Algorithmic advances in Riemannian geometry and applications for machine learning, computer vision, statistics, and optimization /
This book presents a selection of the most recent algorithmic advances in Riemannian geometry in the context of machine learning, statistics, optimization, computer vision, and related fields. The unifying theme of the different chapters in the book is the exploitation of the geometry of data using...
| Other Authors: | Minh, Hà Quang,, Murino, Vittorio,, SpringerLink (Online service) |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
[2016]
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| Physical Description: |
1 online resource : illustrations. |
| Series: |
Advances in computer vision and pattern recognition.
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| Subjects: |
CMU Electronic Access
Electronic Resource Click Here| Location | Call Number: | Status |
|---|---|---|
| CMU Electronic Access | Available |