Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
In many distributed environments, the primary function of monitoring software is to detect anomalies, that is, instances when system behavior deviates substantially from the norm....
Shipra Agrawal, Supratim Deb, K. V. M. Naidu, Raje...
In this paper we consider the problem of solving different pose and registration problems under rotational constraints. Traditionally, methods such as the iterative closest point ...
Many recent techniques for timing analysis under variability, in which delay is an explicit function of underlying parameters, may be described as parameterized timing analysis. T...