This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Morphologically complex terms composed from Greek or Latin elements are frequent in scientific and technical texts. Word forming units are thus relevant cues for the identificatio...
The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
Preliminary work by the authors made use of the so-called "Manhattan world" assumption about the scene statistics of city and indoor scenes. This assumption stated that ...
Layout refers to the process of determining the size and position of the visual objects in an information presentation. We introduce the WeightMap, a bitmap representation of the ...