Abstract
In the previous Chapters the shape classes, the 3D object classes and the picture classes, that are part of the hierarchical categorical structure of learned knowledge needed during solving the perceptual problems, were introduced.
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de Wit CJ, van Lier RJ (2002) Global visual completion of quasi-regular shapes. Perception 31:969–984
Les Z, Les M (2018) Machine understanding-completion and transparency mechanism of the perceptual interpretation. Int J Underst 8:1–81
Les Z, Les M (2008) Shape understanding system. The first steps toward the visual thinking machines. Studies in Computational Intelligence. Springer, Berlin
Les Z, Les M (2013) Shape understanding system—knowledge implementation and learning. Studies in Computational Intelligence. Springer, Berlin
Les Z, Les M (2015) Shape understanding system—machine understanding and human understanding. Studies in Computational Intelligence. Springer, Berlin
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Les, Z., Les, M. (2020). Machine Perception MU—Problem Solving. In: Machine Understanding. Studies in Computational Intelligence, vol 842. Springer, Cham. https://doi.org/10.1007/978-3-030-24070-7_8
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DOI: https://doi.org/10.1007/978-3-030-24070-7_8
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