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; 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