We propose a Gaussian process (GP) framework for robust inference in which a GP prior on the mixing weights of a two-component noise model augments the standard process over laten...
We present a novel framework for the recognition of facial expressions at arbitrary poses that is based on 2D geometric features. We address the problem by first mapping the 2D loc...
Time-series of count data are generated in many different contexts, such as web access logging, freeway traffic monitoring, and security logs associated with buildings. Since this...
Although extensive literature on BPR is available, there is still a lack of concrete guidance on actually changing processes for the better. In this paper we propose and detail out...
Mariska Netjes, Selma Limam Mansar, Hajo A. Reijer...
To produce quality software and evolve them in an economic and timely fashion, enactable software process models are used for regulating development activities with the support of ...