As the gap between processor and memory performance widens, careful analyses and optimizations of cache memory behavior become increasingly important. While analysis of regular lo...
In applying Hidden Markov Models to the analysis of massive data streams, it is often necessary to use an artificially reduced set of states; this is due in large part to the fac...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher, Jon...
Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
—This paper presents the application of quality function deployment (QFD) to process analysis. QFD has been applied in various industries since the 1960s, but traditional QFD met...
In this paper, a learning control system is considered for motion systems that are subject to two types of disturbances; reproducible disturbances, that re-occur each run in the s...
Wubbe J. R. Velthuis, Theo J. A. de Vries, Pieter ...