Machine Learning and Visual Perception PDF
02020·5.646 MB·English
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Description:
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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Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.
