The estimation of high-dimensional probability density functions (PDFs) is not an easy task for many image processing applications. The linear models assumed by widely used transf...
Legacy applications are still widely spread. If a need to change deployment or update its functionality arises, it becomes difficult to estimate the performance impact of such modi...
Steffen Becker, Michael Hauck, Mircea Trifu, Klaus...
—In some applications, the probability of error of a given classifier is too high for its practical application, but we are allowed to gather more independent test samples from ...
Systems with wearable and wireless motion sensors have been receiving significant attention in the past few years specifically for the applications of human movement monitoring. O...
This paper describes the conceptual and algorithmic evolutions of Memory Based Parametric Equalization (MPEQ) needed to exploit the potentialities of the method within the state-o...