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To reduce the variables, we fix some parameters such as θ, f, n i, n c, n s.
Fortunately, the nonlinear cost function (13) has some special properties that allow us to first reduce the variables set to be optimized from to, which drastically reduces the computational complexity.
In order to reduce the variables contributing to recognition score differences, enabling us to better focus on the image degradation due to scale, images were first preprocessed using the standard geometric normalization process provided by the CSU face identification evaluation system [25] using the ground truth eye coordinates available with the databases.
A Categorical Principal Components Analysis (CatPCA in package SPSS; Rel. 11.0.1. 2001. SPSS Inc., Chicago) was used to reduce the variables considered into a smaller number of components.
In order to try to reduce the variables in our investigation, eyes with previous uveitis and intraocular surgery were excluded.
In the current study the input variables were three dimensional and there was no need to reduce the variables.
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Meanwhile, a continuous function is applied to replace a sign function to reduce the variable structure control (VSC) chattering.
We made the hypothesis that suppressing these practices could reduce the variable costs of our 12-bed unit.
The purpose of the current work was to suggest and apply a methodology able to reduce the variable space while preserving (even increasing) the model prediction capabilities, thus reducing the redundancy and correlation between variables.
Specifically, the allocation of resources (personnel, supplies and operational costs) could be reviewed to reduce the variable costs of the facility.
While it is possible to improve the first PC score further by reducing the variables (frequency bands), such approach raised some concerns within the framework of spectroscopy.
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