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Cognitive Techniques in Visual Data Interpretation

  • Book
  • © 2009

Overview

Authors:
  1. Lidia Ogiela

    1. Faculty of Management, AGH University of Science and Technology , Krakow, Poland

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  2. Marek R. Ogiela

    1. Institute of Automatics, AGH University of Science & Technology , Kraków, Poland

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    You can also search for this author in PubMed   Google Scholar

  • presents an overview about cognitive techniques in visual data interpretation

Part of the book series: Studies in Computational Intelligence (SCI, volume 228)

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Table of contents (8 chapters)

  1. Front Matter

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  2. Introduction

    • Lidia Ogiela, Marek R. Ogiela
    Pages 1-6

  3. Traditional pattern recognition technigues and latest image interpretation approaches

    • Lidia Ogiela, Marek R. Ogiela
    Pages 7-27

  4. Cognitive aspects performed in the human mind

    • Lidia Ogiela, Marek R. Ogiela
    Pages 29-39

  5. The fundamentals and development of Cognitive Informatics

    • Lidia Ogiela, Marek R. Ogiela
    Pages 41-61

  6. Cognitive information systems

    • Lidia Ogiela, Marek R. Ogiela
    Pages 63-74

  7. Understanding-based image analysis systems

    • Lidia Ogiela, Marek R. Ogiela
    Pages 75-78

  8. UBIAS systems in cognitive interpretation of medical visualization

    • Lidia Ogiela, Marek R. Ogiela
    Pages 79-101

  9. Summary

    • Lidia Ogiela, Marek R. Ogiela
    Pages 103-105

  10. Back Matter

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Keywords

About this book

The extremely rapid progress of science dealing with the design of new computer systems and the development of intelligent algorithmic solutions for solving c- plex problems has become apparent also in the field of computational intelligence and cognitive informatics methods. The progress of these new branches of inf- matics has only started a few years ago, but they are already making a very s- nificant contribution to the development of modern technologies, and also forming the foundations for future research on building an artificial brain and systems i- tating human thought processes. We are already able to build robots with basic machine intelligence, which can sometimes perform complex actions and also - erate by adapting to changing conditions of their surroundings. This very impr- sive development of intelligent systems is manifested in the creation of robotic devices which use artificial intelligence algorithms in their operations, mo- ments, when solving difficult problems or communicating with humans. It is also evidenced by the introduction of new methods of reasoning about and interpreting objects or events surrounding the system. One of the fields in which the need to deploy such modern solutions is obvious are cognitive vision systems used both in mobile robots and in computer systems which recognise or interpret the meaning of recorded signals or patterns.

Authors and Affiliations

  • Faculty of Management, AGH University of Science and Technology , Krakow, Poland

    Lidia Ogiela

  • Institute of Automatics, AGH University of Science & Technology , Kraków, Poland

    Marek R. Ogiela

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