We propose a novel, computationally efficient generative topographic model for inferring low dimensional representations of high dimensional data sets, designed to exploit data s...
Ideally computer pattern recognition systems should be insensitive to scaling, translation, distortion and rotation. Many neural network models have been proposed to address this ...
A novel method for the robust identification of interpretable fuzzy models, based on the criterion that identification errors are least sensitive to data uncertainties and modelli...
This paper describes the preliminary research of an ambient intelligent system known as socioec(h)o. socio-ec(h)o explores the design and implementation of an ambient intelligent ...
Ron Wakkary, Marek Hatala, Robb Lovell, Milena Dro...
Among the various types of semantic concepts modeled, events pose the greatest challenge in terms of computational power needed to represent the event and accuracy that can be ach...