We address the problem of keyword spotting in continuous speech streams when training and testing conditions can be different. We propose a keyword spotting algorithm based on spa...
We consider networked, embedded real-time systems that operate under run-time uncertainties on activity execution times and arrivals, node failures, and message losses. We consider...
Sherif Fadel Fahmy, Binoy Ravindran, E. Douglas Je...
— In this paper, we study how to appropriately match users for two-user cooperative diversity systems that deploy optimal power allocation for an amplify and forward or a regener...
Veluppillai Mahinthan, Lin Cai, Jon W. Mark, Xuemi...
— In this paper, we present an Extended Kalman Filter (EKF)-based algorithm for real-time vision-aided inertial navigation. The primary contribution of this work is the derivatio...
Importance sampling-based algorithms are a popular alternative when Bayesian network models are too large or too complex for exact algorithms. However, importance sampling is sensi...