If the relations between the objects to be recognized are non-metric, there seems to be something wrong. However, Walter Scheirer and his co-authors claim in the August issue of Pattern Recognition that “Good recognition is non-metric“, [1]: Is this statement true or false? See also one of the webpages of Walter Scheirer. Readers of this…

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## Good recognition is non-metric: true or false?

Tuesday, June 17th, 2014 at
20:59

## Non-Euclidean embedding

Monday, January 21st, 2013 at
00:00

Non-Euclidean dissimilarities may arise naturally when we want to build a measure that incorporates important knowledge about the objects. This is fine, but how to embed such dissimilarities in a vector space if we want to use the standard linear algebra tools for generalization? Here the so-called pseudo-Euclidean vector space will be discussed. To understand…

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