In this paper we describe a method to learn parameters
which govern pedestrian motion by observing video
data. Our learning framework is based on variational
mode learning and a...
We propose a canonical model for object classes in aerial images. This model is motivated by the observation that geographic regions of interest are characterized by collections o...
Most Internet measurement studies utilize traceroute-collected path traces to build Internet maps. In this paper, we measure the impact of alias resolution problem on Internet topo...
Mehmet Hadi Gunes, Nicolas Sanchis Nielsen, Kamil ...
In this paper, we propose a forward spotting scheme that executes gesture segmentation and recognition simultaneously by detecting start point. By using competitive differential o...
This paper presents a computational self-organizing model of multi-modal information, inspired from cortical maps. It shows how the organization in a map can be influenced by the ...