Machine Learning and Visual Perception

✍ Scribed by Baochang Zhang; Tsinghua University Press

Publisher: De Gruyter
Year: 2020
Tongue: English
Leaves: 152
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

A systematic presentation of machine learning and visual perception, covering both classical and recent results.
Includes extensive examples to facilitate understanding.
Presents the advanced theories in an easy-to-understand way.

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