Classifying the subjects of the Russian Federation on the basis of analysis of results of Gallup polling

The problem of processing of Gallup poll results by cluster analysis methods is considered. The aim of these polls, performed in different subjects of the Russian Federation, is to extract main characteristics of the regions. Demyanov Egor A. Born 1982. Graduated from the Moscow State University in 2004. Post-graduate student of the same university. Scientific interests: discrete mathematics and mathematical methods of pattern recognition. Author of two publications. Djukova Elena V. Born 1945. Graduated from the Moscow State University in 1967. Received candidate’s degree in Physics and Mathematics in 1979, Doctoral degree in Physics and Mathematics in 1997. Dorodnicyn Computing Center, Russian Academy of Sciences, leading researcher. Moscow State University, lecturer. Moscow Pedagogical University, lecturer. Scientific interests: discrete mathematics and mathematical methods of pattern recognition. Author of 76 papers. Peskov Nikolai V. Born 1978. Graduated from the Moscow State University in 2000. Received candidate’s degree in Physics and Mathematics in 2004. Dorodnicyn Computing Center, Russian Academy of Sciences, junior researcher. Scientific interests: discrete mathematics and mathematical methods of pattern recognition. Author of 17 papers. Inyakin Andrey S. Born 1978. Graduated from the Moscow State University in 2000. Received candidate’s degree in 2006. Dorodnicyn Computing Center, Russian Academy of Sciences, junior researcher. Scientific interests: discrete mathematics and mathematical methods of pattern recognition. Author of 16 papers.     

Increasing the efficiency of combinatorial logical data analysis in recognition and classification problems

Problems of increasing the efficiency of combinatorial logical data analysis in recognition problems are examined. A technique for correct conversion of initial information for reduction of its dimensionality is proposed. Results of testing this technique for problems of real medical prognoses are given. Djukova Elena V. Born 1945. Graduated from Moscow State University in 1967. Candidate’s degree in Physics and Mathematics in 1979. Doctoral degree in Physics and Mathematics in 1997. Dorodnicyn Computing Center, Russian Academy of Sciences, leading researcher. Moscow State University, lecturer. Moscow Pedagogical University, lecturer. Scientific interests: discrete mathematics and mathematical method of pattern recognition. Author of 70 papers. Peskov Nikolai V. Born 1978. Graduated from Moscow State University in 2000. Candidate’s degree in 2004. Dorodnicyn Computing Center, Russian Academy of Sciences, junior researcher. Scientific interests: discrete mathematics and mathematical methods of pattern recognition. Author of ten papers. Inyakin Andrey S. Born 1978. Graduated from Moscow State University in 2000. Dorodnicyn Computing Center, Russian Academy of Sciences, junior researcher. Scientific interests: discrete mathematics and mathematical methods of pattern recognition. Author of ten papers. Sakharov Aleksei A. Born 1980. Graduated from Moscow State University in 2003. Moscow Pedagogical University, graduate student. Scientific interests: discrete mathematics and mathematical method of pattern recognition. Author of three papers.     

Effectiveness of consideration of deformations in problems of fingerprint identification

In the paper, we consider some refined methods for fingerprint recognition taking into account a distorting factor, namely, elastic deformations arising when a finger contacts with the scanner surface. We show that the consideration of elastic deformations significantly improves the quality of fingerprint recognition. Ushmaev Oleg Stanislavovich. Born 1981. Graduated from the Faculty of Mechanics and Mathematics of Lomonosov Moscow State University in 2002. Received candidate’s degree in 2004. Scientific interests: image processing, pattern recognition, biometrics. Author of 14 publications. Novikov Sergei Olegovich, Senior Researcher at the Institute of Information Problems RAS. Born in 1963. Graduated from the Moscow Institute of Physics and Technology in 1986. In 1990 finished the postgraduate study at the Institute of Information Problems, Russian Academy of Sciences. Candidate of Technical Sciences. Scientific interests: pattern recognition, image processing, mathematical modeling in biology. Author of two patents and more than 20 publications. Member of the International Scientific Societies SPI, IEEE Computer Society, IAPR.     

Methods of recognition based on the function of rival similarity

A unified approach to the development of pattern recognition methods is proposed. The approach is based on the employment of the function of rival similarity (FRiS-function), which adequately represents human methods of evaluation of similarity and difference. Methods of recognition based on this approach are briefly described. Examples of solution of actual and benchmark problems using FRiS-function are given. Nikolai Grigor’evich Zagoruiko finished a secondary school in Novosibirsk oblast. Graduated from the Electroengineering Department of the Leningrad Institute of Motion-picture Engineers in 1953. Since 1960 has been working at the Institute of Mathematics of the Siberian Branch of the Russian Academy of Sciences. Received candidate’s degree in 1962 and doctoral degree in Pattern Recognition in 1969. Since 1973 to 1982 had been working as a vice-rector of the Novosibirsk State University. In 1988–1990 had been heading a project in the International Laboratory of Artificial Intelligence in Bratislava (Slovakia). Scientific interests: pattern recognition and prediction. Author of 219 publications, including 13 monographs. Vladimir Vladimirovich Dyubanov. Born 1981. Graduated from the Krasnoyarsk State University in 2002. Currently is a postgraduate at the Novosibirsk State University. Scientific interests: data mining and pattern recognition and prognosis. Author of eight papers. Ol’ga Andreevna Kutnenko. Born 1958. Graduated from the Novosibirsk State University in 1980. Received candidate’s degree in 2000. Scientific interests: data analysis, determination of empirical principles, pattern recognition. Author of 13 papers. Irina Artemovna Borisova. Born 1978. Graduated from the Novosibirsk State University in 2002. Currently is a chief programmer at the Institute of Mathematics, Siberian Division, Russian Academy of Sciences. Scientific interests: pattern recognition. Author of nine papers.     

Identification of stable description elements using an active sensor

A two-phase method for the pattern-driven recognition of objects in images is presented, implemented, and tested numerically. The method is based on the use of an active sensor. Possibilities for development are envisaged. This approach was shown to have advantages in solving the object-background separation problem and a high recognition rate was achieved with slow learning. Dmitrii I. Mednikov. Born in 1987. Fifth-year student at the Faculty of Mathematics and Mechanics of Moscow State University. Scientific interests include image recognition and image processing. Author of one paper. Alexei Milovidov. Born in 1986. Graduated from the Faculty of Mathematics and Mechanics of Moscow State University in 2008. Scientific interests include image recognition. Author of 3 papers. Semen Yu. Sergunin. Born in 1980. Graduated from the Faculty of Mathematics and Mechanics of Moscow State University in 2002. Postgraduate student at the same faculty. Scientific interests include image recognition. Author of five papers. Mikhail I. Kumskov. Born in 1956. Graduated from the Faculty of Computational Mathematics and Cybernetics of Moscow State University in 1978. Received his candidate’s degree in Physics and Mathematics in 1981 and doctoral degree in 1997. Professor at the Department of Computational Mathematics of the Faculty of Mathematics and Mechanics of Moscow State University. Scientific interests include the prediction of properties of chemical compounds, optimization of structural objects representation for classification problems, and image processing. Author of more than 50 papers.     

Design of speaker verification systems with the use of an algorithm of Dynamic Time Warping (DTW)

The problem of designing a system for speaker verification under the condition that the pronunciation of a phrase is nonuniform in time is considered. The DTW algorithm is studied as a method for smoothing a sequence of speech characteristics in time for improvement of the quality of further processing and making decision about verification. Geppener Vladimir Vladimirovich. Born 1940. Graduated from the Leningrad Electrotechnical Institute in 1964. Received candidate’s degree (in Engineering) in 1969 and Doctoral degree (in Engineering) in 2000. Professor at the Chair of Mathematical Software and Computer Applications of the St. Petersburg Electrotechnical University. Scientific interests are connected with the use of methods of artificial intelligence in systems of signal processing. Author and coauthor of more than 150 scientific publications. Haidar Adel S. Born 1964. Graduated from the Khar’kov Polytechnical Institute in 1988. Since 1989 worked as a programmer at the Center of Statistical Investigations in Aden (Yemen) and as an assistant professor at the Aden University. In 2001–2004, post-graduate student at the St. Petersburg Electrotechnical University. Scientific interests: pattern recognition, speech technologies, and digital signal processing. Author of 10 papers on computer methods for speech recognition. Simonchik Konstantin K. Born 1983. Since 2000, a student of the Chair of Mathematical Software and Computer Applications of the St. Petersburg Electrotechnical University. Scientific interests: pattern recognition, speech technologies, and adaptive and recurrent filtering. Author of 3 papers on applications of digital signal processing.     

Identification of inorganic salts and determination of their concentrations in aqueous solutions based on the valence Raman band of water using artificial neural networks

The characteristic features of the valence Raman band of water in the solutions of electrolytes are revealed. These features allow the noncontact recognition of the type of salt and the determination of its concentration in aqueous solutions using artificial neural networks. Viktor V. Fadeev. Born 1935. Graduated from the Physics Faculty of Moscow State University in 1959. Received candidate’s degree in 1967 and doctoral degree in 1983. Professor of the Physics Faculty, Moscow State University. Scientific interests: optics, laser physics, spectroscopy, and inverse problems. Author of more than 300 papers and a discovery diploma. Laureate of the USSR State Prize (1983). Tat’yana A. Dolenko. Born 1961. Graduated from the Physics Faculty of Moscow State University in 1983. Received candidate’s degree in 1987. Senior Researcher of the Physics Faculty, Moscow State University. Scientific interests: laser spectroscopy, Raman spectroscopy of aqueous media, inverse problems, and artificial neural networks. Author of 57 papers and an invention certificate. Laureate of the Lenin Komsomol Prize (1985). Sergei A. Burikov. Born 1978. Graduated from the Physics Faculty of Moscow State University in 2002. Junior Researcher of the Physics Faculty, Moscow State University. Scientific interests: optics, Raman spectroscopy of aqueous media, inverse problems, and artificial neural networks. Author of 14 papers. Aleksandr V. Sugonyaev. Born 1982. Graduated from the Physics Faculty of Moscow State University in 2005. Scientific interests: Raman spectroscopy of aqueous media, inverse problems, and artificial neural networks. Author of 5 papers.     

Preprocessing of alphanumeric images to be recognized by autonomous computing systems

Methods and algorithms for digital image processing that increase the probability of correct recognition of alphanumeric data are considered. The computational costs of the control block of an autonomous image recognition system based on TMS320C5416 signal processor are analyzed. Natalia S. Novozhilova. Born 1955. Graduated from Moscow Institute of Electronic Engineering in 1978. Received her candidate’s degree (Mathematics and Physics) in 1984. At present, she is a senior researcher at Lukin Scientific Research Institute of Physical Problems. Scientific interests: pattern recognition and mathematical methods for processing the results of a physical experiment. Author of 22 publications. Aleksandr G. Safonov. Born 1952. Graduated from Moscow Power Engineering Institute in 1975. Received his candidate’s degree (Technical Sciences) in 1982. At present, he is a head of department at Lukin Scientific Research Institute of Physical Problems. Scientific interests: automated data processing complexes, pattern recognition, and microelectronics. Author of more than 50 publications.     

Software environment for simulating algorithms for image analysis and processing

We consider the purpose, functionality, configuration, and structure of a software environment designed for simulation and investigation of methods, algorithms, and information technology for digital images analysis and processing. Mikhail V. Gashnikov. Born 1975. Graduated from the Samara State Airspace University (SSAU) in 1998. Received candidate’s degree in Technology in 2004. He is now an assistant professor at the chair of earth information of the SSAU. Scientific interests: image processing, compression, statistical coding. Author of more than 30 publications, including 12 papers and one monograph (in coauthorship). Member of the Russian Association for Pattern Recognition and Image Analysis. Evgenii V. Myasnikov. Born 1981. Graduated from the Samara State Airspace University in 2004. He is now a post-graduate student at the Chair of Earth Information of the Samara State Airspace University. Scientific interests: development of software systems, image processing, image retrieval in databases. Author of 6 publications, including one paper. Member of the Russian Association for Pattern Recognition and Image Analysis. Andrei V. Chernov. Born 1975. Graduated from the Samara State Airspace University (SSAU) in 1998. Received candidate’s degree in Technology in 2004. He is now an assistant professor at the Chair of Earth Information of the SSAU and a research fellow at the Institute of Image Processing Systems, Russian Academy of Sciences. Scientific interests: image processing, pattern recognition, geoinformation systems. Author of more than 50 publications, including 11 papers and one monograph (in coauthorship). Member of the Russian Association for Pattern Recognition and Image Analysis. Nikolai I. Glumov. Born 1962. Graduated from the Kuibyshev Airspace Institute (at present, the Samara State Airspace University) in 1985. Received candidate’s degree in Technology in 1994. He is now a senior researcher at the Institute of Image Processing Systems, Russian Academy of Sciences. Scientific interests: image processing and pattern recognition, compression of images, simulation of systems of digital image formation. Author of more than 50 publications, including 21 papers and one monographs (in coauthorsip). Member of the Russian Association for Pattern Recognition and Image Analysis. Vladislav V. Sergeev. Born 1951. Graduated from the Kuibyshev Airspace Institute (at present, the Samara State Airspace University) in 1974. Received doctoral degree in Technology in 1993. Head of the Laboratory of Mathematical Methods for Image Processing at the Institute of Image Processing Systems, Russian Academy of Sciences. Scientific interests: digital signal processing, image analysis, pattern recognition, earth information. Author of more than 150 publications, including approximately 40 papers and two monographs (in coauthorship). President of the Povolzh’e Branch of the Russian Association for Pattern Recognition and Image Analysis. Corresponding member of the Russian Ecological Academy and of the Russian Academy of Engineering Sciences. Member of the International Society for Optical Engineering. A laureate of the Samara Provincial Government prize in science and engineering. Marina A. Chicheva. Born 1964. Graduated from the Kuibyshev Airspace Institute (at present, the Samara State Airspace University) in 1987. Received candidate’s degree in Technology in 1998. She is now a senior researcher at the Institute of Image Processing Systems, Russian Academy of Sciences. Scientific interests: image recognition, compression, fast algorithms for discrete transformations. Author of more than 40 publications, including 15 papers and one monograph (in coauthorship). Member of the Russian Association for Pattern Recognition and Image Analysis.     

An algorithm for median filtering on the basis of merging of ordered columns

This paper presents algorithms for optimization of the median filtering of images. A median filtering algorithm on the basis of merging ordered columns of an image in the 3 × 3 window of a filter is developed, which allows us to perform the filtering on a personal computer in real time without use of additional hardware. This algorithm outperforms other median filtering algorithms in execution speed on a personal computer. Zalesky Boris Andreevich. Born 1953. Graduated from the Lomonosov Moscow University in 1979. Received the candidate’s degree in 1982 and doctoral degree in Physics and Mathematics in 1990. Leading researcher at the United Institute of Informatics Problems of the National Academy of Sciences of Belarus. Scientific interests: image processing, pattern recognition. Author of 81 papers. In 1987 awarded Leninskii Komsomol prize in the area of mathematics. Kravchonok Aleksandr Ivanovich. Born 1982. Graduated from the Belarussian State University in 2004. Junior researcher at the United Institute of Informatics Problems of the National Academy of Sciences of Belarus. Scientific interests: image processing, pattern recognition. Author of two papers. Lukashevich Pavel Vladimirovich. Born 1982. Graduated from the Moscow Institute of Physics and Technology in 2005. Junior researcher at the United Institute of Informatics Problems of the National Academy of Sciences of Belarus. Scientific interests: image processing, pattern recognition. Author of one paper.     

Algorithm for detection of the <Emphasis Type="Italic">QRS</Emphasis> complexes in the fetal ECG in the course of delivery

An algorithm for detection of the QRS complexes in the fetal ECG in the course of delivery is presented. A set of digital filters with the subsequent threshold detection of the QRS complexes and clarification of the position of the reference point is used in the algorithm. A comparison of the amplitudes of the current detected complex and a typical complex and correlation methods are employed for decreasing the noise level. The algorithm quality is experimentally estimated. Anatolii P. Nemirko. Born 1943. Graduated from the Leningrad Electrotechnical Institute in 1967. Received candidate’s degree in 1974 and doctoral degree in 1985. Professor of the St. Petersburg Electrotechnical University LETI. Scientific interests: pattern recognition, computerized signal analysis, development of biomedical computer systems. Author of more than 180 papers and eight books. Board member of the International Association for Pattern Recognition, member of editorial board of Pattern Recognition and Image Analysis. Aleksandr N. Kalinichenko. Born 1954. Graduated from the Leningrad Electrotechnical Institute in 1977. Received candidate’s degree in 1979. Associate Professor of the St. Petersburg Electrotechnical University LETI. Scientific interests: algorithms and methods for computerized analysis of biomedical signals. Author of more than 80 papers and one monograph. Roman A. Shepoval’nikov. Born 1980. Graduated from the St. Petersburg Electrotechnical University LETI in 2003. PhD student of the St. Petersburg Electrotechnical University LETI. Scientific interests: digital processing of biomedical signals and pattern recognition.     

Some modifications of the algorithm for construction of classification trees

Some modifications of the algorithm for constructing classification trees that are helpful in the processing of noise spectra in the technical diagnostics of the nuclear power plant are presented. Aleksandr O. Skomorokhov. Born 1951. Graduated from the Faculty of Radio Physics, Nizhni Novgorod State University in 1973. Received candidate’s degree in 1984. Associate Professor of the Obninsk State Technical University of Atomic Energy. Scientific interests: development and application of modern methods for data analysis, technical diagnostics, and matrix programming languages. Author of 30 papers. Member of SIGAPL and SIGKDD of ACM, BCS, and the Russian Association of Artificial Intelligence. Vladimir N. Kutinsky. Born 1975. Graduated from the Obninsk Institute of Atomic Power Engineering in 1998. Senior Lecturer of the Obninsk State Technical University of Atomic Energy. Author of three papers. Member of the Russian Association of Artificial Intelligence. Winner of the Obninsk Stipend for Students, PhD Students, and Young Lecturers. Mikhail T. Slepov. Born 1966. Graduated from the Obninsk Institute of Atomic Power Engineering in 1992. Received candidate’s degree in 1999. Head of the Laboratory of Technical Diagnostics at the Novovoronezhskaya Nuclear Power Plant. Scientific interests: vibration analysis, signal processing, spectra. Author of seven papers. Member of Advisory Committee of the Rosenergoatom Concern.     

Binocular optical electronic complex for venous diagnostics

We consider the structure of a binocular optical electronic diagnostic complex, distinguish the main stages of image preprocessing and analysis of investigated objects, and describe how the complex may be used for diagnostics of deep venous thrombosis of lower extremities. Miroshnichenko Sergey Yur’evich. Born 1983. 5th-year student at the Kursk State Technical University. Scientific interests: systems of technical vision, images pre-processing and pattern recognition. Mishustin Vladimir Nikolaevich. Born 1964. Graduated from the Kursk State Medical University in 1989. Received his candidate’a degree in 1994. Author of 30 scientific publications including 26 papers and 4 publications in proceedings of conferences. Has 3 patents of the Russian Federation. Awarded medals of the Russian Academy of Science and the Ministry of Education. Scientific interests: diagnostics and prognosis of thromboembolic coplications of patients with injuries. Shirabakina Tamara Alexandrovna Born 1955. Graduated from the Tomsk Polytechnical Institute in 1978. Received her candidate’s degree in 1983. Author of 7 books and courses, 75 scientific publications. Scientific interests: machine vision, image analysis and robotics.     

Fast algorithms for a multidimensional hypercomplex discrete Fourier transform with radix-3 decomposition

Combined algorithms for the multidimensional hypercomplex discrete Fourier transform (HDFT) of a real signal with data representation in the Hamilton-Eisenstein generalized codes are synthesized. The complexity of arithmetic operations in a commutative-associative hypercomplex algebra and its representation in generalized codes are obtained. It is shown that there exist only two essentially different commutative-associative hypercomplex algebras: the direct sums of real or complex algebras. The computational complexity of the algorithm synthesized is estimated. Marat Vyacheslavovich Aliev. Born 1978. Graduated from Adygeya State University in 2000. Received candidate’s degree in physics and mathematics in 2004. Presently he is a senior lecturer at the Department of Applied Mathematics and Information Technologies, Adygeya State University. Scientific interests: image processing, fractals, fast algorithms of discrete transforms, and finite-dimensional algebras. Author of 14 publications, including 7 papers. Member of the Russian Association of Pattern Recognition and Image Analysis. Marina Aleksandrovna Chicheva. Born 1964. Graduated from the Kuibyshev Aviation Institute (now Samara State Aerospace University) in 1987. Received candidate’s degree in Engineering in 1998. Presently, she is a senior researcher at the Image Processing Systems Institute, Russian Academy of Sciences. Scientific interests: image processing, compression, and fast algorithms of discrete transforms. Author of more than 50 publications, including 18 papers and 1 monograph. Member of the Russian Association of Pattern Recognition and Image Analysis.     

Parallel algorithms for a hypercomplex discrete fourier transform

Methods for the parallel computation of a multidimensional hypercomplex discrete Fourier transform (HDFT) are considered. The basic idea consists in the application of the properties of the hypercomplex algebra in which this transform is performed. Additional possibilities for increasing the efficiency of the algorithm are provided by the natural parallelism of the multidimensional Cooley-Tukey scheme. Marat Vyacheslavovich Aliev. Born 1978. Graduated from the Adygeya State University in 2000. Received candidate’s degree in physics and mathematics in 2004. Presently he is a senior lecturer at the Department of Applied Mathematics and Information Technologies, Adygeya State University. Scientific interests: image processing, fractals, fast algorithms of discrete transforms, and finite-dimensional algebras. Author of 14 publications, including 7 papers. Member of the Russian Association of Pattern Recognition and Image Analysis. Aleksandr Mikhailovich Belov. Born 1980. Graduated from the Samara State Aerospace University in 2002. In the same year, he entered postgraduate courses with the specialty 05.13.18: mathematical modeling, numerical methods, and program complexes. Presently he is a postgraduate student at the Department of Geoinformatics, Samara State Aerospace University, and a trainee at the Laboratory of Mathematical Methods of Image Processing, Image Processing Systems Institute, Russian Academy of Sciences. Scientific interests: discrete orthogonal transforms, fast algorithms of discrete orthogonal transforms, and theory of canonical systems of calculus. Author of 13 publications, including 5 papers. Member of the Russian Association of Pattern Recognition and Image Analysis. Aleksei Vladimirovich Ershov. Born 1983. In 2000, he graduated from the Samara Lyceum of Economics and entered the Faculty of Mechanics and Mathematics, Samara State University, to specialize in the field of Organization and Technology of Information Security. In 2001, he started his training within an additional educational program and was qualified as a translator in the field of professional communication. Presently he is a fifth-year student at Samara State University. The title of his diploma work is “Control of the Flows of Confidential Information.” He is an active participant in the translation of the monograph Principia Mathematica, Cambridge University Press, 1927, by A. Whitehead and B. Russell. Author of four publications, including two papers. Marina Aleksandrovna Chicheva. Born 1964. Graduated from the Kuibyshev Aviation Institute (now Samara State Aerospace University) in 1987. Received candidate’s degree in Engineering in 1998. Presently she is a senior researcher at the Image Processing Systems Institute, Russian Academy of Sciences. Scientific interests: image processing, compression, and fast algorithms of discrete transforms. Author of more than 50 publications, including 18 papers and 1 monograph. Member of the Russian Association of Pattern Recognition and Image Analysis.     

Clustering of signal components within most likely ECG episodes to analyze the ECG-waves

A computational cardiology based approach to find the number of ECG-waves responsible for generation and presentation of an ECG episode is proposed. The methodology adopted here is based on the comparison and study of diagnostic efficiency calculated from 12 lead ECG data. The diagnostic-efficiency is measured by using NN classifier whereas clustered points of most likely ECG-episode constitute the diagnostic feature. The result is also cross-validated using episodes transformed by existing signal transform technique, “Discrete Fourier Transform” and another transformation. “Velocity-Wave number Transform.” The result indicates the possible number of episode-clusters giving maximum diagnostic efficiency and also gives a new insight on ECG waves. The article is published in the original. Tapobrata Lahiri. Born in 1966. Graduated from Kalyani University, India in 1989. Received his PhD degree in Bio-physics in 1998. Assistant Professor at Indian Institute of Information Technology, Allahabad, India. Author of more than 25 publications. Scientific interests: Pattern Recognition. Systems Modelling and Simulation, Operation Research, Fractal and Chaos Analysis, Medical Informatics. Bioinformatics. Subrata Sarkar. Born in 1983. Received BE (Electronics and Communication) degree from Burdwan University, India in 2005. Doing his PhD in Engineering from Jadavpur University, Kolkata. Junior Research Fellow in DST, India sponsored ILTP Indo-Russian project. Scientific interests: Medical signal processing, Medical image processing. Aleksei Morozov. Born in 1968. Graduated from Bauman State Technical University, Moscow, in 1991. Received his PhD (Kandidat Nauk) degree in Physics and Mathematics in 1998. Senior Researcher at the Institute of Radio Engineering and Electronics of the Russian Academy of Sciences. Author of more than 60 publications. Scientific interests: biomedical signals analysis, logic programming, Internet agents. Sudip Sanyal. Born in 1957. Graduated from Banaras Hindu University, Varanasi, India in 1980. Received his PhD degree in Theoretical Nuclear Physics in 1986. Associate Professor at Indian Institute of Information technology, Allahabad, India. Author of more than 90 publications. Scientific interests: Pattern recognition, Information retrieval. Yurii Obukhov. Born in 1960. Graduated from the Moscow Institute of Physics and Technology in 1974. Obtained his Doctoral (Doctor Nauk) degree in Physics and Mathematics in 1992. Head of the Laboratory of the Institute of Radio Engineering and Electronics of the Russian Academy of Sciences. Current research interests: data visualizing, image analysis and processing, biomedical information science, and information systems. Author of more than 70 publications. Member of Editors Board of Biomedical Radioelectronics journal     

Optimal signal interpolation using the values of signal and its derivative

The effect of the bias in a sequence of signal samples and sequence of signal derivative samples on the signal reconstruction accuracy is considered for a bandwidth-limited signal. Vitalii M. Efimov. Born 1933. Graduated from the Moscow Institute of Aviation. Received candidate’s degree in 1964. Leading researcher at the Institute of Automatics and Electrometry, Siberian Division, Russian Academy of Sciences. Scientific interests: signal sampling and quantization and processing and squeezing of digital data. Author of 85 papers. Aleksandr L. Reznik. Born 1948. Graduated from Novosibirsk State University in 1969. Received candidate’s degree in 1981. Head of the laboratory of the Institute of Automatics and Electrometry, Siberian Division, Russian Academy of Sciences. Scientific interests: analytical and numerical methods for solving complex probability problems with computer calculations. Author of 64 papers. Andrei V. Torgov. Born 1959. Graduated from Novosibirsk State University in 1983. Leading software engineer at the Institute of Automatics and Electrometry, Siberian Division, Russian Academy of Sciences. Scientific interests: image processing and digital filtering. Author of 17 papers.     

Computational model for recognition of scene objects with an active sensor

In the paper, a computational model for recognition of objects in a scene image is presented. The model is based on the use of an active sensor. The structure of the object model (OM) is described. This structure is a component that stores different representations of the object and puts at user’s disposal an interface whose operations are used in the scene recognition process. Semen Yu. Sergunin. Born 1980. Graduated from the Faculty of Mathematics and Mechanics of Moscow State University in 2002. Finished postgraduate course of the Department of Computational Mathematics of the same faculty. Scientific interests include image recognition. Author of about 20 papers. Mikhail I. Kumskov. Graduated from the Faculty of Computational Mathematics and Cybernetics of Moscow State University in 1978. Received his candidate’s degree (in Physics and Mathematics) in 1981 and doctoral degree in 1997. In 1981–1997 taught at the Faculty of Computational Mathematics and Cybernetics in the special seminar on Computer Graphics and Image Processing of the Department of Automation of Systems of Computational Complexes. Since 1992 works at the laboratory of Mathematical Chemistry of the Zelinsky Institute of Organic Chemistry of the Russian Academy of Sciences. Since 1997 teaches at the Department of Computational Mathematics of the Faculty of Mathematics and Mechanics of Moscow State University. Author of more than 50 papers. Scientific interests include prediction of properties of chemical compounds, optimization of structural object representation for classification problems, and image understanding.     

A generalization of segmentation methods of quantiles and modes to the case of several images

The problem of segmentation by several images is considered for fragments of a scene containing a given object and its neighborhood. To solve this problem, generalizations of the well-known methods of quantiles and modes are proposed that are constructed on the concept of random distance. The results of computer experiments on the segmentation of model and quasireal scenes by the methods proposed are compared. Vyatcheslav Borisovich Fofanov. Born 1948. Graduated from the Kazan State University in 1971. Received candidate’s degree in engineering in 1977. Currently is an assistant professor at Kazan State University. Scientific interests: pattern recognition and image deciphering. Author of more than 40 publications. Ramil’ Fuatovich Kuleev. Born 1985. Graduated from the Kazan State University in 2007. Currently is a postgraduate student at the Chair of Economical Cybernetics, Kazan State University. Scientific interests: pattern recognition and image deciphering. Author of eight publications.