5 search results - page 1 / 1 » Hierarchical Tensor Approximation of Multidimensional Images |
ICIP
2007
IEEE
14 years 6 months 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...
ICIP
2008
IEEE
13 years 11 months ago
2008
IEEE
The wavelet transform hierarchically decomposes images with prescribed bases, while multilineal models search for optimal bases to adapt visual data. In this paper, we integrate t...
TVCG
2008
13 years 4 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 ...
ICIP
2010
IEEE
13 years 2 months ago
2010
IEEE
Based on the theory of Markov Random Fields, a Bayesian regularization model for diffusion tensor images (DTI) is proposed in this paper. The low-degree parameterization of diffus...
VVS
1995
IEEE
13 years 8 months ago
1995
IEEE
This paper explores the use of multi-dimensional trees to provide spatial and temporal e ciencies in imaging large data sets. Each node of the tree contains a model of the data in...