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Bibliografia

33.    Janssens D., Rozenberg G., Verraedt R. On sequential and paralie! node-rewriting graph grammars, Comp. Graph. Image Processing 1983, nr 18.

34.    Brandenburg F.J. On the complexity of the membership problem of graph grammars, Proc. of the WG’83, International Workshop on Graph-theoretic Concepts in Computer Science, June 16-18 1983, Osna-briick, FRG, Trauner Verlag 1983.

35.    Shi Q.Y., Fu K.S. Parsing and łranslałion of (attributed) expansive graph languages for scene analysis, IEEE Trans. Patt. Anal. Mach. Intell. 1983, vol. PAMI-5, nr 5.

36.    Flasiński M. Characteristics of edNLC - graph grammar for syntactic pattern recognition, Comp. Vision, Graph. Image Processing 1989, nr 42.

37.    Flasiński M. Parsing of edNLC - graph grammar for scene analysis, Patt. Recognition 1988, vol. 21, nr 6.

38.    James M. Classińcation Algorithms. New York: John Wiley 1985.

39.    Fukunaga K. Introduction to Statistical Pattern Recognition. New York: Academic Press 1972.

40.    Marek T., Noworol Cz. Analiza sekwencyjna w badaniach empirycznych. Warszawa: PWN 1987.

41.    Fu K.S. Sequential Methods in Pattern Recognition and Machinę Le-arning. New York: Academic Press 1968.

42.    Fu K.S. Digital Pattern Recognition. Berlin: Springer Verlag 1976.

43.    Sebestyen G.S. Decision in Pattern Recognition. New York: Macmillan 1962.

44.    Nilsson M.J. Learning Machines - Foundations of Trainable Pattern Classifying Systems. New York: McGraw-Hill 1965.

45.    Mendel J.M., Fu K.S. Adaptive, Learning and Pattern Recognition Systems - Theory and Applications. New York: Academic Press 1970.

46.    Meisel W. Computer Oriented Approaches to Pattern Recognition. New York: Academic Press 1972.

47.    Patrick E.A. Fundamentals of Pattern Recognition. Princeton: Pren-tice-Hall 1972.

48.    Andrews H.C. Introduction to Mathematical Techniques in Pattern Recognition. New York: Willey 1972.