Supervised distance metric learning for pattern recognition Ghent University
Much like in other modeling disciplines does the distance metric used (a measure for dissimilarity) play an important role in the growing field of machine learning. Often, predefined distance metrics (e.g. the Euclidean one) are used to perform such measurement. Unfortunately, most of them ignore any statistical properties that might be estimated from the data. The notion of a good distance metric changes when one moves from one domain to ...