Machine Learning and Visual Perception / / Baochang Zhang.

• Superior document: Title is part of eBook package: De Gruyter DG Ebook Package English 2020
• VerfasserIn: Zhang, Baochang,
• MitwirkendeR: Tsinghua University Press,
• Place / Publishing House: Berlin ;, Boston : : De Gruyter, , [2020]; ©2020
• Year of Publication: 2020
• Language: English
• Series: De Gruyter Textbook
• Physical Description: 1 online resource (X, 142 p.)
• Other title: Frontmatter --; Contents --; Introduction --; 1. Introduction of machine learning --; 2. PAC Model --; 3. Decision tree learning --; 4. Bayesian learning --; 5. Support vector machines --; 6. AdaBoost --; 7. Compressed sensing --; 8. Subspace learning --; 9. Deep learning and neural networks --; 10. Reinforcement learning --; Bibliography --; Index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9783110595567; 9783110696288; 9783110696271; 9783110659061; 9783110616859; 9783110704716; 9783110704518; 9783110704815; 9783110704617
• DOI: 10.1515/9783110595567
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: Baochang Zhang.

The book provides an up-to-date on machine learning and visual perception, including decision tree, Bayesian learning, support vector machine, AdaBoost, object detection, compressive sensing, deep learning, and reinforcement learning. Both classic and novel algorithms are introduced. With abundant practical examples, it is an essential reference to students, lecturers, professionals, and any interested lay readers.