In this paper, we investigate the advantages and weaknesses of various decision fusion schemes using statistical and rule-based reasoning. The cooperation schemes are applied on t...
Human identification at a distance has recently gained growing interest from computer vision researchers. This paper aims to propose a visual recognition algorithm based upon fusi...
Abstract. In this paper a multi-modal method for human identification that exploits the discriminant features derived from several movement types performed from the same human is p...
Nikolaos Gkalelis, Anastasios Tefas, Ioannis Pitas
This paper addresses the problem of fault detection and isolation in railway track circuits. A track circuit can be considered as a large-scale system composed of a series of trim...
Latifa Oukhellou, Alexandra Debiolles, Thierry Den...
After deploying a classifier in production it is essential to support its lifecycle. This paper describes the application of an ensemble of classifiers to support two stages of the...