In this paper, a new approach to training set size reduction is presented. This scheme basically consists of defining a small number of prototypes that represent all the original ...
Up-to-date results on the application of Markov models to chromosome analysis are presented. On the one hand, this means using continuous Hidden Markov Models (HMMs) instead of dis...
A straightforward and efficient way to discover clustering tendencies in data using a recently proposed Maximum Variance Clustering algorithm is proposed. The approach shares the ...
Abstract: SumTime-Turbine produces textual summaries of archived timeseries data from gas turbines. These summaries should help experts understand large data sets that cannot be vi...
Jin Yu, Ehud Reiter, Jim Hunter, Somayajulu Sripad...
In this paper we discuss the problems faced when trying to design an evaluation protocol for a multimodal system using novel input modalities and in a new domain. In particular, w...