This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
The appearance of non-rigid objects detected and tracked in video streams is highly variable and therefore makes the identification of similar objects very complex. Furthermore, i...
Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
The result of a distance join operation on two sets of objects R, S on a spatial network G is a set P of object pairs <p, q>, p R, q S such that the distance of an object ...
This paper introduces Way Stealing, a simple architectural modification to a cache-based processor to increase data bandwidth to and from application-specific Instruction Set Exte...
Theo Kluter, Philip Brisk, Paolo Ienne, Edoardo Ch...