IMPACT OF LINEAR DIMENSIONALITY REDUCTION METHODS ON THE PERFORMANCE OF ANOMALY DETECTION ALGORITHMS IN HYPERSPECTRAL IMAGES

Impact of linear dimensionality reduction methods on the performance of anomaly detection algorithms in hyperspectral images

Anomaly Detection (AD) has recently become an important application of hyperspectral images analysis.The goal of these algorithms is to find the objects in the image scene which are anomalous in comparison to their surrounding background.One way to improve the performance and runtime of these algorithms is to use Dimensionality Reduction barely buf

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An allozyme polymorphism is associated with a large chromosomal inversion in the marine snail Littorina fabalis

Abstract Understanding the genetic targets of natural selection is one of the most challenging goals of population genetics.Some of the earliest candidate genes were identified from associations between allozyme allele frequencies and environmental variation.One such example is the clinal polymorphism in the arginine kinase (Ak) knesko coupon code

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