Many applications in computer vision and pattern recognition involve drawing inferences on certain manifoldvalued parameters. In order to develop accurate inference algorithms on ...
Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellap...
: The topic of this paper is a novel Bayesian continuous-basis field representation and inference framework. Within this paper several problems are solved: The maximally informativ...
We study the concept of choice for true concurrency models such as prime event structures and safe Petri nets. We propose a dynamic variation of the notion of cluster previously in...
As a promising new technology with the unique properties like high efficiency, scalability and fault tolerance, Peer-toPeer (P2P) technology is used as the underlying network to b...
Weixiong Rao, Lei Chen 0002, Ada Wai-Chee Fu, Ying...
In recent years, the tourism assistance community is gradually shifting its emphasis to digital, interactive systems. Our project aims for digital tourism assistance by combining ...
Alf-Christian Schering, Martin Dueffer, Andreas Fi...