Modern Machine Learning Techniques and Their Applications in Cartoon Animation Research e-bog
802,25 DKK
(inkl. moms 1002,81 DKK)
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 ...
E-bog
802,25 DKK
Forlag
Wiley-IEEE Press
Udgivet
27 marts 2013
Genrer
Electronics and communications engineering
Sprog
English
Format
pdf
Beskyttelse
LCP
ISBN
9781118559987
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