This work focuses on several optimization problems involved in recovery of sparse solutions of linear inverse problems. Such problems appear in many fields including image and sig...
Future progress in neuroscience hinges on reconstruction of neuronal circuits to the level of individual synapses. Because of the specifics of neuronal architecture, imaging must ...
Ashok Veeraraghavan, Alex Genkin, Shiv Vitaladevun...
We propose a new approach to adaptive system identification when the system model is sparse. The approach applies the ℓ1 relaxation, common in compressive sensing, to improve t...
In this paper we introduce a virtual locomotion system that allows navigation within any large-scale virtual environment (VE) by real walking. In contrast to [5] we have developed...
Frank Steinicke, Timo Ropinski, Gerd Bruder, Klaus...
Range sensing technology allows the photorealistic modeling of large-scale scenes, such as urban structures. The generated 3D representations, after automated registration, are us...
Ioannis Stamos, Gene Yu, George Wolberg, Siavash Z...