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Local and Recognizable Iso Picture Languages

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Book cover Neural Information Processing (ICONIP 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3316))

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Abstract

In the context of a syntactic approach to pattern recognition, there have been several studies in the last few decades on theoretical models for generating or recognizing two-dimensional objects, pictures and picture languages. Motivated by these studies we introduce a new notion of recognizability for a class of picture languages called iso picture languages. We first introduce a notion of local iso picture language and then define a recognizable iso picture language as a projection of a local iso picture language. We prove certain closure properties of this family of languages. We present a learning algorithm LOC for local iso picture languages.

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References

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Author information

Authors and Affiliations

  1. Department of Mathematics, St. Joseph’s College of Engineering, Chennai, 119, India

    T. Kalyani

  2. Department of Mathematics, Madras Christian College, Tambaram, Chennai, 59, India

    V. R. Dare & D. G. Thomas

Authors
  1. T. Kalyani
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  2. V. R. Dare
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  3. D. G. Thomas
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Editor information

Editors and Affiliations

  1. Indian Statistical Institute, Electronics and Communication Sciences Unit, Kolkata, India

    Nikhil Ranjan Pal

  2. School of Computer and Information Sciences, Knowledge Engineering and Discovery Research Institute (KEDRI), Auckland University of Technology, Private Bag 92006, Auckland, New Zealand

    Nik Kasabov

  3. Department of Instrumentation and Electronics Engineering, Jadavpur University, Salt-lake Campus, 700098, Calcutta, India

    Rajani K. Mudi

  4. Indian Statistical Institute, 203 B. T. Road, 700 108, Calcutta,  

    Srimanta Pal

  5. Indian Statistical Institute, Computer Vision and Pattern Recognition Unit, 700108, Kolkata, India

    Swapan Kumar Parui

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© 2004 Springer-Verlag Berlin Heidelberg

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Kalyani, T., Dare, V.R., Thomas, D.G. (2004). Local and Recognizable Iso Picture Languages. In: Pal, N.R., Kasabov, N., Mudi, R.K., Pal, S., Parui, S.K. (eds) Neural Information Processing. ICONIP 2004. Lecture Notes in Computer Science, vol 3316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30499-9_113

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  • DOI: https://doi.org/10.1007/978-3-540-30499-9_113

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23931-4

  • Online ISBN: 978-3-540-30499-9

  • eBook Packages: Springer Book Archive

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