Kernel regression is an effective tool for a variety of image processing tasks such as denoising and interpolation [1]. In this paper, we extend the use of kernel regression for de...
In this paper we present a parameter optimisation procedure that is designed to automatically initialise the number of clusters and the initial colour prototypes required by data ...
This paper presents a new algorithm based on shift-invariant probabilistic latent component analysis that analyzes harmonic structures in an audio signal. Each note in a constant-...
For a particular business process, typically, different variants exist. Each of them constitutes an adjustment of a basic process (e.g. a reference process) to specific requirement...
Current technologies aimed at supporting processes – whether it is a business process or a learning process – are usually based on using a dedicated set of metadata to describ...