1408 search results - page 1 / 282 » Dynamical Tensor Approximation |
SIAMMAX
2010
13 years 5 months ago
2010
For the approximation of time-dependent data tensors and of solutions to tensor differential equations by tensors of low Tucker rank, we study a computational approach that can be ...
MCS
2008
Springer
13 years 10 months ago
2008
Springer
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...
ICIP
2007
IEEE
15 years 17 days ago
2007
IEEE
Visual data comprises of multi-scale and inhomogeneous signals. In this paper, we exploit these characteristics and develop an adaptive data approximation technique based on a hie...
ICA
2012
Springer
12 years 6 months ago
2012
Springer
A novel tensor decomposition called pattern or P-decomposition is proposed to make it possible to identify replicating structures in complex data, such as textures and patterns in ...
TVCG
2008
13 years 10 months ago
2008
Abstract-- Visual data comprise of multi-scale and inhomogeneous signals. In this paper, we exploit these characteristics and develop a compact data representation technique based ...