This paper focuses on the integration of acoustic and visual information for people tracking. The system presented relies on a probabilistic framework within which information from...
Roberto Brunelli, Alessio Brutti, Paul Chippendale...
In this paper we outline the design and present a sample of the REBECA bilingual lexical-conceptual database constructed by linking two monolingual lexical resources in which a se...
This paper proposes a methodology to generate artificial data sets to evaluate the behavior of machine learning techniques. The methodology relies in the definition of a domain an...
Joaquin Rios-Boutin, Albert Orriols-Puig, Josep Ma...
It is becoming increasingly important to learn from a partially-observed random matrix and predict its missing elements. We assume that the entire matrix is a single sample drawn ...
The aim of this paper is to compare Bayesian network classifiers to the k-NN classifier based on a subset of features. This subset is established by means of sequential feature se...