Learning and Geometry: Computational Approaches

Language: English

Published by Birkhäuser, Birkhäuser Sep 2011, 2011

1461286468 / 9781461286462

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This item is printed on demand - Print on Demand Titel. Neuware -The field of computational learning theory arose out of the desire to for mally understand the process of learning. As potential applications to artificial intelligence became apparent, the new field grew rapidly. The learning of geo metric objects became a natural area of study. The possibility of using learning techniques to compensate for unsolvability provided an attraction for individ uals with an immediate need to solve such difficult problems. Researchers at the Center for Night Vision were interested in solving the problem of interpreting data produced by a variety of sensors. Current vision techniques, which have a strong geometric component, can be used to extract features. However, these techniques fall short of useful recognition of the sensed objects. One potential solution is to incorporate learning techniques into the geometric manipulation of sensor data. As a first step toward realizing such a solution, the Systems Research Center at the University of Maryland, in conjunction with the Center for Night Vision, hosted a Workshop on Learning and Geometry in January of 1991. 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. The papers in the volume are a partial record of that meeting.Springer Nature c/o IBS, Benzstrasse 21, 48619 Heek 232 pp. Englisch.

Seller Inventory # 9781461286462

Title
Learning and Geometry: Computational Approaches
Author
David Kueker
Publisher
Birkhäuser, Birkhäuser Sep 2011
Publication year
2011
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1461286468
ISBN 13
9781461286462
Item weight
445 grams
Dimensions
254x178x13 mm

buchversandmimpf2000

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