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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