There are many applications that demand large quantities of natural looking motion. It is difficult to synthesize motion that looks natural, particularly when it is people who mus...
— The efficient diagnosis of hardware and software faults in parallel and distributed systems remains a challenge in today’s most prolific decentralized environments. System-...
A popular approach for dimensionality reduction and data analysis is principal component analysis (PCA). A limiting factor with PCA is that it does not inform us on which of the o...
Mahdokht Masaeli, Yan Yan, Ying Cui, Glenn Fung, J...
A Feature Model (FM) is a compact representation of all the products of a software product line. The automated extraction of information from FMs is a thriving research topic invo...
Sergio Segura, Robert M. Hierons, David Benavides,...
Abstract. The increasing adoption of MDD (Model Driven Development) techniques favored the use of large models of different types. It turns out that when the modeled system gets la...