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Pattern recognition - Wikipedia, the free encyclopedia
Pattern recognition is "the act of taking in raw data and taking an action based on the category of the data".[citation needed] Most research in pattern recognition is about methods for supervised learning and unsupervised learning.
Pattern recognition aims to classify data (patterns) based either on a priori knowledge or on statistical information extracted from the patterns. The patterns to be classified are usually groups of measurements or observations, defining points in an appropriate multidimensional space. This is in contrast to pattern matching, where the pattern is rigidly specified.
YouTube - Pathogen Recognition in a Macrophage Cell
Pathogen Recognition in a Macrophage Cell
Gracenote
Gracenote is a technology company founded in 1995 as CDDB, Inc. Since its inception its products and services have grown from a compact disc database to a full-featured Music Recognition Service and content delivery engine.CDDB, Inc. changed its compa
Facial Recognition Comes to Facebook
The Facebook gets creepier and creepier - for what and how it entices people to share, for how it finagles and then cements an incomplete and inaccurate identity out of miscellaneous, past and irrelevant data, and for the seeming-innocuousness of it all. After much deliberation I brand FB: NOT good.
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