We initiate the study of error confinement in distributed applications, where the goal is that only nodes that were directly hit by a fault may deviate from their correct external...
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
This work explores the problem of cross-lingual pairwise similarity, where the task is to extract similar pairs of documents across two different languages. Solutions to this pro...
— We consider how to support a large number of users over a wide-area network whose interests are characterized by range top-k continuous queries. Given an object update, we need...
In this work, we approach the classic Mumford-Shah problem from a curve evolution perspective. In particular, we let a given family of curves define the boundaries between regions...