Resume

Engineering Mechanical

Location:

Montreal, QC, H4G 1W8, Canada

Posted:

January 26, 2019

Contact this candidate

Resume:

Vitaliy TAYANOV

****, **********,

Montreal (Verdun),

QC, H4G 1W8

ac8ayy@r.postjobfree.com

RESEARCHER IN IMAGE/VIDEO PROCESSING AND

MACHINE LEARNING

Profile

More than 16 years experience in applied mathematics

Solid knowledge of statistic algorithms for classifications and analysis

Solid experience in computer vision, machine learning, deep learning and data mining

Capability to perform the work with all of the types of images (optical, radio and video)

Ability to use special libraries for image and video processing, analysis and recognition

Experience in processing of genetic sequences and their classifications

Excellent communication skills in French

Aptitude in animation educational sessions

Fluent in Russian, Ukrainian, English and Polish

Knowledge of platforms: Linux, MS Windows

Knowledge of programming languages, C/C++, Borland C++ Builder, Microsoft Visual Studio 2008-2010, gcc(g Matlab, Python and Perl (Linux).

Experience with NumPy, SciPy, Theano, Tensorflow, Keras and Torch

Education

Ph.D. candidate in computer science (Machine Learning, Deep Learning,

Pattern Recognition) 05/2016-current

Centre for Pattern Analysis and Machine Intelligence (CENPARMI)

Concordia University, Montreal, Canada

Ph.D. in applied mathematics 11/2002-01/2007

“Recognition system mathematical modelling based on

reliability indexes for small data sets”

Lviv Polytechnic National University, Ukraine

Master in electronics and telecommunications 09/2000-12/2001

“Recognition module development for human

identification systems that use face images”

Lviv Polytechnic National University, Ukraine

Bachelor in radio-electronics 09/1996-06/2000

Lviv Polytechnic National University, Ukraine

Perfections

Course in biometric systems (certificate obtained) 01/2015-04/2015

“Visualisation enhancement using super-resolution

techniques for rapid adjudication” (course project)

École de technologie supérieure, Montréal, QC, Canada

Grants and awards

Concordia University Graduate Doctoral Fellowship – ENCS 05/2016-05/2019

The scholarship of the National Academy of Science 10/ 2008-10/2010

The nominative scholarship of the City Regional

State Administration and Regional Council 10/2006-10/2007

The scholarship of the National Academy of Science 10/ 2003-10/2005

The nominative scholarship of the City Regional

State Administration and Regional Council 10/200*-******

Other achievements

Top research fellow among all research personal before 35 years old

of the Physico-Mechanical Institute named after Karpenko of the

National Academy of Science of Ukraine 02/2010

The best student at Electrical engineering department of

Lviv Polytechnic National University 09/1998-12/2001

The third place in all-Ukrainian Olympiad in Electrical engineering 02/1996

Awards for the third place in city Olympiad in physics 05/1995

Awards for the second place in city Olympiad in physics 05/1994

Research experience

Principal Research Scientist and Director of Data Science 06/2017-12/2017

3Mind Technologies

Collect and process data for AI applications (smart buildings, smart houses)

Program modules (Arduino Uno) containing different sensors (temperature, humidity, flame, motion, gas, light, etc.) and program data collecting pipeline

create and optimise algorithmically different architectures of Neural Networks (MLP, CNN, Deep Neural Decision Forests, Autoencoders, Variational Autoencoders, etc.)

Accelerate computations with CUDA on GPU using tensorflow, theano, torch, etc.

Write the reports about obtained results

Publish research papers

Research Professional 07/2014-04/2015

École de technologie supérieure, Montréal, QC, Canada (Laboratory “ LIVIA”)

“Visualisation of Faces in Video for Rapid Adjudication”

Detect regions of interest (faces) on video streams

Rank and sort the best detected images using different image quality measures

Use single-image or multiple-image super-resolution algorithms depending on number of images and the scaling factor

Develop the visualisation interface to let the adjudicator to make a decision about the person based on still image and super-resolved one obtained using the best captures from video

Articles publication in peer-reviewed journals by obtained results

Research Professional 11/2013-04/2014

École de technologie supérieure, Montréal, QC, Canada (Laboratory “LATIS”)

“Video compression algorithms for telemedicine”

Detect regions of interest in medical images/videos

Decomposition of detected regions into high and low-frequency bounds

Filtration in frequency domain for chrominance and luminance components

(YUV/YCbCr colour formats)

Search for the parameters of H.264/H.265 codec to optimise bit rate and computations complexity for every of detected region (regions of medical interest (ROMI) and regions of week medical interest (ROWMI) or regions of no medical interest (RONMI)).

Articles publication in peer-reviewed journals by obtained results

Scientific collaborator 01/2013-08/2013

Lviv Polytechnic National University,

Develop algorithms to increase resolution of space images

Detect object contours on images and find key points

Combine the algorithms to find the best assemble of image key points

Determine the speed of objects on the base of traced key points

Researcher 07/2011-12/2012

Polish-Japanese Institute of Information Technology, Bytom, Poland,

Creation of algorithms for video tracking

Perform the different tests

Develop the software

Prepare scientific articles

Post-doc 02/2010-05/2010

Genetic Information Research Institute, Mountain View, CA, USA

DNA sequence analysis and classification (clade determination), using philogenetic trees

Scientific collaborator 02/2002-02/2010

Department of Methods and Systems of Pattern Processing, Analysis and Identification, Karpenko Physico-Mechanical Institute of the National Academy of Science of Ukraine, Lviv, Ukraine,

Develop the algorithms for recognition quality estimation for every separate object and for the group of objects when training set is small

Estimate the stability of classifiers to different types of noise, feature spaces and size of the training set

Research and develop methods of classifier generalization bounds tightness on the basis of combinatorial probability

Build the optimal classifier composition and training set, research in the new type of classifiers (consensus classifiers)

Analyse and simplify the data complexity and classification algorithms depending of the data structure

Detect and verify the ambiguous and misclassified objects

Post-doc 10/2009-12/2009

Department of Image and Signal Processing of the Institute of Telecommunications, Telecom Paristech, Paris, France,

Make wide and strong literature overview about indicators of the quality and stability of the classification

Consider and analyse different indicators for the estimation of data structure, quality of classification process and its stability as well as the quality of the classifier learning process

Discuss the following problems with Supervisor

Make the presentation in the broadened seminar near the end of the project

To write the report about carried out research

Laboratory assistant 02/1997-06/2000

Research sector of the

Lviv Polytechnic National University, Lviv, Ukraine

Teaching experience

Assistant professor 09/2010-08/2011

Vyacheslav Chornovil State Institute of Modern Technologies and Management of Lviv,

Teach several university subjects ("Discrete Mathematics", "Basics of Programming and Algorithmic Languages", “Computer Electronics”) to undergraduate and master students

Propose different exams

Advise students on further study and career

Develop educational program for students

Supervise research programs of students

Publish results of research in corresponding scientific journals

Scientific interests

statistical/probabilistic pattern recognition and analysis, image/signal processing, motion and tracking, data mining, artificial intelligence, detection theory, learning/statistical machine learning theory and their application, feature extraction and selection, parallel computing and media, methods of calculation, cellular automata, object oriented programming, algebra, geometry, radar systems, electronics and telecommunications

Language knowledge

Speaking: French, English, Russian, Ukrainian, Polish

Writing: French, English, Russian, Ukrainian, Polish

Volontiry

Volunteer of the construction side 07/2008-08/2008

Historical monuments, France 07/2009-08/2009

Volunteer of the construction side 07/2007-08/2007

Camps for children, Hungary, Czech Republic

Interests and leisure

Readings: books in philosophy, scientific articles

Cultural voyages abroad, mainly to Europe

Sports: bicycles, swimming, football

Publications

PEER-REVIEWED PUBLICATIONS

1.B.P. Rusyn, O.V. Kapshiy, V.A. Tayanov The criterion of the recognition quality estimation by decision making support system // Electronics and Connections. – 2002. – 15. – Pp. 89-93 (in Ukrainian).

2.B.P. Rusyn, B.O. Kapustiy, V.A. Tayanov About peculiarities of the stochastic characteristics of the recognition reliability coefficient for the objects from R3 class // Herald of the Lviv Polytechnic National University “Radioelectronics and Telecommunications”. – 2003. – 477. – Pp. 69-67 (in Ukrainian).

3.B.P. Rusyn, B.O. Kapustiy, V.A. Tayanov Mean square distance distribution between objects in R2 space // Information Extraction and Processing. – 2003. – Issue 19(95). – Pp. 110-114 (in Ukrainian).

4.B.P. Rusyn, B.O. Kapustiy, V.A. Tayanov Determination of the posteriori reliability of the decision making support system by the measure based verification method of the local transfers of the recognition reliability coefficient // Herald of the Lviv Polytechnic National University “Radioelectronics and Telecommunications”. – 2004. – 512. – Pp. 46-52 (in Ukrainian).

5.B.P. Rusyn, B.O. Kapustiy, V.A. Tayanov The criteria of the optimization of the set of spectral components of the Karhunen_Loeve transform for the calculation of the differential probability of correct recognition // Radioelectronics and Informatics. – 2004. – 3. – Pp. 118-121 (in Ukrainian).

6.B.P. Rusyn, B.O. Kapustiy, V.A. Tayanov Peculiarities of the function model application of the likelihood relations for the recognition problems // Modeling and Information Technologies. – 2004. – Issue 26. – Pp. 49-55 (in Ukrainian).

7.Kapustiy B.O., Rusyn B.P., Tayanov V.A. The new approach to the correct recognition probability definition of the set objects // Control Systems and Machines – 2005. – 2. – Pp. 8-13 (in Russian).

8.Kapustiy B.O., Rusyn B.P., Tayanov V.A. The new approaches to the parametrical synthesis of the recognition algorithms // Radioelectronics and Informatics. – 2005. – 3. – Pp. 128-134 (in Ukrainian).

9.B.O. Kapustiy, B.P. Rusyn, V.A. Tayanov Peculiarities of Application of Statistical Detection Criteria for Problems of Pattern Recognition // Journal of Automation and Information Sciences. - 2005. – vol. 37, 2. - Pp. 30-36. (Published in the USA).

10.B.O. Kapustiy, B.P. Rusyn, V.A. Tayanov Comparative analysis of different estimates of Recognition Probability // Journal of Automation and Information Sciences. - 2006. – Issue 8. - P. 8-16 (Published in the USA).

11.B.O. Kapustiy, B.P. Rusyn, V.A. Tayanov Сlassifier optimization in small sample size condition // Automatic control and computer sciences. – 2006. – vol. 40. – 5. – Pp.17-22 (Published in the USA).

12.Kapustiy B.O., Rusyn B.P., Tayanov V.A. Realization of the statistical detection criteria for recognition problems // Radioelectronics and Informatics – 2006. – 1. – Pp. 91-96 (in Ukrainian).

13.Tayanov V.A., Korniy V.V., Lutsyk O.A., Lysak Yu.V. The grain class of steel determination based on metallographic section analysis// Information Extraction and Processing. – 2006. – Issue 24(100). – Pp. 99-103 (in Ukrainian).

14.B.O. Kapustiy, B.P. Rusyn, V.A. Tayanov Mathematical Model of Recognition Systems with Small Databases // Journal of Automation and Information Sciences. - 2007. – vol. 39. - P. 70-80. (Published in the USA).

15.Kapustiy B.O., Rusyn B.P., Tayanov V.A. The combinatorial approach of the influence definition of information coverage reduction on generalized ability of 1NN classifiers // Artificial Intelligence. – 1. – 2008. – Pp. 49-54 (in Ukrainian).

16.Rusyn B.P., Tayanov V.A., Lutsyk O.A. Feature extraction based on the analysis of surface shape // Automatic Control Management Information System and Devices. – 142. – 2008. – Pp. 25-29 (in Ukrainian).

17.Tayanov S.A., Tayanov V.A. Methods of image clustering for image compression on the basis of component analysis // Management Information System and Devices. – 145. – 2008. – Pp. 63-68 (in Ukrainian).

18.Tayanov S.A., Tayanov V.A. Research of the effectiveness of image compression on the basis of adaptive cluster component analysis // Scientific Herald. – 2(14). – 2008. – Pp. 31-36 (in Ukrainian).

19.B.O. Kapustiy, B.P. Rusyn, V.A. Tayanov Features in the design of optimal recognition systems // Automatic control and computer sciences. – 2008. – vol. 42. – 2. – Pp.64-70 (Published in the USA).

20.B.O. Kapustiy, B.P. Rusyn, V.A. Tayanov Estimation of the Influence of Information Class Coverage on Generalized Ability of the k-Nearest-Neighbors Classifier // Automatic control and computer sciences. – 2008. – vol. 42. – 6. – Pp.283-287 (Published in the USA).

21.Kapustiy B.O., Rusyn B.P., Tayanov V.A. Estimation of the learning model effectiveness and quality of the metrical classifier work // Tavriyskiy Herald of Mathematics and Informatics. – 2. – 2009. Pp. 5-14 (in Ukrainian).

22.Kapustiy B.O., Rusyn B.P., Tayanov V.A. The influence of the learning set size on the generalized ability of metrical classifiers // Artificial Intelligence. – 4. – 2009. – Pp. 349-359 (in Ukrainian).

23.V.A. Tayanov, O.A. Lutsyk Classifier quality definition on the basis of the estimation calculation approach / Computers and Simulation in Modern Science – Mathematics and Computers in Science and Engineering: A Series of Reference Books and Textbooks, 2009 – Pp.166-171. (Published by WSEAS Press).

24.Rusyn B.P., Tayanov V.A., Lutsyk O.A. Correction of the problem of the nonideal illumination in problems of 3D reconstruction by the photometric stereo method // Herald of the Lviv Polytechnic National University “Radioelectronics and Telecommunications”. – 2009. – 645. – Pp. 239-242 (in Ukrainian).

25.B. P. Rusyn, V. A. Tayanov, O. A. Lutsyk Upper-bound estimates for classifiers based on a dissimilarity function // Cybernetics and System Analysis. – Vol. 48, Issue 4, 2012, pp. 592-600 (Published in the USA).

CONFERENCE PRESENTATIONS

26.Tayanov V. A. Optimization of the feature selection in recognition systems built on the basis of orthogonal transformations / Proceedings of XVII Open Scientific and Technical Conference of Young Scientists and Specialists “Diagnostic Systems”, Lviv, Ukraine, 2002, Physico-Mechanical Institute of the National Academy of Science of Ukraine. – Pp. 175-178 (in Ukrainian).

27.Tayanov V. A. About some errors that appears when one determines the reliability parameters of the decision making support systems / Proceedings of XVIII Open Scientific and Technical Conference of Young Scientists and Specialists “Diagnostic Systems and Signals”, Lviv, Ukraine, 2003, Physico-Mechanical Institute of the National Academy of Science of Ukraine. – Pp. 210-213 (in Ukrainian).

28.Tayanov V.А., Tayanov S.A. The error analysis of speech signal computer compression by Karhunen-Loeve transform / Proc. of the 11-th Polish-Ukrainian Conf. on "Cad in Machinery Design – Implementation and Educational Problems”. – Warsaw, 2003. – P. 113-119 .

29.B.P. Rusyn, B.O. Kapustiy, V.A. Tayanov About the conceptions of the optimal and reliable recognition / Signal/Image Procession and Pattern Recognition: The Seventh All-Ukrainian International Conference, October 11-15, 2004, Kyjiv, Ukraine. – Pp. 29-32 (in Ukrainian).

30.B.P. Rusyn, B.O. Kapustiy, V.A. Tayanov Peculiarities of the function model application of the likelihood relations for the recognition problems / Modern Problems of Telecommunications – 2004: Materials of the Scientific and Practical Conference, Lviv, October 22-24, 2004, Ukraine. – Pp.29-31 (in Ukrainian).

31.Kapustiy B.O., Rusyn B.P., Tayanov V.A. Definition of the object density measure in class boundary / Proc. of the Intern. Conf. TCSET’2004 “Modern Problems of Radio Engineering, Telecommunications and Computer Science”. – Lviv-Slavsko, 2004. – P. 253 .

32.Tayanov V. A. Classifier optimization in the conditions of small samples / Proceedings of XIX Open Scientific and Technical Conference of Young Scientists and Specialists “Diagnostic Systems”, Lviv, Ukraine, 2005, Physico-Mechanical Institute of the National Academy of Science of Ukraine. – Pp. 367-370 (in Ukrainian).

33.B.P. Rusyn, B.O. Kapustiy, V.A. Tayanov Parametrical synthesis of recognition algorithms by the differential indexes of reliability / Proceedings of the Third International Scientific and Technical Conference on Optoelectronic Information Technologies “Fotonics-ODS-2005”, Vinnytsia, 2005. – Pp. 103-104 (in Ukrainian).

34.Kapustiy B.O., Rusyn B.P., Tayanov V.A. Realization of the statistical detection methods in pattern recognition tasks / Proc. of the Intern. Conf. “The Experience of Designing and Application of CAD Systems in Microelectronics” CADSM’2005. – Lviv-Polyana, 2005. – P. 99-101 .

35.B.P. Rusyn, B.O. Kapustiy, V.A. Tayanov Classifier optimization both in feature and metrical spaces / Signal/Image Procession and Pattern Recognition: The Eighth All-Ukrainian International Conference, August 28-31, 2006, Kyjiv, Ukraine. – Pp. 31-34 (in Ukrainian).

36.B.P. Rusyn, B.O. Kapustiy, V.A. Tayanov Parametrical synthesis of recognition systems / Proceedings of International Youth Scientific and Technical Conference of Students, Post-Graduate Students and Scientists “Youth and Modern Problems of Radioengineering and Telecommunications RT-2006”, 2006, Sevastopol, Ukraine. – Pp.181. (in Russian).

37.Kapustiy B.O., Rusyn B.P., Tayanov V.A. Parametrical recognition algorithm synthesis based on the sequential analysis / Proc. of the Intern. Conf. TCSET’2006 “Modern Problems of Radio Engineering, Telecommunications and Computer Science”. – Lviv-Slavsko, 2006. – P. 294-296 .

38.B.O. Kapustiy, B.P. Rusyn, V.A. Tayanov Creating of Quasioptimal General Classifiers Based on Distance Function / IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS’2007): Technology and Applications 6-8 of September 2007, Dortmund, Germany. – Pp.469-473.

39.B.P. Rusyn, B.O. Kapustiy, V.A. Tayanov The ways of building of optimal probabilistic model of the recognition systems / Mathematical Methods of Pattern Recognition: The 13th All-Russian Conference Devoted to 15th Anniversary of Russian Foundation for Basic Research, 30th of September - 6th of October 2007, Zelinogorsk, Leningrad Region, Russia. – Pp. 37-39 (in Russian).

40.B.P. Rusyn, B.O. Kapustiy, V.A. Tayanov Construction and exploration of metric classifier training based on probability-combinatory approach / The Ninth All-Ukrainian International Conference on Signal/Image Processing and Pattern recognition, November 2-7, 2008, Kyjiv, Ukraine. – Pp. 19-22 (in Ukrainian).

41.B.P. Rusyn, B.O. Kapustiy, V.A. Tayanov About non-parametrical optimization of recognition algorithms / Proceedings of International Youth Scientific and Technical Conference of Students, Post-Graduate Students and Scientists “Youth and Modern Problems of Radioengineering and Telecommunications RT-2008”, 2008, Sevastopol, Ukraine. – Pp.262. (in Russian).

42.B.P. Rusyn, B.O. Kapustiy, V.A. Tayanov The combinatorial approach to the definition of kNN algorithm effectiveness / / Proceedings of International Scientific Conference “Intellectualization of the Information Processing”: Crimea Scientific Center of the National Academy of Science of Ukraine, 2008, Simferopol, Ukraine. – Pp.115-117. (in Russian).

43.B.O. Kapustiy, B.P. Rusyn, V.A. Tayanov Reliability Estimation of the 1NN Classifier under Information Class Coverage Reduction on the Basis of Combinatorial Approach / Proc. of the Fifth Intern. Conf. on Neural Networks and Artificial Intelligence 27-30 of May, Minsk, Belarus, 2008. – Pp.220-223.

44.V.A. Tayanov Combinatorial approach to information class coverage estimation influence on the recognition rate / Proc. of the Intern. Conf. TCSET’2008 “Modern Problems of Radio Engineering, Telecommunications and Computer Science”. – Lviv-Slavsko, 2008. – P. 353-354 .

45.Tayanov V.A., Lutsyk O.A.. The generalized analysis of the classifier learning problem on the basis of learning sets // Eleventh All-Russian Scientific and Technical Conference on Neuroinformatics, 2009, Moscow Engineering and Physical Institute, Moscow, Russia. – Pp. 108-117 (in Russian).

46.Tayanov V.A. Classifier learning on the basis of estimation calculation approach / 10th International Scientific and Technical Conference “The Modern Information and Electronic Technologies”, May 18-22, 2009, Odessa, Ukraine. – Pp.74 (in Ukrainian).

47.Tayanov V. A. Ways of the reliability definition of work of classifier composition / Proceedings of XXI Open Scientific and Technical Conference of Young Scientists and Specialists “Computing Methods. Mathematical Models of Signals and Processes. Image Processing and Pattern Recognition”, Lviv, Ukraine, 2009, Physico-Mechanical Institute of the National Academy of Science of Ukraine. – Pp. 322-325 (in Ukrainian).

48.B.P. Rusyn, V.A. Tayanov, O.A. Lutsyk, A. Molga Specular components classification in photometric stereo reconstruction // Informatics in XXI century. Information technologies in science, engineering and education, Radom 2009. – Pp.177-180.

49.V.A. Tayanov, O.A. Lutsyk The Methods of Modeling and Structure Estimation Building for kNN Classifiers on the Basis of Small Training Sets / Proc. of the 10th Intern. Conf. on Pattern Recognition and Information Processing 19-21 of May, Minsk, BSU, Belarus, 2009. – Pp.95-99.

50.Bohdan. Rusyn, Oleksiy Lutsyk, Vitaliy Tayanov, Agnieszka. Molga Analysis of the data complexity for feature extraction in the task of photometric stereo // Informatics in XXI century. Information technologies and its application, Radom 2010. – Pp.132-140.

51.Tayanov V. A. Inequalities for the models of generalized metrical classifiers / The Tenth All-Ukrainian International Conference on Signal/Image Processing and Pattern recognition, Kyjiv, Ukraine, 2010. – Pp.33-36 (in Ukrainian).

52.V.A. Tayanov Some questions of consensus building using co-association / Recent Researches in Artificial Intelligence and Database Management // Proc. of the 11th WSEAS International Conference on Artificial Intelligence, knowledge Engineering and Data Bases (AIKED’12), 2012. – Pp. 61-66.

53.Tayanov V.A. Geometrically oriented video tracking / Proc. of the Intern. Conf. TCSET’2012 “Modern Problems of Radio Engineering, Telecommunications and Computer Science”. – Lviv-Slavsko, 2012. – P. 143-144.

54.Tayanov V. A. Tracking Algorithm for Videos with High Resolution and Frame Rate / The Eleventh All-Ukrainian International Conference on Signal/Image Processing and Pattern recognition, Kyjiv, Ukraine, 2012. – Pp. 115-118.

55.V. Tayanov Practical Issues for Real-Time Video Tracking / Proc. of the Intern. Conf. on Image and Vision Computing WASET’2012. – Issue 71, Venice, Italy, 2012. – Pp. 738-741.

56.V. Tayanov Hierarchical algorithm of key point search on the object contours of images / 23rd International Crimean Conference on Microwave and Telecommunication Technology CriMiCo'2013, Sevastopol, Ukraine, 2013. – Pp. 1218-1219.

57.V. Tayanov, E. Granger, M. Bordallo, and A. Hadid Super-resolution pipeline for fast adjudication in watchlist screening / The Fifth Intern. Conf . on Image Processing Theory, Tools and Applications IPTA'15, November 10-13, 2015, Orléans . – Pp. 1-6 .

58.V. Tayanov, A. Krzyzak and C. Suen Some Properties of Consensus-Based Classification / 10th International Conference on Computer Recognition Systems CORES '2017, May 22-24, Wroclaw, Poland. -Pp. 276-285.

59.V. Tayanov, A. Krzyzak and C. Suen Classification boosting by data decomposition using consensus-based combination of classifiers / 14th International Conference on Image Analysis and Recognition ICIAR'2017, July 5-7, Montreal, Canada. -Pp. 408-415.

TECHNICAL REPORTS

60.Tayanov V., Campedel, M. Indicators for classification quality and stability // Technical report, 2009, Paris, ENST, 17p.

61.Tayanov V., Granger, E. Visualisation of Faces in Video for Rapid Adjudication // Technical report, 2014, Montreal, ETS, 48p.

BOOKS

62.V.I. Shmoilov, V.A. Tayanov Continuous fractions. Bibliographical index 1572-2000, Lviv, Merkator, 2002, 168p. (in Russian)

63.V.I. Shmoilov, B.P. Rusyn, V.A. Tayanov Image processing in homogeneous computing media, Lviv, Merkator, 2002, 70p. (in Russian).

64.B.P. Rusyn, B.O. Kapustiy, V.A. Tayanov Recognition systems with small training sets, Lviv, SPOLOM, 2006, 152p. (in Ukrainian).

BOOK CHAPTERS

65.V. Tayanov New Principles in Algorithm Design for problems of Face Recognition / Reviews, refinements and new ideas in face recognition / Ed. by Peter M. Corcoran, Rijeka, Croatia, 2011, 338p., pp.49-74.

References

Dr. Ching Suen (supervisor)

Concordia University

Professor, Computer Science and Software Engineering

Director, CENPARMI (Centre for Pattern Recognition and Machine Intelligence)