Abstract. We present a framework and algorithm for tracking articulated motion for humans. We use multiple calibrated cameras and an articulated human shape model. Tracking is perf...
Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...
In this paper, we address the problem of symbolically computing the region in the parameter’s space that guarantees a feasible schedule, given a set of real-time tasks character...
Power consumption has become an increasingly important constraint in high-performancecomputing systems, shifting the focus from peak performance towards improving power efficiency...
This paper discusses the efficiency of various batching methods for estimating performance parameters from steady-state simulation output, e.g., the steadystate mean. Our primary ...