We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
We present a novel approach for multi-object tracking which considers object detection and spacetime trajectory estimation as a coupled optimization problem. It is formulated in a...
Aiming at manipulating clothes, a model-driven method of estimating the state of hanging clothes is proposed. We suppose a system consisting of two manipulators and a camera. The ...
In this paper we present a new sparse iterative covariance-based estimation approach, called SPICE, to the direction of arrival estimation problem. SPICE is obtained by the minimi...
Service providers as we know them nowadays are the always-on “static” web service providers, that aim at Five9 availability (99.999%). Formal, or de-facto, standards, such as ...