We present a framework for learning object representations for fast recognition of a large number of different objects. Rather than learning and storing feature representations s...
Abstract. Past evidence has shown that generic approaches to recommender systems based upon collaborative filtering tend to poorly scale. Moreover, their fitness for scenarios su...
Many numerical solutions of large scale simulation models require finer discretizations in some regions of the computational grid. When this region is not known in advance, adapti...
The conventional computing Grid has developed a service oriented computing architecture with a superlocal resource management and scheduling strategy. This architecture is limited...
The Internet has solved the age-old problem of network connectivity and thus enabling the potential access to, and data sharing among large numbers of databases. However, enabling ...