Learning and Geometry: Computational Approaches / edited by David W. Kueker, Carl H. Smith
(Progress in Computer Science and Applied Logic ; 14)
| データ種別 | 電子ブック |
|---|---|
| 出版者 | Boston, MA : Birkhäuser Boston |
| 出版年 | 1996 |
| 本文言語 | 英語 |
| 大きさ | XIV, 212 p : online resource |
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| 内容注記 | Learning MDL Learning PAC Learning, Noise and Geometry A Review of Some Extensions to the PAC Learning Model Geometry Finite Point Sets and Oriented Matroids: Combinatorics in Geometry A Survey of Geometric Reasoning Using Algebraic Methods Synthetic versus Analytic Geometry for Computers Representing Geometric Configurations Geometry Theorem Proving in Euclidean, Decartesian, Hilbertian and Computerwise Fashion |
|---|---|
| 一般注記 | 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 |
| 著者標目 | Kueker, David W. editor Smith, Carl H. editor SpringerLink (Online service) |
| 件 名 | LCSH:Computer science LCSH:Computer science -- Mathematics 全ての件名で検索 LCSH:Education -- Data processing 全ての件名で検索 LCSH:Computer mathematics LCSH:Geometry LCSH:Mathematics -- Study and teaching 全ての件名で検索 FREE:Computer Science FREE:Math Applications in Computer Science FREE:Geometry FREE:Computers and Education FREE:Mathematics Education FREE:Computational Mathematics and Numerical Analysis FREE:Computer Science, general |
| 分 類 | DC23:004.0151 |
| 巻冊次 | ISBN:9781461240884 
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| ISBN | 9781461240884 |
| URL | http://dx.doi.org/10.1007/978-1-4612-4088-4 |
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