A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
We consider the joint source-channel coding problem of sending a Gaussian source over a K-user Gaussian broadcast channel with bandwidth mismatch. A new outer bound to the achieva...
—In the realm of satellite communications, one of the great impairments to increase the spectral efficiency is multi-user interference in the reverse link (mobile to satellite). ...
This paper describes a new approach to finding performance bottlenecks in shared-memory parallel programs and its embodiment in the Paradyn Parallel Performance Tools running with...
Abstract. In this paper we introduce a novel approach for learning view-invariant gait representation that does not require synthesizing particular views or any camera calibration....