Algorithmic Advances in Riemannian Geometry and Applications
For Machine Learning, Computer Vision, Statistics, and Optimization
Autor:
Springer International Publishing;Springer Nature Switzerland
Verlag:
Springer International Publishing;Springer Nature Switzerland
Sprache:
English
“The book under review consists of eight chapters, each introducing techniques for solving problems on manifolds and illustrating these with examples. … reading this book would add to my collection of tools for working with data on manifolds and expose me to new problems treatable by these tools. … In each case an effort has been made to provide enough of the underlying theory supporting the techniques, with explicit references where the interested reader can go for further details.” (Tim Zajic, IAPR Newsletter, Vol. 39 (3), July, 2017)
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Untertitel
For Machine Learning, Computer Vision, Statistics, and Optimization
ISBN
978-3-319-45025-4
EAN
9783319450254
Erscheinungsjahr
10/21/2016
Edition
16001 A. 1st edition 2016
Verlag
Springer International Publishing;Springer Nature Switzerland
Sprache
English
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