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Cookie akzeptierenSyntactic and Structural Pattern Recognition
- Springer Berlin Heidelberg
- 2011
- Taschenbuch
- 492 Seiten
- ISBN 9783642834646
Thirty years ago pattern recognition was dominated by the learning machine concept: that one could automate the process of going from the raw data to a classifier. The derivation of numerical features from the input image was not considered an important step. One could present all possible features to a program which in turn could find which ones would be useful for pattern recognition. In spite of significant improvements in statistical inference techniques, progress was slow. It became clear that feature derivation was a very complex process that could not be automated and that features could be symbolic as well as numerical. Furthennore the spatial relationship
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