Deirdre B. O'Brien

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Recently developed optical inspection tools provide images from the inside of natural gas pipelines to monitor pipeline integrity. The vast amounts of data generated prohibits human inspection of the resulting images. We designed an image processing and classification method to identify abnormal events. Non-overlapping image blocks are classified into(More)
For two-class classification, it is common to classify by setting a threshold on class probability estimates, where the threshold is determined by ROC curve analysis. An analog for multi-class classification is learning a new class partitioning of the multiclass probability simplex to minimize empirical misclassification costs. We analyze the interplay(More)
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