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Lecture
Decision Forests: Structure and Training
Description
This lecture covers the fundamentals of decision forests, focusing on decision trees, training processes, weak learners, entropy, information gain, and the transition from trees to forests. It also discusses boosting, 3D pose estimation, body part recognition, and the practical applications of decision forests.
Official source
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