Archive for 'generalization'

Statistical pattern recognition

Statistical pattern recognition refers to the use of statistics to learn from examples. It means to collect observations, study and digest them in order to infer general rules or concepts that can be applied to new, unseen observations. How should this be done in an automatic way? What tools are needed? Previous discussions on prior…

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Plato and Aristotle

It is an exaggeration to say that Plato and Aristotle are recognized as the founding fathers of pattern recognition. There are hardly references to them in the text books and review papers. Nevertheless, it is my strong opinion that understanding the basis of their philosophical discussion is a big help in understanding the scientific basis…

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Four approaches to pattern recognition

This post is an excerpt from R.P.W. Duin and E. Pekalska, The Science of Pattern Recognition; Achievements and Perspectives, in: W. Duch, J. Mandziuk (eds.), Challenges for Computational Intelligence, Studies in Computational Intelligence, vol. 63, Springer, 2007, 221-259. In science, new knowledge is phrased in terms of existing knowledge. The starting point of this process…

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What is pattern recognition?

For a very small child a walk into the world is a walk into the wild: all is new and exciting. Every object, every sound, every shape provides a new experience. Consequently, he doesn’t know how to interpret what is happening. He doesn’t know how to hold an item or how to walk. That is…

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