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We propose a proximal classification method, named as the hyperspherical 2-surface proximal (H2SP) classifier, by seeking the two smallest hyperspheres for the positive class and the negative class, respectively, each containing the most samples from one class while also the least samples from the other. The proposed H2SP classifier is validated using five public benchmark datasets, including one...
The conventional techniques for refractive error measurements (myopia, hypermetropia, and astigmatism) have been considered inadequate for several optometry researches. In this context, they have investigated alternative methodologies for refractive error measurement. A new strategy is the determination of refractive errors from images of the globe of the eye. A process named Hartmann-Shack can obtain...
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