We describe a novel method for human detection in single images which can detect full bodies as well as close-up views in the presence of clutter and occlusion. Humans are modeled ...
Krystian Mikolajczyk, Cordelia Schmid, Andrew Ziss...
Potentially, the advantages of marker-passing over local connectionist techniques for associa tive inference are (1) the ability to differen tiate variable bindings, and (2) r...
We have developed a browser suitable for finding events from timelines, in particular from life logs and other timelines containing a familiar narrative. The system infers the rel...
We present a breadth-first search algorithm, two-bit breadthfirst search (TBBFS), which requires only two bits for each state in the problem space. TBBFS can be parallelized in se...
Complex networks, such as biological, social, and communication networks, often entail uncertainty, and thus, can be modeled as probabilistic graphs. Similar to the problem of sim...
Michalis Potamias, Francesco Bonchi, Aristides Gio...