Data mining techniques that are successful in transaction and text data may not be simply applied to image data that contain high-dimensional features and have spatial structures....
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
For Web applications in which the database component is the bottleneck, scalability can be provided by a third-party Database Scalability Service Provider (DSSP) that caches appli...
Amit Manjhi, Anastassia Ailamaki, Bruce M. Maggs, ...
A significant challenge in implementing the Theory of Constraints in the semiconductor industry is the complex and reentrant nature of the manufacturing process. Managing a constr...
Abstract. In this paper we elaborate on the challenges of learning manifolds that have many relevant clusters, and where the clusters can have widely varying statistics. We call su...