no code implementations • 10 Aug 2022 • Mario Michael Krell, Nils Wilshusen, Anett Seeland, Su Kyoung Kim
Adding all and removing the oldest samples results in the best performance, whereas for smaller drifts, it can be sufficient to only add potential new support vectors of the SVM which reduces processing resources.
no code implementations • 9 Jan 2018 • Mario Michael Krell, Anett Seeland, Su Kyoung Kim
On image data, data augmentation is becoming less relevant due to the large amount of available training data and regularization techniques.