60 search results - page 3 / 12 » Concept Lattice Reduction by Singular Value Decomposition |
TPDS
2010
13 years 5 months ago
2010
The objective of this paper is to extend, in the context of multicore architectures, the concepts of tile algorithms [Buttari et al., 2007] for Cholesky, LU, QR factorizations to t...
CBMS
2009
IEEE
14 years 2 months ago
2009
IEEE
In this paper, we present a content-based image retrieval (CBIR) system called MammoSVD. This CBIR system is developed based on breast density – fatty or dense, and the database...
ISCAS
2003
IEEE
14 years 22 days ago
2003
IEEE
We propose an algorithm based on singular value decomposition (SVD) to reduce the number of process variation variables. With few process variation variables, fault simulation and...
KDD
2004
ACM
14 years 7 months ago
2004
ACM
Dimension reduction is a critical data preprocessing step for many database and data mining applications, such as efficient storage and retrieval of high-dimensional data. In the ...
ICIP
2009
IEEE
13 years 5 months ago
2009
IEEE
Subspace-based methods rely on dominant element selection from second order statistics. They have been extended to tensor processing, in particular to tensor data filtering. For t...