Dynamical low-rank approximation is a differential-equation based approach to efficiently computing low-rank approximations to time-dependent large data matrices or to solutions o...
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
: The read-mostly environment of data warehousing makes it possible to use more complex indexes to speed up queries than in situations where concurrent updatesare present. The curr...
Abstract. We address the problem of designing and building efficient custom Vl.Sl-besed processors to do computations on large multi-dimensional lattices. The design tradeoffs for ...
Steven D. Kugelmass, Kenneth Steiglitz, Richard K....
We describe the design and implementation of a new data layout scheme, called multi-dimensional clustering, in DB2 Universal Database Version 8. Many applications, e.g., OLAP and ...