Probability trees (or Probability Estimation Trees, PET’s) are decision trees with probability distributions in the leaves. Several alternative approaches for learning probabilit...
Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice...
It has been postulated that existing species have been linked in the past in a way that can be described using an additive tree structure. Any such tree structure reflecting speci...
We present a method to classify and localize human actions in video using a Hough transform voting framework. Random trees are trained to learn a mapping between densely-sampled f...
We present a system for estimating location and orientation of a person’s head, from depth data acquired by a low quality device. Our approach is based on discriminative random r...
We describe an algorithm for comparing two RNA secondary structures coded in the form of trees that introduces two novel operations, called node fusion and edge fusion, besides the...