Machine Learning and Visual Perception Front Cover

Machine Learning and Visual Perception

  • Length: 152 pages
  • Edition: 1
  • Publisher:
  • Publication Date: 2020-05-05
  • ISBN-10: 3110595532
  • ISBN-13: 9783110595536
Description

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.

To access the link, solve the captcha.