Modern Machine Learning Techniques and Their Applications in Cartoon Animation Research by Jun Yu
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-
Path Planning of Cooperative Mobile Robots Using Discrete Event Models
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Decentralized Coverage Control Problems For Mobile Robotic Sensor and Actuator Networks
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Business and Scientific Workflows
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Contemporary Issues in Systems Science and Engineering
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Advances in Battery Manufacturing, Service, and Management Systems
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Automated Transit
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Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number
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E-CARGO and Role-Based Collaboration
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Sustainable Manufacturing Systems: An Energy Perspective
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Human-Robot Interaction Control Using Reinforcement Learning
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Supervisory Control and Scheduling of Resource Allocation Systems
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System Design and Control Integration for Advanced Manufacturing
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Reinforcement and Systemic Machine Learning for Decision Making
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Infrastructure Robotics
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Parallel Population and Parallel Human
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Energy Conservation in Residential, Commercial, and Industrial Facilities
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 Professor of Computer Science with the Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering & Information Technology, University of Technology, Sydney, Australia. His research applies statistics and mathematics to data analysis problems in computer vision, data mining, machine learning, multimedia, and video surveillance. He has authored more than 100 scientific articles.
| SKU | Unavailable |
| ISBN 13 | 9781118115145 |
| ISBN 10 | 1118115147 |
| Title | Modern Machine Learning Techniques and Their Applications in Cartoon Animation Research |
| Author | Jun Yu |
| Series | Ieee Press Series On Systems Science And Engineering |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Wiley-IEEE Press |
| Year published | 2013-04-26 |
| Number of pages | 208 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |