Machine Learning and Visual Perception

Baochang Zhang, Ce Li, Nana Lin

ISBN 10: 3110595532 / ISBN 13: 9783110595536

Published by De Gruyter, DE, 2020

About this Item

Machine Learning and Visual Perception provides an up-to-date overview on the topic, including the PAC model, decision tree, Bayesian learning, support vector machines, AdaBoost, compressive sensing and so on.Both classic and novel algorithms are introduced in classifier design, face recognition, deep learning, time series recognition, image classification, and object detection.

Seller Inventory # LU-9783110595536

Bibliographic Details

• Title: Machine Learning and Visual Perception
• Publisher: De Gruyter, DE
• Publication Date: 2020
• Language: English
• ISBN 10: 3110595532
• ISBN 13: 9783110595536
• Binding: Paperback
• Condition: New
• Weight: 270 grams

About this title

Synopsis

Machine Learning and Visual Perception provides an up-to-date overview on the topic, including the PAC model, decision tree, Bayesian learning, support vector machines, AdaBoost, compressive sensing and so on.Both classic and novel algorithms are introduced in classifier design, face recognition, deep learning, time series recognition, image classification, and object detection.

About the Author

Baochang Zhang, Beihang University, Beijing, China