The ability of Compressive Sensing (CS) to recover sparse signals from limited measurements has been recently exploited in computational imaging to acquire high-speed periodic and...
M. Salman Asif, Dikpal Reddy, Petros Boufounos, As...
Abstract. We present a novel computational framework for characterizing signal in brain images via nonlinear pairing of critical values of the signal. Among the astronomically larg...
Moo K. Chung, Vikas Singh, Peter T. Kim, Kim M....
Abstract. Being able to find the silhouette of an object is a very important front-end processing step for many high-level computer vision techniques, such as Shape-from-Silhouette...
Memory leaks and memory corruption are two major forms of software bugs that severely threaten system availability and security. According to the US-CERT Vulnerability Notes Datab...
We present a novel algorithm that assigns codes to instructions during instruction code compression in order to minimize bus-related bit-toggling and thus reducing power consumpti...