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Shape Understanding Method

  • Zbigniew Les
  • Magdalena Les
Part of the Studies in Computational Intelligence book series (SCI, volume 425)

Abstract

In Chapter 3, the knowledge implementation is defined in the context of both human learning and machine learning. The term the knowledge implementation introduced in this book is refering to learning of the knowledge and skills by the machine, the shape understanding system (SUS). It is concerned with two main aspects of human learning: learning of visual knowledge in the context of the categorical structure of the learned categories of the visual objects and learning of the knowledge that is connected with understanding of the content of the text. The knowledge implementation is part of the shape understanding method, developed by authors [1] that stresses the importance of the knowledge acquisition in understanding and thinking processes. In this Chapter some aspects of the shape understanding method, that allow for better understanding of the knowledge implementation approach, are presented.

Keywords

Visual Object Text Category Optical Character Recognition Ontological Category Visual Knowledge 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.The Queen Jadwiga Research Institute of UnderstandingToorakAustralia
  2. 2.Queen Jadwiga Research Institute of UnderstandingToorakAustralia

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