In the last few decades significant progress has been made in the area of spatial and temporal reasoning. There is a growing interest in this area, especially within the artificial intelligence community, which may be attributed to the large number of application domains in which one has to deal directly or indirectly with temporal or spatial information, or both. However, dealing with time and...

Rapid increases in remote sensing capability have made remotely sensed images an importance source for intelligence analysts to discover geospatial features. The overwhelming volume of routine image acquisition has greatly outpaced the increase in the capacity of manual image interpretation by intelligence analysts, and prompted automated methods for geospatial feature extraction from high spat...

________________________________________________________________________________________________________ Study of the coarticulation CV within Italian adult stutterers The coarticulation of the stuttered speech shows distinctive characteristics in its dysfluent aspects as well as in its fluent ones. The present survey is about the coarticulation of fluent sequences tested in Italian adult stutt...

One of the long-term goals of our society is to build robots able to live side by side with humans. In order to do so, robots need to be able to reason in a qualitative way. To this end, over the last years, the Artificial Intelligence research community has developed a considerable amount of qualitative reasoners. The majority of such approaches, however, has been developed under the assumptio...

The purpose of this study is to explore the feasibility and potential benefits of using a physiological plausible model of handwriting as a feature representation for sequence generation with recurrent mixture density networks. We build on recent results in handwriting prediction developed by Graves (2013), and we focus on generating sequences that possess the statistical and dynamic qualities ...

Qualitative spatio-temporal reasoning is an active research area in Artificial Intelligence. In many situations there is a need to reason about intertemporal qualitative spatial relations, i.e. qualitative relations between spatial regions at different time-points. However, these relations can never be explicitly observed since they are between regions at different time-points. In applications ...

Motion coding in the brain undoubtedly reflects the statistics of retinal image motion occurring in the natural environment. To characterize these statistics it is useful to measure motion in artificial movies derived from simulated environments where the “ground truth” is known precisely. Here we consider the problem of coding retinal image motion when an observer moves through an environment....

Utopia and Vision. Learning from Vienna and Frankfurt By definition, a utopia cannot be realized; at the same time architecture needs a “place”. Within this contradiction, modern architectural utopias have conceived of and developed spatial solutions to implement their principles. The spatial analysis of modern utopias allows for the identification of the relationship between architectural feat...

The purpose of this paper is to discuss the role of variability in human movement, with emphasis on locomotion variability. Based on the assessment of stride characteristics, movement variability has been associated with reduced gait stability and unsteadiness. However, based on the measure of joint coordination during locomotion, variability has been suggested to provide a source of adaptation...

Early psychological researchers proposed a link between intelligence and low-level perceptual performance. It was recently suggested that this link is driven by individual variations in the ability to suppress irrelevant information, evidenced by the observation of strong correlations between perceptual surround suppression and cognitive performance. However, the neural mechanisms underlying su...