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 (DR) techn

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Comparative analysis of perinatal outcome of spontaneous pregnancy reduction and multifetal pregnancy reduction in triplet pregnancies conceived after assisted reproductive technique

INTRODUCTION: With the advent of assisted reproductive treatment options, the incidence of multiple pregnancies has increased.Although the need for elective single embryo transfer is emphasized time and again, its uniform applicability in practice is yet a distant goal.In view of the fact that triplet and higher order pregnancies are associated wit

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Implementation of Faculty Learning Communities to Support Medical Education Scholarship in a Regional Campus System

Introduction: Medical educators need targeted faculty development programs to give them the skills necessary to produce educational scholarship for promotion and tenure.At the Indiana University School of Medicine, which encompasses a large regional campus system, we implemented Faculty Learning Communities (FLCs) to provide a platform for medical

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