An edition of Manifold learning theory and applications (2011)

Manifold learning theory and applications

by and

Manifold learning theory and applications
Yunqian Ma, Yun Fu, Yunqian Ma ...
Locate

My Reading Lists:

Create a new list

Notes
Notes

Check nearby libraries

Buy this book

Last edited by MARC Bot
December 15, 2022 | History
Edit
An edition of Manifold learning theory and applications (2011)

Manifold learning theory and applications

by and

This edition doesn't have a description yet. Can you add one?

Publish Date
Publisher
CRC, Taylor & Francis [distributor]
Language
English
Pages
290

Check nearby libraries

Buy this book

Subjects

Manifolds (Mathematics), Manifolds (mathematics), Variétés (Mathématiques), MATHEMATICS, Geometry, General, Maschinelles Lernen, Mannigfaltigkeit
Edition Availability
Cover of: Manifold Learning Theory and Applications
Manifold Learning Theory and Applications
2013, Taylor & Francis Group
in English
Cover of: Manifold learning theory and applications
Manifold learning theory and applications
2012, CRC, Taylor & Francis [distributor]
in English
Cover of: Manifold Learning Theory and Applications
Manifold Learning Theory and Applications
2011, Taylor & Francis Group
in English
Cover of: Manifold Learning Theory and Applications
Manifold Learning Theory and Applications
2011, Taylor & Francis Group
in English
Cover of: Manifold Learning Theory and Applications
Manifold Learning Theory and Applications
2011, Taylor & Francis Group
in English
Cover of: Manifold Learning Theory and Applications
Manifold Learning Theory and Applications
2011, Taylor & Francis Group
in English

Add another edition?

Book Details

Table of Contents

Spectral embedding methods for manifold learning -- Alan Julian Izenman
Robust Laplacian eigenmaps using global information -- Shounak Roychowdhury and Joydeep Ghosh
Density preserving maps -- Arkadas Ozakin, Nikolaos Vasiloglou II, Alexander Gray
Sample complexity in manifold learning -- Hariharan Narayanan
Manifold alignment -- Chang Wang, Peter Krafft, and Sridhar Mahadevan
Large-scale manifold learning -- Ameet Talwalkar, Sanjiv Kumar, Mehryar Mohri, Henry Rowley
Metric and heat kernel -- Wei Zeng, Jian Sun, Ren Guo, Feng Luo, and Xianfeng Gu
Discreet Ricci flow for surface and 3-manifold -- Xianfeng Gu, Wei Zeng, Feng Luo, and Shing-Tung Yau
2D and 3D objects morphing using manifold techniques -- Chafik Samir, Pierre-Antoine Absil, and Paul Van Dooren
Learning image manifolds from local features -- Ahmed Elgammal and Marwan Torki
Human motion analysis applications of manifold learning -- Ahmed Elgammal and Chan Su Lee.

Edition Notes

Includes bibliographical references and index.

Published in
Boca Raton, Fla, London

Classifications

Dewey Decimal Class
516.07
Library of Congress
QA613 .M32 2012, QA613, QA613 .M36 2012eb

The Physical Object

Pagination
xxiv, 290 p., [16] p. of plates :
Number of pages
290

Edition Identifiers

Open Library
OL25273652M
ISBN 10
1439871094
ISBN 13
9781439871096
LCCN
2011284970
OCLC/WorldCat
751753027, 880637741, 773205871

Work Identifiers

Work ID
OL16589294W

Source records

Library of Congress MARC record
Better World Books record
Library of Congress MARC record
Harvard University record
marc_columbia MARC record

Community Reviews (0)

No community reviews have been submitted for this work.

Lists

Loading indicator
Loading carousel
Loading indicator
Loading carousel

History

Download catalog record: RDF / JSON / OPDS | Wikipedia citation
December 15, 2022 Edited by MARC Bot import existing book
December 7, 2022 Edited by MARC Bot import existing book
October 13, 2020 Edited by ImportBot import existing book
September 25, 2020 Edited by MARC Bot import existing book
April 13, 2012 Created by LC Bot Imported from Library of Congress MARC record