The ignorance on spatial information and semantics of visual words becomes main obstacles in the bag-of-visual-words (BoW) method for image classification. To address the obstacles...
The most popular approach to large scale image retrieval is based on the bag-of-visual-word (BoV) representation of images. The spatial information is usually reintroduced as a po...
We propose a novel method for multi-robot plan adaptation which can be used for adapting existing spatial plans of robotic teams to new environments or imitating collaborative spat...
Abstract. The visualization of geographic information requires large displays. Even large screens can be insufficient to visualize e.g. a long route in a scale, such that all decis...
Researchers in commonsense, qualitative spatial and temporal reasoning (QSTR) provide flexible and intuitive methods for reasoning about vague and uncertain information including ...
People intuitively understand that function and purpose are critical parts of what human-configured entities are about, but these notions have proved difficult to capture formally....
The hippocampus is known to be involved in spatial learning in rats. Spatial learning involves the encoding and replay of temporally sequenced spatial information. Temporally seque...
Spatial agent models can be used to explore self-organising effects such as pattern growth and segregation. We employ our predator-prey model to study these emergent behaviours in...
Survey knowledge of spatial environments can be successfully conveyed by visual maps. For visually impaired people, tactile maps have been proposed as a substitute. The latter are ...
Spatial and temporal data have become ubiquitous in many application domains such as the Geosciences or life sciences. Sophisticated database management systems are employed to ma...