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Algorithmic Advances in Riemannian Geometry and Applications

Overview of attention for book
Attention for Chapter 3: Geometric Optimization in Machine Learning
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Citations

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Readers on

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21 Mendeley
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Chapter title
Geometric Optimization in Machine Learning
Chapter number 3
Book title
Algorithmic Advances in Riemannian Geometry and Applications
Published by
Springer International Publishing, October 2016
DOI 10.1007/978-3-319-45026-1_3
Book ISBNs
978-3-31-945025-4, 978-3-31-945026-1
Authors

Suvrit Sra, Reshad Hosseini

Editors

Hà Quang Minh, Vittorio Murino

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 5%
Switzerland 1 5%
Unknown 19 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 43%
Professor 3 14%
Researcher 3 14%
Student > Master 3 14%
Other 2 10%
Other 0 0%
Unknown 1 5%
Readers by discipline Count As %
Mathematics 8 38%
Engineering 5 24%
Computer Science 3 14%
Chemistry 1 5%
Design 1 5%
Other 0 0%
Unknown 3 14%