Progress in the digitization of cultural assets leads to online databases that become too large for a human analyze. Moreover, some analyses might be challenging, even experts. In this paper, we explore two applications computer vision analyze historical data: watermark recognition and one-shot repeated pattern detection artwork collections. Both problems present challenges which believe repres...

With the rapid rise of wearable sleep monitoring devices with non-conventional electrode configurations, there is a need for automated algorithms that can perform staging on configurations small amounts labeled data. Transfer learning has ability to adapt neural network weights from source modality (e.g. standard configuration) new target configuration). We propose feature matching, transfer st...