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MCS
2008
Springer
13 years 10 months ago
Dynamical low-rank approximation: applications and numerical experiments
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...
Achim Nonnenmacher, Christian Lubich
ICMLA
2007
14 years 7 days ago
Scalable optimal linear representation for face and object recognition
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...
Yiming Wu, Xiuwen Liu, Washington Mio
SIGMOD
1997
ACM
160views Database» more  SIGMOD 1997»
14 years 3 months ago
Improved Query Performance with Variant Indexes
: 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...
Patrick E. O'Neil, Dallan Quass
ICPP
1987
IEEE
14 years 2 months ago
Performance of VLSI Engines for Lattice Computations
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....
SIGMOD
2003
ACM
163views Database» more  SIGMOD 2003»
14 years 11 months ago
Multi-Dimensional Clustering: A New Data Layout Scheme in DB2
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 ...
Sriram Padmanabhan, Bishwaranjan Bhattacharjee, Ti...