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Structural Methods in Pattern Analysis

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Pattern Recognition Theory and Applications

Part of the book series: NATO ASI Series ((NATO ASI F,volume 30))

Abstract

This chapter summarizes some of the contemporary work in structural pattern analysis which uses explicit or implicit representations of structure. The two major areas described are formal relational approaches and syntactic/semantic approaches. The techniques are illustrated with examples from the literature.

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References

  1. Abramson, N., Information Theory and Coding, McGraw-Hill: New York, 1963.

    Google Scholar 

  2. American Heritage Dictionary of the English Language, Houghton Mifflin: Boston, MA, 1971.

    Google Scholar 

  3. Bunke, H., “Attributed graph grammars and their application to schematic diagram interpretation,” IEEE Trans. RAMI, vol. PAMI-4, no. 6, pp. 574–582, 1982.

    Google Scholar 

  4. Fu, K.S., “Picture syntax,” in Pictorial Information Systems, Springer-Verlag: New York, 1980.

    Google Scholar 

  5. Fu, K.S., Syntactic Pattern Recognition and Applications, Prentice-Hall: Engelwood Cliffs, NJ, 1982.

    MATH  Google Scholar 

  6. Fu, K.S. et. al., Reprinted papers in “Special Memorial Issue for Professor King-Sun Fu,” IEEE Trans. RAMI, vol. PAMI-8, no. 3, 1986.

    Google Scholar 

  7. Fukada, H. and Kamata, K., “Inference of automata from sample set of trees,” InVl. Jour. Comput. Info. Sci., vol. 13, no. 3, pp. 177–196, 1984.

    Article  Google Scholar 

  8. Gonzalez, R.C. and Thomason, M.G., Syntactic Pattern Recognition: An Introduction, Addison Wesley: Reading, MA, 1978.

    MATH  Google Scholar 

  9. Graph-Grammars and their Application to Computer Science, Lecture Notes in Comp. Sc., Springer-Verlag: New York, 1983.

    Google Scholar 

  10. Isenor, D.K. and Zaky, S.G., “Fingerprint identification using graph matching,” Jour. Pat. Recog., vol. 19, no. 2, pp. 113–122, 1986.

    Article  Google Scholar 

  11. Juang, B-H., and Rabiner, L.R., “A probabilistic distance measure for hidden Markov models,” AT & T Tech. Jour., vol. 64, no. 2, pp. 391–408, 1985.

    MathSciNet  Google Scholar 

  12. Kak, A.C., Boyer, K.L., Chen, C.H., Safranek, R.J., and Yang, H.S., “A knowledge-based robotic assembly cell,” IEEE Expert, vol. 1, no. 1, pp. 63–83, 1986.

    Article  Google Scholar 

  13. Kreowski, H.J., “A pumping lemma for context-free graph grammars,” in Graph-Grammars and their Application to Computer Science and Biology, Lecture Notes in Comp. Sc., Springer-Verlag: New York, 1979.

    Google Scholar 

  14. Levine, B., “Derivatives of tree sets with applications to grammatical inference,” IEEE Trans. PAMI, vol. PAMI-3, no. 3, pp. 285–293,1981.

    Google Scholar 

  15. Levinson, S.E., “Structural methods in automatic speech recognition,” Proc. of the IEEE, vol. 73, no. 11, pp. 1625–1650, 1985.

    Article  Google Scholar 

  16. McKeown, D.M., Harvey, W.A., Jr., and McDermott, J., “Rule-based interpretation of aerial imagery,” IEEE Transactions PAMI, vol. PAMI-7, no. 5, pp. 570–585, 1985.

    Article  Google Scholar 

  17. Merelli, D., Mussio, P. and Padula, M., “An approach to the definition, description, and extraction of structures in binary images,” Comp. Vision, Graphics, and Image Proc., vol. 31, pp. 19–49, 1985.

    Article  Google Scholar 

  18. Nagl, M., “A tutorial and bibliographical survey on graph grammars,” in Graph-Grammars and their Application to Computer Science and Biology, Lecture Notes in Comp. Sc., Springer-Verlag: New York, 1979.

    Google Scholar 

  19. Ohta, Y., and Kanada, T., “Stereo by intra- and inter-scanline search using dynamic programming,” Tech. Rept. CMU-CS-83–162, Carnegie-Mellon University, 1983.

    Google Scholar 

  20. Pavlidis, T., “Structural descriptions and graph grammars,” in Pictorial Information Systems, Springer-Verlag: New York, 1980.

    Google Scholar 

  21. Pavlidis, T., Structural Pattern Recognition, Springer-Verlag: New York, 1977. Pyster, A. and Buttleman, H.W., “Semantic-syntax-directed translation,” Inform. Contr., vol. 39, pp. 320–361, 1978.

    Google Scholar 

  22. Richetin, M. and Vernadat, F., “Efficient regular grammatical inference for pattern recognition,” Jour. Pat. Recog., vol. 17, no. 2, pp. 245–250, 1984. Sanfeliu, A. and Fu, K.S., “A distance measure between attributed relational graphs for pattern recognition,” IEEE Transactions SMC, vol. SMC-13, no. 3, pp. 353–362, 1983.

    Article  MathSciNet  MATH  Google Scholar 

  23. Shapiro, L.G., “A structural model of shape,” IEEE Trans. PAMI, vol. PAMI-2, no. 2, pp. 111–126, 1980.

    Google Scholar 

  24. Shapiro, L.G. and Haralick, R.M., “Organization of relational models for scene analysis,” IEEE Trans. PAMI, vol. PAMI-4, no. 6, pp. 595–602, 1982. Shapiro, L.G. and Haralick, R.M., “Structural descriptions and inexact matching,” IEEE Trans. PAMI, vol. PAMI-3, no. 5, pp. 504–519, 1981.

    Article  Google Scholar 

  25. Thomason, M.G. and Granum, E., “Dynamic programming inference of Markov networks from finite sets of sample strings,”IEEE Trans. PAMI, in press. Thomason, M.G., Granum, E., and Blake, R.E., “Experiments in dynamic programming inference of Markov networks with strings representing speech data,” to appear in Jour. Pat. Recog.

    Google Scholar 

  26. Tsai, W.H. and Fu, K.S., “Error-correcting isomorphisms of attributed relational graphs for pattern analysis,” IEEE Trans. SMC, vol. SMC-9, pp. 757–768, 1979. Tsai, W.H. and Yu, S.S., “Attributed string matching with merging for shape recognition,”IEEE Trans. PAMI, vol. PAMI-7, no. 4, pp. 453–462, 1985.

    Google Scholar 

  27. Vilnrotter, F. M., Nevatia, R., and Price, K.E., “Structural analysis of natural textures,” IEEE Trans. PAMI, vol. PAMI-8, no. 1, pp. 76–89, 1986.

    Google Scholar 

  28. Wong, A.K.C. and You, M., “Entropy and distance of random graphs with application to structural pattern recognition,” IEEE Trans. PAMI, vol. PAMI-7, no. 5, pp. 599–609, 1985.

    Article  Google Scholar 

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© 1987 Springer-Verlag Berlin Heidelberg

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Thomason, M.G. (1987). Structural Methods in Pattern Analysis. In: Devijver, P.A., Kittler, J. (eds) Pattern Recognition Theory and Applications. NATO ASI Series, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83069-3_25

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  • DOI: https://doi.org/10.1007/978-3-642-83069-3_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-83071-6

  • Online ISBN: 978-3-642-83069-3

  • eBook Packages: Springer Book Archive

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