This paper deals with the task of "nding a set of prototypes from the training set. A reduced set is obtained which is used instead of the training set when nearest neighbour...
A similarity measure is described that does not require the prior specification of features or the need for training sets of representative data. Instead large numbers of feature...
Classical dynamic Bayesian networks (DBNs) are based on the homogeneous Markov assumption and cannot deal with heterogeneity and non-stationarity in temporal processes. Various ap...
Abstract— A core challenge in probabilistic mapping is to extract meaningful uncertainty information from data registration methods. While this has been investigated in ICP-based...
It has been recognized for quite some time that sustainable data formats play an important role in the development and curation of linguistic resources. The purpose of this paper ...