Interpretable Discovery in Large Image Data Sets

21 Jun 2018Kiri L. WagstaffJake Lee

Automated detection of new, interesting, unusual, or anomalous images within large data sets has great value for applications from surveillance (e.g., airport security) to science (observations that don't fit a given theory can lead to new discoveries). Many image data analysis systems are turning to convolutional neural networks (CNNs) to represent image content due to their success in achieving high classification accuracy rates... (read more)

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