.- Академперідіка, 2013, с.188-193. [Details]
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Гриценко В.И., Шлезингер М.И.
Формальные модели, задачи и алгоритмы образного мышления. Автоматика-2011/AUTOMATICS-2011, Матеріали 18-ї міжнородної конференції з автоматичного управління (Львів 28-30 вересня, 2011), с. 110-113 . [Details]
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Schlesinger M., Vodolazskii Ye., Lopatka N.
Stop condition for subgradient minimization in dual relaxed (max,+) problem // Proceedings 8th International Conference on EMMCVPR (Energy Minimization Methods in Computer Vision and Pattern Recognition), 25-27 July, 2011 Saint Petersburg, Russia // 2011.- Springer.- с. 118-131 [Details]
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Шлезінгер М., Антонюк К., Водолазский Е.
Оптимизационные задачи разметки и их эквивалентные преобразования Управляющие системы и машины.- 2011, № 2.- с. 55-70 [Details]
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М.И.Шлезингер, К.В.Антонюк
Diffusion algorithms and structural recognition optimization problems Кибернетика и системный анализ, К., Наук.думка, 2011.- 48, № 2.- с. 3-12 [Details]
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М.И.Шлезингер, A.В.Бондаренко
How the problems of pattern recognition learning should be formulated Appears in Control Systems and Computers [Details]
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Schlesinger M.I., Giginyak V.V.
Solution to Structural Recognition (MAX,+)-problems by their Equivalent Transformations. Part 2 Control Systems and Computers, 2007(2), Kiev, pp.3-18 [Details]
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Schlesinger M.I., Giginyak V.V.
Solution to Structural Recognition (MAX,+)-problems by their Equivalent Transformations. Part 1 Control Systems and Computers, 2007(1), Kiev, pp.3-15 [Details]
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M. I. Schlesinger, B. G. Flach
Bimodular consistent labeling problems and ther solutions Unpublished [Details]
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М. Шлезингер, В.Главач
Десять лекций по статистическому и структурному распознаванию Киев: Наук. думка, 2004. - 545 с. [Details]
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Schlesinger M.I., Savchynskyy B.D., Anokhina M.O.
Parsing and recognition of printed notes Control Systems and Computers, 2003(4), Kiev, pp.30-38 [Details]
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Schlesinger M.I., Savchynskyy B.D., Anokhina M.O.
Computer technology for printed notes recognition Proc. of Inter. Conf. "Electronic Images and Visual Arts" EVA 2002, Kiev, 2002, pp.82-86 [Details]
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M. Schlesinger, V. Hlavac
Ten Lectures on Statistical and Structural Pattern Recognition Computational Imaging and Vision Kluwer Academic Publishers - Dordrecht / Boston / London., 2002, 520 p. [Details]
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M. Schlesinger, B.Flach
Some solvable subclasses of structural recognition problems Czech Pattern Recognition Workshop 2000, Tomas Svoboda (ed.), Czech Pattern Recognition Society, Praha, February 2000, pp. 55-61. [Details]
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M. Schlesinger, B.Flach
A Class of Solvable Consistent Labeling Problems Joint IAPR International Workshops on Syntactical and Structural Pattern Recognition (SSPR’2000) and Statistical Pattern Recognition (SPR’2000), Alicante, Spain, 30 August - 1 September, 2000. [Details]
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M.I. Schlesinger
Maximum likelihood estimation of the certain model of conditional independence Journal of Automation and Infomation Sciences, Vol. 31, N 3, 1999, pp. 60-74 [Details]
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М. Шлезингер
Идентификация статистических параметров в одной модели условной независимости Проблемы управления и информатики, Киев, 1998 г, № 3.- C.71-88 [Details]
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M. Schlesinger, V.Kiiko
Fast dilation and skeletonization of compressed binary pictures Computational Imaging and Vision/Mathematical Morphology and its Applications to Image and Signal Processing, Kluwer Academic Publishers /Dordrecht/Boston /London 1998. pp. 347-354 [Details]
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Matsello V. V., I.Aksak, Ch.Faist, V.Kijko, R.Knoffel, V.Jganovsky, M.Schlesinger, D.Schlesinger, G.Stanke
Detection of the Objects With Given Shape on the Grey-Valued Pictures Lecture Notes in Comp. Science 1296. Gerald Sommer, Kostas Danii-lidis, Josef Pauli (Eds.). Computer Analysis of Images and Patterns. 7 th Intern. Conf., CAIP’97, Kiel, Germany, September 1997. Proceedings. Pp.551-558 [Details]
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Matsello V. V., I.Aksak, Ch.Faist, V.Kijko, R.Knoffel, V.Jganovsky, M.Schlesinger, D.Schlesinger, G.Stanke
Extraction of Filled-in Data from Colour Forms Lecture Notes in Comp. Science 1296. Gerald Sommer, Kostas Danii-lidis, Josef Pauli (Eds.). Computer Analysis of Images and Patterns. 7 th Intern. Conf., CAIP’97, Kiel, Germany, September 1997. Proceedings. Pp.98-105 [Details]
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M. Schlesinger
Algebraic method for solution of some best matching problems Advances in Computing Science/ SpringerWien NewYork, 1997, pp. 201-210. [Details]
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V. Kiiko, M. Schlesinger
Noise Removing in the Half-Tone Picture Праці. Третя Всеукраїнська міжн. конф. / Оброблення сигналів і зображень та розпізнавання образів/ 26-30 лист. 1996: Україна, Київ, С. 211-212 [Details]
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Matsello V. V., Schlesinger M. I.
Peculiarities of Structural Analysis of Image Contours Under Various Orders of Scanning Lecture Notes in Comp. Science 1121. P.Perner, P.Wang, A.Rosenfeld (Eds.).Advances in Structural and Syntactic Pattern Recognition. 6th Int. Workshop,SSPR’96, Leipzig, Germany August 1996. Proceedings. Pp.260-268 [Details]
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Aksak I., Kijko V., Matsello V., Schlesinger M.
One Generalization of Context-Free Grammars and Its Application to Structural Analysis of Drawings Proceedings of the third all-ukrainian international conference UkrOBRAZ'96, Kyyv, pp.137-140 [Details]
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Matsello V. V., M . Plessow, F . Thiede, S . Aleksandrova, W.Kijko, M.Schlesinger
Von der Skizze zum Layout – automatisierte Analyse und Synthese schematischer Darstellungen Berichte des 2.Workshop “Computergrafik und automatisierte Layoutsynthese”, Berlin, 27-29 April 1992 auf der Wartburg, S.8-31 [Details]
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Шлезингер М.И.
Быстрая реализация одного класса линейных сверток. // Сб. научных трудов "Теоретические и прикладные вопросы распознавания изображений" Ин-та кибернетики им. В.М. Глушкова АН УССР.- Киев: ИК АН Украины, 1991.- C.61-69 [Details]
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С.Л.Александрова, В.М.Кийко, В.В.Мацелло, М.Шлезингер
Программный комплекс для обработки изображений чертежей, реализованный на персональном компьютере В кн.: Методы и средства информатики речи: Киев: ИК АН Украины, 1991, с. 29-34 [Details]
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V. Kiiko, M. Schlesinger
Width-independent Fast Skeletonization Algorithm for Binary Pictures International Journal of Imaging Systems and Technology.USA. Vol. 3, N 3, 1991, pp.222-226 [Details]
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М.И.Шлезингер
Математические средства обработки изображений. Монография. Киев: Наук. думка, 1989.- 197 с. [Details]
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S. K. Alekseev and M. I. Shlezinger
High-speed algorithm for preliminary image processing Kibernetika, No. 1, pp. 97-101,115, January-February, 1986 [Details]
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Matsello V. V., Provalov Y. L., Sharypanov V.M., Schlesinger M. I.
System for input and processing of graphical information Control Systems and Computers №6, 1986, Kiev, pp.56-60 [Details]
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Matsello V. V., Schlesinger M. I.
Syntactical analysis of images in the process of their line-to-line scanning Proceedings of the Academy of Sciences of the USSR, Series "Technical Cybernetics", №3, 1982, pp.173-179 [Details]
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N. A. Esin and M. I. Shlezinger
Synthesis of a probabilistic finite-state grammar describing a given set of sequences Kibernetika, No. 4, pp. 116-120, July-August, 1977 [Details]
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M. I. Shlezinger
Syntactic analysis of two-dimensional visual signals in the presence of noise Kibernetika, No. 4, pp. 113-130, July-August, 1976 [Details]
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V.K. Koval and M.I. Schlesinger.
Two-dimensional programming in image analysis problems USSR Academy of Science, Automatics and Telemechanics, 8:149--168, 1976 [Details]
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M. I. Shlezinger
The interaction of learning and self-organization in pattern recognition. Kibernetika, Vol. 4, No. 2, pp. 81-88, 1968 [Details]
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