Abstract
One of the difficulties of using energy models is the need to choose the weighting parameters for each of their terms. In the simple examples given in the previous chapters, the energy expressions contained parameters that were assumed to be known. In real applications, however, these parameters are always unknown. In this chapter we will describe methods that can be used to estimate these parameters. These are general methods covering a wide range of situations. Nonetheless, the estimation of parameters is still a problem and a drawback of energy-based modeling.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag New York, Inc.
About this chapter
Cite this chapter
Chalmond, B. (2003). Parameter Estimation. In: Modeling and Inverse Problems in Imaging Analysis. Applied Mathematical Sciences, vol 155. Springer, New York, NY. https://doi.org/10.1007/978-0-387-21662-1_8
Download citation
DOI: https://doi.org/10.1007/978-0-387-21662-1_8
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-3049-1
Online ISBN: 978-0-387-21662-1
eBook Packages: Springer Book Archive