Browsing Faculty of Engineering by Subject "Decision tree"
Now showing items 1-2 of 2
-
A CART-based genetic algorithm for constructing higher accuracy decision trees
(SciTePress, 2020)Decision trees are among the most popular classification methods due to ease of implementation and simple interpretation. In traditional methods like CART (classification and regression tree), ID4, C4.5; trees are constructed ... -
Hierarchically constrained 3D hand pose estimation using regression forests from single frame depth data
(Elsevier, 2014-12-01)The emergence of inexpensive 2.5D depth cameras has enabled the extraction of the articulated human body pose. However, human hand skeleton extraction still stays as a challenging problem since the hand contains as many ...
Share this page