The identification of rare items, events or observations which raise suspicions by differing significantly from the expected or majority of the data.
1 The advantages of spatially varying NF estimation are demonstrated for power analysis, outlier detection and tensor estimation.
2 Standard techniques for outlier detection in range based systems do not usually employ robust algorithms, failing when multiple outliers are present.
3 The resulting framework also incorporates a novel outlier detection mechanism based on a denoising autoencoder that is shown to improve performance.
4 The slope is a cohort-dependent estimate of rate of TDR per drug class and outlier detection reveals comparative persistence of SDRMs.
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This collocation consists of: Translations for outlier detection