— We use statistical estimates of the entropy rate of spike train data in order to make inferences about the underlying structure of the spike train itself. We first examine a n...
The fragmentation of knowledge management (KM) as a field and as an area of research poses serious theoretical challenges for researchers. The viability of KM rests on how the com...
Linear subspace methods that provide sufficient reconstruction of the data, such as PCA, offer an efficient way of dealing with missing pixels, outliers, and occlusions that often ...
Feature modeling systems usually employ a boundary representation (b-rep) to store the shape information on a product. It has, however, been shown that a b-rep has a number of sho...
Rafael Bidarra, Joaquim Madeira, Willem J. Neels, ...
Abstract: Large biomedical projects often include workflows running across institutional borders. In these workflows, data describing biomedical entities, such as patients, bio-m...