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Face Recognition for Beginners - Towards Data Science
There are different methods for face recognition, which are as follows- ... models, pixels, textures, etc. The recognition function is usually a correlation or distance measure. 4.2.Statistical Approach:-In the Statistical approach, the patterns expressed as features. The recognition function in a discriminant function. ... In this a face ......
 Pattern Recognition (PR) Statistical PR
Sonka: Pattern Recognition Class 13 Training and Learning in PR Systems Maximum available (and useful) information should be employed in the designed PR system. Supervised learning approaches serve as an example. Training set H - a pair of a pattern & class info. In Synt PR we also need a set of counter-examples.
A Statistical Learning/Pattern Recognition Glossary
A Statistical Learning/Pattern Recognition Glossary by Thomas Minka Welcome to my glossary. It is inspired by Brian Ripley's glossary in "Pattern Recognition for Neural Networks"(and the need to save time explaining things). Other links of interest: Pattern Recognition Informationincluding books, a list of review papers, and bibliographic search.
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