The robot described in this paper learns words that relate to objects and their attributes and also learns concepts, which may be recursive, that involve relationships between sev...
Access to devices that integrate Global Positioning data with image and sound acquisition becomes more common, enabling people to build large collections of locative multimedia. A...
In the 2003, more camera phones were sold worldwide than digital cameras. With this new platform, we can leverage regularities in the spatio-temporal context and social community ...
In this paper, an image retrieval methodology suited for search in large collections of heterogeneous images is presented. The proposed approach employs a fully unsupervised segme...
Vasileios Mezaris, Ioannis Kompatsiaris, Michael G...
Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...