Modern machine learning techniques and their applications in cartoon animation research /
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; m...
Κύριος συγγραφέας: | |
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Άλλοι συγγραφείς: | |
Μορφή: | Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Hoboken, New Jersey :
John Wiley & Sons, Inc.,
[2013]
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Έκδοση: | First edition. |
Σειρά: | IEEE Press series on systems science and engineering.
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Περίληψη: | 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. |
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Περιγραφή τεκμηρίου: | "Systems, Man, & Cybernetics Society." Edition statement from running title area. |
Φυσική περιγραφή: | 1 online resource (xii, 196 pages) : illustrations (some color). |
Βιβλιογραφία: | Includes bibliographical references and index. |
ISBN: | 9781118559963 1118559967 9781118559987 1118559983 |
DOI: | 10.1002/9781118559963 |