Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
This paper presents a multicast approach to shared virtual worlds. A shared VRML world is described with integrated spatial audio in a freeware VRML browser. An implementation in ...
John L. Robinson, John A. Stewart, Isabelle Labb&e...
We present new algorithms for local planning over Markov decision processes. The base-level algorithm possesses several interesting features for control of computation, based on s...
Although color is commonly experienced as an indispensable quality in describing the world around us, state-of-the art local featurebased representations are mostly based on shape ...
Using real world images, two hierarchical graph-based segmentation methods are evaluated with respect to segmentations produced by humans. Global and local consistency measures do...