L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
Abstract— Enhancing the connectivity of wireless sensor networks is necessary to avoid the occurrence of coverage gaps. In this paper, we aim at improving the network connectivit...
Abstract. The theme of this paper is certifying software for state estimation of dynamic systems, which is an important problem found in spacecraft, aircraft, geophysical, and in m...
Grigore Rosu, Ram Prasad Venkatesan, Jon Whittle, ...
Convergecast is a fundamental operation in wireless sensor networks. Existing convergecast solutions have focused on reducing latency and energy consumption. However, a good desig...
Variable selection is an important and practical problem that arises in analysis of many high-dimensional datasets. Convex optimization procedures that arise from relaxing the NP-...