| 书目名称 | Geometric Algebra Applications Vol. I | | 副标题 | Computer Vision, Gra | | 编辑 | Eduardo Bayro-Corrochano | | 视频video | | | 概述 | Offers in a compact and complete way the theory and methods to apply Geometric Algebra in computer vision, graphics and machine learning.Introduces the basics of geometric algebra to specialists and n | | 图书封面 |  | | 描述 | The goal of the Volume I Geometric Algebra for Computer Vision, Graphics and Neural Computing is to present a unified mathematical treatment of diverse problems in the general domain of artificial intelligence and associated fields using Clifford, or geometric, algebra..Geometric algebra provides a rich and general mathematical framework for Geometric Cybernetics in order to develop solutions, concepts and computer algorithms without losing geometric insight of the problem in question. Current mathematical subjects can be treated in an unified manner without abandoning the mathematical system of geometric algebra for instance: multilinear algebra, projective and affine geometry, calculus on manifolds, Riemann geometry, the representation of Lie algebras and Lie groups using bivector algebras and conformal geometry...By treating a wide spectrum of problems in a common language, this Volume I offers both new insights and new solutions that should be useful to scientists, and engineers working in different areas related with the development and building of intelligent machines. Each chapter is written in accessible terms accompanied by numerous examples, figures and a complementary a | | 出版日期 | Book 2019 | | 关键词 | Computer Vision; Geometric Algebra; Geometric Neural Computing; Graphics; Machine Learning; complexity | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-74830-6 | | isbn_softcover | 978-3-030-09085-2 | | isbn_ebook | 978-3-319-74830-6 | | copyright | Springer International Publishing AG, part of Springer Nature 2019 |
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发表于 2025-3-21 16:19:27
