Bob Duin's blog

Pattern Recognition is a Human Centered non-Euclidean Problem

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 has thereby to bridge the gap between human judgment and measurements made by artificial sensors.

A good, well performing pattern recognition system is adapted to what we experience as similar and as dissimilar. A natural way to design such a system is thereby based on the pair wise comparison of the objects for which patterns should be recognized. This results in the dissimilarity representation for pattern recognition.

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