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Yu, Jun

Modern Machine Learning Techniques and Their Applications in Cartoon Animation Research

Yu, Jun - Modern Machine Learning Techniques and Their Applications in Cartoon Animation Research, ebook

90,00€

Ebook, PDF with Adobe DRM
ISBN: 9781118559987
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The integration of machine learning techniques and cartoon animation research is fast becoming a hot topic. This book helps readers learn the latest machine learning techniques, including patch alignment framework; spectral clustering, graph cuts, and convex relaxation; ensemble manifold learning; multiple kernel learning; multiview subspace learning; and multiview distance metric learning. It then presents the applications of these modern machine learning techniques in cartoon animation research. With these techniques, users can efficiently utilize the cartoon materials to generate animations in areas such as virtual reality, video games, animation films, and sport simulations.

Keywords: Pattern Analysis, patch alignment framework, spectral clustering, graph cuts, convex relaxation, ensemble manifold learning, multiple kernel learning, multiview subspace learning, multiview distance metric learning, cartoon animation techniques, virtual reality, video game animation, animated films

Author(s)
 
Publisher
John Wiley and Sons, Inc.
Publication year
2013
Language
en
Edition
1
Series
IEEE Press Series on Systems Science and Engineering
Page amount
208 pages
Category
Information Technology, Telecommunications
Format
Ebook
eISBN (PDF)
9781118559987
Printed ISBN
9781118115145

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