Optimal combination of data modes in inverse problems: maximum compatibility estimate

Details Optimal combination of data modes in inverse problems: maximum compatibility estimate Optimal combination of data modes in inverse problems: maximum compatibility estimate

2010-01-15

arxiv.org/abs/1001.2634v1

Proceedings of ISAAC 2009, World Scientific, eds. Ruzhansky and Wirth, p. 365 (2010)

Mathematics

Optimization and Control

ISAAC 2009 (London) conference proceedings

Scientific paper

We present an optimal strategy for the relative weighting of different data modes in inverse problems, and derive the maximum compatibility estimate (MCE) that corresponds to the maximum likelihood or maximum a posteriori estimates in the case of a single data mode. MCE is not explicitly dependent on the noise levels, scale factors or numbers of data points of the complementary data modes, and can be determined without the mode weight parameters. As a case study, we consider the problem of reconstructing the shape of a body in $\R^3$ from the boundary curves (profiles) and volumes (brightness values) of its generalized projections.

Affiliated with

Also associated with

No associations

Rating

Optimal combination of data modes in inverse problems: maximum compatibility estimate does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Optimal combination of data modes in inverse problems: maximum compatibility estimate, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Optimal combination of data modes in inverse problems: maximum compatibility estimate will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-356495