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…
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…
Multiple Instance Learning with Bag Dissimilarities
Veronika Cheplygina, David M. J. Tax, Marco Loog
Multiple instance learning (MIL) is concerned with learning from sets (bags) of objects (instances), where the individual instance labels are ambiguous. In this setting, supervised…