"Learning with side-information" is attracting more and more attention in machine learning problems. In this paper, we propose a general iterative framework for relevant...
We propose a general framework to index very large datasets of spatial data in a distributed system. Our proposal is built on the recently proposed Scalable Distributed Rtree (SD-...
Electronic design automation is a field replete with challenging ? and often intractable ? problems to be solved over very large instances. As a result, the field of design automa...
Recently, increasing attention has focused on exploring brain activity during rest. A current challenge is to ascertain activity patterns without using an external reference. In t...
Integrity constraints are an essential part of a modern schema definition language. They are useful for semantic specification, update consistency control, query optimization, inf...