We consider pixel labeling problems where the label set
forms a tree, and where the observations are also labels.
Such problems arise in feature-space analysis with a very
large...
Pedro Felzenszwalb, Gyula Pap, Eva Tardos, Ramin Z...
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
In this paper we address the problem of minimizing a large class of energy functions that occur in early vision. The major restriction is that the energy function's smoothnes...
Structured light systems use projected light to augment a scene with extra information. The goal of such systems is often the recovery of depth information based on 2D image(s) fr...