On a pattern recognition method based on polynomial regression

Automation and Remote Control

Volumn 67, Issue 2, 2006, Pages 278-292

  Gavrikov, M B ^a   Misyurev, A V ^b   Pestryakova, N V ^b   Slavin, O A ^b  

^a KELDYSH INSTITUTE OF APPLIED MATHEMATICS   (Russian Federation)

^b INSTITUTE FOR SYSTEMS ANALYSIS   (Russian Federation)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CODES (SYMBOLS); COMPUTER GRAPHICS; NEURAL NETWORKS; POLYNOMIALS; REGRESSION ANALYSIS;

GRAPHIC PATTERNS; POLYNOMIAL REGRESSION; SYMBOL RECOGNITION ALGORITHMS;

PATTERN RECOGNITION;

EID: 33645311800     PISSN: 00051179     EISSN: None     Source Type: Journal    
DOI: 10.1134/S000511790602007X     Document Type: Article

References (17)

1. Sebestyen, G.S., Decision Making Processes in Pattern Recognition, New York: MacMillan, 1962.
2. Nilson, N.J., Learning Machines, New York: McGraw-Hill, 1965.
3. Schurmann, J., Pattern Classification, New York: Wiley, 1996.
4. Albert, A.E. arid Gardner, L.A., Stochastic Approximation and Nonlinear Regression, Cambridge: MIT Press, 1966.
5. Becker, D. and Schurmann, J., Zur verstärkten Berucksichtigung schlecht erkennbarer Zeichen in der Lernstichprobe, Wissenschaftliche. Berichte AEG-Telefunken 45, 1972, pp. 97-105.
6. Pao, Y.-H., The Functional Link Net: Basis for an Integrated Neural-Net Computing Environment, in Adaptive, Pattern Recognition and Neural Networks, Pao, Y.-H., Ed., Reading: Addison-Wesley, 1989, pp. 197-222.
7. Franke, J., On the Functional Classifier, Proc. First Int. Conf. Document Anal. Recognition, St. Malo, 1991, pp. 481-489.
8. Linnik, Yu.V., Metod naimen'shikh kvadratov i osnovy matematiko- statisticheskoi teorii obrabotki nablyuderiii (The Least-Squares Method and the Bases of Mathematical-Statistical Theory of Observation Processing), Moscow: Fizmatlit, 1958.
9. Seber, G.A.F., Linear Regression Analysis, New York: Wiley, 1977.
10. Translated under the title Lineinyi regressionnyi analiz Moscow: Mir, 1980.
11. Gavrikov, M.B. and Pestryakova, N.V., The Methid of Polynomial Regression in Problems of Recognition of Printed and Hand-Printed Symbols, Preprint of Keldysh Fnst. of Appl. Math., Russ. Acad. Sci., Moscow, 2004, no. 22.
12. Arlazarov, V.L., Loginov, A.S., and Slavin, O.A., Characteristics of Programs of Optical Text Recognition, Programmer., 2002, no. 3, pp. 45-63.
13. Dubuisson, B. and Masson, M.A., Statistical Decision Rule with Incomplete Knowledge about Classes, Pattern Recognition, 1993, vol. 1, pp. 155-165.
14. Gorski, N., Optimizing Error-Reject Trade-off in Recognition Systems, Proc. 4th ICDAR, Ulm, 1997, pp.1092-1096.
15. Arlazarov, V.V., Postnikov, V.V., and Sholomov, D.L., Cognitive Forms - the System of Mass Introduction of Structurized Documents, Coll. Works of Inst. for Syst. Analysis, Russ. Acad. Sci. "Control of Information Flows," Moscow: Inst. Sist. Analiza, 2001, pp. 35-46.
16. Misyurev, A.V., Use of Artificial Neural Networks for Recognition of Hand-Printed Symbols, Coll. Works of Inst. for Syst. Analysis, Russ. Acad. Sci. "Intellectual Technologies of Information Input and Processing," Moscow: Inst. Sist. Analiza, 1998, pp. 122-127.
17. Slavin, O.A., Korol'kov, G.V., arid Bolotin, P.V., Methods of Recognition of Rough Objects, Coll. Works of Inst. for Syst. Analysis, Russ. Acad. Sci. "Development of Paper-Free Technologies in Organizations," Moscow: Inst. Sist. Analiza, 1999, pp. 290-311.