Reducing the number of labeled examples required to learn accurate prediction models is an important problem in structured output prediction. In this paper we propose a new transd...
We address the problem of object-based visual attention from a Bayesian standpoint. We contend with the issue of joint segmentation and saliency computation suitable to provide a ...
The mobile Internet enables 24-hour always-on computing with increased demands on time-based analysis. From an assumption that the mobile users are split into three different clus...
Within the paper, a novel approach for the reconstruction of geometric details of building façades is presented. It is based on 3D point clouds from terrestrial laser scanning. B...
A laser range-finder-based system for detecting interactions between people in indoor environments is presented. An entropy-based measure is used to recursively segment tracks of...
Anand Panangadan, Maja J. Mataric, Gaurav S. Sukha...