We present a nonparametric Bayesian model for multi-task learning, with a focus on feature selection in binary classification. The model jointly identifies groups of similar tas...
Spatial clustering, which groups similar spatial objects into classes, is an important research topic in spatial data mining. Many spatial clustering methods have been developed re...
Previous work on the production and test of various sonifications has shown that adding a sonification to an interface can assist the execution of a variety of operator tasks [1,2...
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
Many object-oriented toolkits and frameworks for groupware development provide shared objects as a basic service. This relieves developers of a lot of problems originating from th...