Modern Machine Learning Techniques And Their Applications In Cartoon Animation Research (ieee Press Series On Systems Science And Engineering)
by Dacheng Tao /
2013 / English / PDF
7.4 MB Download
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
