Many motor skills in humanoid robotics can be learned using parametrized motor primitives as done in imitation learning. However, most interesting motor learning problems are high...
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
The segmentation problem appears in most medical imaging applications. Many research groups are pushing toward a whole body segmentation based on atlases. With a similar objective,...
We propose a novel registration framework to map the field-of-coverage of pan-tilt cameras to a GIS (Geographic Information System) planar coordinate system. The camera’s fiel...
Mobile phone data provides rich dynamic information on human activities in social network analysis. In this paper, we represent data from two different modalities as a graph and f...
Xiaowen Dong, Pascal Frossard, Pierre Vandergheyns...