Non-Euclidean Problems in Pattern Recognition Related to Human Expert Knowledge

Regularities in the world are human defined. Patterns in the observed phenomena are there because we define and recognize them as such. Automatic pattern recognition tries to bridge human judgment with measurements made by artificial sensors. This is done in two steps: representation and generalization.

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