Abstract— In this paper, we introduce a novel preimage computation technique that directly computes the circuit cofactors without an explicit search for any satisfiable solution...
Software practitioners experience pressure to compromise their work and their reasonable care for others. Even as software becomes more beneficial, pervasive, and interconnected, ...
In recent work, Kalman Filtered Compressed Sensing (KF-CS) was proposed to causally reconstruct time sequences of sparse signals, from a limited number of “incoherent” measure...
—The performance estimation of complex multi-processor systems-on-chip (MPSoC) in a reasonable amount of time and with a good accuracy becomes more and more challenging due to th...
Kai Huang, Iuliana Bacivarov, Jun Liu, Wolfgang Ha...
In this work a framework for constructing object detection classifiers using weakly annotated social data is proposed. Social information is combined with computer vision techniq...