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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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