Machine learning and visual perception
Author(s)
Bibliographic Information
Machine learning and visual perception
（De Gruyter Stem）
De Gruyter , Tsinghua University Press, c2020
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Note
Includes bibliographical references (p. [141]-142) and index
Description and Table of Contents
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.
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