Machine Learning and Visual Perception

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

Product details

• Authors: Ce Li, Nana Lin, Baochang Zhang
• Assisted by: Tsinghua University Press (Editor)
• Publisher: De Gruyter
• Languages: English
• Product format: Paperback / Softback
• Released: 24.08.2020
• EAN: 9783110595536
• ISBN: 978-3-11-059553-6
• No. of pages: 142
• Dimensions: 174 mm x 10 mm x 243 mm
• Weight: 276 g
• Illustrations: 57 b/w ill., 9 b/w tbl.
• Series: De Gruyter STEM
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > IT