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Modern Machine Learning Techniques and Their Applications in Cartoon Animation Research
Yu, Jun; Tao, Dacheng
€ 114.10
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Description for 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. Series: IEEE Press Series on Systems Science and Engineering. Num Pages: 208 pages, colour illustrations,strationsstrations. BIC Classification: UGN; UYQM. Category: (P) Professional & Vocational. Dimension: 237 x 163 x 14. Weight in Grams: 464.
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
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
Product Details
Publication date
2013
Publisher
John Wiley & Sons Inc United States
Number of pages
208
Condition
New
Series
IEEE Press Series on Systems Science and Engineering
Number of Pages
208
Format
Hardback
Place of Publication
, United States
ISBN
9781118115145
SKU
V9781118115145
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Yu, Jun; Tao, Dacheng
JUN YU, PhD, is an Associate Professor in the Computer Science Department, School of Information Science and Engineering, Xiamen University, Xiamen, China. His current research interests include computer graphics, computer visions, and machine learning. He has authored or coauthored more than thirty scientific articles in journals including IEEE T-IP, IEEE TSMC-B, and Pattern Recognition. DACHENG TAO, PhD, is ... Read more
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