609 citations · 1.2k across the 42 of their papers we have counts for
3 papers · 2 filters
Implicitly Constrained Semi-Supervised Linear Discriminant Analysis
Jesse H. Krijthe, Marco Loog
Semi-supervised learning is an important and active topic of research in pattern recognition. For classification using linear discriminant analysis specifically, several semi-super…
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…