A Gradient Descent Trust Region Optimizer
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Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3310
This document describes a new simple gradient descent optimizer which is a potential
replacement or supplement for RegularStepGradientDescentOptimizer. The optimizer requires only the gradient of the parameters and uses a simple linear model internally. However, it follows the theoretical basis of a trust-region algorithm and is able to achieve greater efficiency on certain image registration cases.
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Categories: Optimization, Registration optimizers
Keywords: registration, optimization, trust region
Toolkits: ITK, CMake
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