65 search results - page 3 / 13 » Vector field reconstruction from sparse samples with applica... |
CORR
2008
Springer
13 years 8 months ago
2008
Springer
This paper presents a hierarchical Bayesian model to reconstruct sparse images when the observations are obtained from linear transformations and corrupted by an additive white Gau...
CDC
2010
IEEE
13 years 3 months ago
2010
IEEE
In this paper, we derive concentration of measure inequalities for compressive Toeplitz matrices (having fewer rows than columns) with entries drawn from an independent and identic...
IPMI
2005
Springer
14 years 9 months ago
2005
Springer
Modeling the variability of brain structures is a fundamental problem in the neurosciences. In this paper, we start from a dataset of precisely delineated anatomical structures in ...
CAD
2006
Springer
13 years 8 months ago
2006
Springer
Traditional mesh-based approaches to the modeling and analysis of physical fields within geometric models require some form of topological reconstruction and conversion in the mes...
TIT
2010
13 years 3 months ago
2010
Compressed sensing (CS) has recently emerged as a powerful signal acquisition paradigm. In essence, CS enables the recovery of high-dimensional sparse signals from relatively few ...