We consider the problem of estimating the feedback coefficients of a linear feedback shift register (LFSR) based on noisy observations. In the current approach, the coefficients a...
Simulators are still the primary tools for development and performance evaluation of applications running on massively parallel architectures. However, current virtual platforms a...
Shivani Raghav, Martino Ruggiero, David Atienza, C...
We are witnessing the emergence of the global, dependable and efficient infrastructure of cloud computing. We assess the current state of the Enterprise Knowledge Management field...
Pedestrian detection is an important application in computer vision. Currently, most pedestrian detection methods focus on learning one or multiple fixed models. These algorithms r...
Probabilistic models of the performance of computer systems are useful both for predicting system performance in new conditions, and for diagnosing past performance problems. The ...