The field of computational learning theory arose out of the desire to for mally understand the process of learning. Scholars in both fields came together to learn about each others' field and to look for common ground, with the ultimate goal of providing a new model of learning from geometrical examples that would be useful in computer vision.
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Incorporates learning techniques into the geometric manipulation of sensor data and so into the general problem of pattern recognition that must be overcome to further computer vision. Three paper by researchers in learning and five by researchers in geometry discuss such aspects as minimum description length learning, combinatorics in geometry, an
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