We develop a novel approach to the semantic analysis of short text segments and demonstrate its utility on a large corpus of Web search queries. Extracting meaning from short text...
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
— 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...
The study of 2D shapes and their similarities is a central problem in the field of vision. It arises in particular from the task of classifying and recognizing objects from their ...
Server virtualization more readily enables the collocation of disparate workloads on a shared physical platform. When employed on systems across a data center, the result can be a...