137 citations · 488 across the 26 of their papers we have counts for
3 papers · 1 filter
On Classification with Bags, Groups and Sets
Veronika Cheplygina, David M. J. Tax, Marco Loog
Many classification problems can be difficult to formulate directly in terms of the traditional supervised setting, where both training and test samples are individual feature vect…
Quantile Representation for Indirect Immunofluorescence Image Classification
David M. J. Tax, Veronika Cheplygina, Marco Loog
In the diagnosis of autoimmune diseases, an important task is to classify images of slides containing several HEp-2 cells. All cells from one slide share the same label, and by cla…
Dissimilarity-based Ensembles for Multiple Instance Learning
Veronika Cheplygina, David M. J. Tax, Marco Loog
In multiple instance learning, objects are sets (bags) of feature vectors (instances) rather than individual feature vectors. In this paper we address the problem of how these bags…