Skip to main content

Control

  • Chapter
  • 153 Accesses

Part of the book series: Springer Series in Information Sciences ((SSINF,volume 4))

Abstract

Having discussed a variety of methods for preprocessing, extraction of simple constituents, and classification we proceeded with considering some details of representation and manipulation of data, in particular data which are results of the aforementioned steps of processing. Now we turn to a discussion of some general principles for the choice of processing methods and the order of their application to subsets of competing intermediate results; specification of these steps is referred to as control A distinct control module is introduced into a pattern analysis system in order to allow a flexible system structure as indicated in Sect. 1.4. It became apparent that in analysis of (complex) patterns a module should be at hand which makes the best possible use of available processing methods for every pattern f r(x) ε Ω. One sequence of methods or processing steps, which is suited for a particular pattern f r(x), need not be optimal for another pattern f s(x). The control module should be able to find this optimal sequence, or at least a fairly good sequence of processing steps depending on the pattern offered to the system.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. N.J. Nilsson: Problem Solving Methods in Arificial Intelligence (McGraw-Hill, New York 1971)

    Google Scholar 

  2. H. Niemann: Control Strategies in Image and Speech Understanding. Proc. GWAI, Informatik Fachberichte, Vol.76 (Springer, Berlin, Heidelberg 1983) pp.31–49

    Google Scholar 

  3. H. Niemann, H. Bunke: Künstliche Intelligenz in Bild- und Sprachanalyse (Teubner, Stuttgart 1987)

    Book  Google Scholar 

  4. V.R. Lesser, R.D. Fennell, R.D. Erman, D.R. Reddy: Organisation of the HEARSAY II speech understanding system. IEEE Trans. ASSP-23, 11 (1975)

    Google Scholar 

  5. B.T. Lowerre: The Harpy Speech Recognition System. PhD Thesis, Dept. Comput. Sei., Carnegie-Mellon Univ., Pittsburgh, PA (1976)

    Google Scholar 

  6. C.A. Harlow: Image analysis and graphs. Comp. Graphics and Image Processing 2, 60 (1973)

    Article  Google Scholar 

  7. Z. Manna: Mathematical Theory oj Computation (McGraw Hill, New York 1974)

    Google Scholar 

  8. T.W. Pratt: Hierarchical graph model of the semantics of programs. Proc. AFIPS, Summer Joint Conf. (1969) pp.813–825

    Google Scholar 

  9. C.A. Petri: Communication with automata. Suppl.1, Tech. Rep. RAD C-TR-65-337, Vol.1, Griffis Air Force Base, New York (1966) [transi, from Kommunikation mit Automaten, Univ. Bonn, Germany 1962]

    Google Scholar 

  10. A.C. Shaw: Parsing of graph-representable pictures. J. Assoc. Comput. Mach. 17, 453 (1970)

    Article  MATH  Google Scholar 

  11. C. Hewitt: Viewing control structures as patterns of passing messages. Artif. Intell. 8, 323 (1977)

    Article  Google Scholar 

  12. M. Georgeff: A framework for control in production systems. Rpt. No. STAN-CS-79-716, Comp. Science Dept., Stanford Univ. (1979)

    Google Scholar 

  13. H. Prade: A computational approach to approximate and plausible reasoning with applications to expert systems. IEEE Trans. PAMI-7, 260 (1985)

    Google Scholar 

  14. L.A. Zadeh: Fuzzy logic. Computer 21, No.4, 83 (1988)

    Article  Google Scholar 

  15. R. De Mori, L. Saitta: Automatic learning of fuzzy naming relations over finite languages. Information Sci. 20, 93 (1980)

    Article  Google Scholar 

  16. R. De Mori: Computer Models of Speech Using Fuzzy Algorithms (Plenum, New York 1983)

    Book  Google Scholar 

  17. N.J. Nilsson: Principles of Artificial Intelligence (Springer, Berlihn, Heidelberg 1982)

    MATH  Google Scholar 

  18. R. Bellman, S. Dreyfus: Applied Dynamic Programming (Princeton, Univ. Press, Princeton 1962)

    MATH  Google Scholar 

  19. Y. Ohta, T. Kanade, T. Sakai: An analysis system for scenes containing objects with substructures. Proc. 4th Int. Joint Conf. on Pattern Recognition, Kyoto (1978) pp.752–754

    Google Scholar 

  20. M. Nagao, T. Matsuyama: A Structural Analysis of Complex Aerial Photographs (Plenum, New York 1980)

    Book  Google Scholar 

  21. M. Yachida, S. Tsuji: A versatile machine vision system for complex industrial parts. IEEE Trans. C-26, 882–894 (1977)

    Google Scholar 

  22. H. Nieman, H. Bunke, I. Hofmann, G. Sagerer, F. Wolf, H. Feistel: A knowledge based system for analysis of gated blood pool studies. IEEE Trans. PAMI-7 246–259 (1985)

    Google Scholar 

  23. S. Rubin: The ARGOS image understanding system. Tech. Rpt. (Dept. Comput. Sci., Carnegie-Mellon Univ., Pittsburgh, PA (1978)

    Google Scholar 

  24. W. Woods, M. Bates, G. Brown, B. Bruce, C. Cook, J. Klovstad, J. Makhoul, B. Nash-Webber, R. Schwartz, J. Wolf, V. Zue: Speech understanding systems, Vol.1, Introduction and Overview, Final Report, Bolt Beranek and Newman Inc., Cambridge, MA (1976)

    Google Scholar 

  25. W.A. Woods: Optimal search strategies for speech understanding control. Artif. Intelligence 18, 295 (1982)

    Article  Google Scholar 

  26. W.H. Paxton: Experiments in speech understanding system control. Tech. Note 134, Artif. Intell. Center, Stanford Res. Inst., Menlo Park, CA (1976)

    Google Scholar 

  27. G. Sagerer, F. Kümmert: Knowledge based systems for speech understanding. In [Ref.3.178, pp.421–458]

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 1990 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Niemann, H. (1990). Control. In: Pattern Analysis and Understanding. Springer Series in Information Sciences, vol 4. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-74899-8_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-74899-8_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-51378-0

  • Online ISBN: 978-3-642-74899-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics