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) Speci

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A VirB4 ATPase of the mobile accessory genome orchestrates core genome-encoded features of physiology, metabolism, and virulence of Pseudomonas aeruginosa TBCF10839

Pseudomonas aeruginosa TBCF10839 is a highly virulent strain that can persist and replicate in human neutrophils.Screening of a signature-tagged mutagenesis (STM) TBCF10839 transposon library in phagocytosis tests identified a Wick Trimmer mutant that carried the transposon in the VirB4 homolog 5PG21 of an integrative and conjugative element (ICE)-

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Non-Invasive Behavioral Reference Group Categorization Considering Temporal Granularity and Aggregation Level of Energy Use Data

Within residences, normative messaging interventions have been gaining interest as a cost-effective way to promote energy-saving behaviors.Behavioral reference groups are one important factor in determining the effectiveness of normative messages.More personally relevant and meaningful groups are likely to promote behavior change.Using readily avai

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