Machine Learning and Visual Perception
1st Edition
Published on 6. July 2020
X, 142 pages
978-3-11-059556-7 (ISBN)
Description
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.
More details
Other editions
Additional editions
Baochang Zhang
Machine Learning and Visual Perception
E-Book
07/2020
1st Edition
De Gruyter
€74.95
Available for download
Baochang Zhang | Ce Li | Nana Lin
Machine Learning and Visual Perception
Book
04/2020
1st Edition
De Gruyter
€74.95
Shipment within 7-9 days
Persons
Content
- Intro
- 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
