Although a lot is known about various properties of the motion aftereffect (MAE), there is no systematic study of the topographic organization of MAE. In the current study, first we provided a topographic map of the MAE to investigate its spatial properties in detail. To provide a fine topographic map, we measured MAE with small test stimuli presented at different loci after adaptation to motio...

We study experimentally the effect of dynamic learning of the problem topographic characteristics on stochastic search.

Mapping of vegetation in mountain areas based on remote sensing is obstructed by atmospheric and topographic distortions. A variety of atmospheric and topographic correction methods has been proposed to minimize atmospheric and topographic effects and should in principle lead to a better land cover classification. Only a limited number of atmospheric and topographic combinations has been tested...

In this paper, we present the system developed by GTMUVigo team for the Multimedia Person Discovery in Broadcast TV task at MediaEval 2016. The proposed approach consists in a novel strategy for person discovery which is not based on speaker and face diarisation as in previous works. In this system, the task is approached as a person recognition problem: there is an enrolment stage, where the v...

Ce papier présente un modèle génératif et son estimation permettant la visualisation de données binaires. Notre approche est basée sur un modèle de mélange de lois de Bernoulli par blocs et les cartes de Kohonen probabilistes. La méthode obtenue se montre à la fois parcimonieuse et pertinente en pratique.

Development of meaningful elearning materials has become critical for many organisations in the corporate space, particularly those whose workforce is spread over huge geographical areas. Perhaps even located in different countries, and/or different campuses. The Next GTM network is providing rural and regional customers with their first-ever taste of broadband connectivity. The Next GTM networ...