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For biological experiments aiming at calibrating models with unknown parameters, a good experimental design is crucial, especially for those subject to various constraints, such as financial limitations, time consumption and physical practicability. In this paper, we discuss a sequential experimental design based on information theory for parameter estimation and apply it to two biological systems...
The use of information theoretic cost functions in image registration is investigated, focusing on uncertainty coefficients. The theoretical derivation of the popular normalised mutual information cost function is presented and shown to be equivalent to a particular symmetrisation of relevant uncertainty coefficients. The use of uncertainty coefficients in image registration is investigated by recovering...
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