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Publications in Math-Net.Ru
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A problem of pattern recognition in arrays of interrelated objects. Recognition algorithm
Avtomat. i Telemekh., 2005, no. 12, 162–176
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The problem of pattern recognition in arrays of interconnected objects. statement of the recognition problem and basic assumptions
Avtomat. i Telemekh., 2004, no. 1, 143–158
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Dynamic programming algorithms for analysis of non-stationary signals
Zh. Vychisl. Mat. Mat. Fiz., 44:1 (2004), 70–86
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Estimation of the parameters of hidden Markov models of noise-like signals with spasmodically changing probability properties. II. Estimation of the structure parameters of a model
Avtomat. i Telemekh., 1994, no. 10, 45–67
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Estimation of the parameters of hidden Markov models of noise-like signals with spasmodically changing probability properties. I. Structure of the model and estimation of its quantitative parameters
Avtomat. i Telemekh., 1994, no. 9, 75–96
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Deterministic models and methods of pattern recognition on the times axis. III. Learning algorithm
Avtomat. i Telemekh., 1991, no. 5, 154–162
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Deterministic models and methods of pattern recognition on the time axis. II. A pattern recognition algorithm
Avtomat. i Telemekh., 1991, no. 4, 141–146
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Deterministic models and methods of pattern recognition on the time axis. I. Basic models and solvability of the recognition problem
Avtomat. i Telemekh., 1991, no. 3, 120–132
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Parametric learning in recognition of a flow of random events. II. Consistency Conditions for Parameter Estimates
Avtomat. i Telemekh., 1989, no. 7, 157–167
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Parametric learning in recognition of a flow of random events. I. Maximal likelihood estimates for parameters of random processes
Avtomat. i Telemekh., 1989, no. 6, 107–112
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Real-time algorithms for optimal recording of events
Avtomat. i Telemekh., 1987, no. 2, 119–128
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An algorithm for recognition of a flow of random events
Avtomat. i Telemekh., 1986, no. 2, 142–146
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Recognition of a stream of random events
Avtomat. i Telemekh., 1985, no. 4, 92–100
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Segmentation of structural curves based on the dynamic programming method
Avtomat. i Telemekh., 1985, no. 1, 101–108
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Algorithmical implementation of a linguistic approach to the analysis of experimental curves
Avtomat. i Telemekh., 1984, no. 4, 5–25
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Optimal segmentation of experimental curves
Avtomat. i Telemekh., 1983, no. 8, 84–95
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The method of partial approximation in the problem of finding informative parts of experimental curves
Avtomat. i Telemekh., 1977, no. 1, 97–108
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An algorithm for detection of times when random process equation parameters change
Avtomat. i Telemekh., 1976, no. 6, 23–32
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