Research at the Pattern Recognition Laboratory, Delft University of Technology, focuses on the classical trinity of representation, generalization, and evaluation, being the core elements of every pattern recognition system. The lab develops tools and theories and aims at gaining knowledge and understanding applicable to a broad range of general problems typically involving sensory data.
Researchgroups in The Netherlands
Pattern Recognition Laboratory, TUDelft
The prominent research areas covered are dissimilarity-based pattern recognition, multiple classifier systems, one-class classification, and multiple instance learning, while increased interest goes to the investigation of alternative evaluation functions, and fields like semi-supervised and active learning.
The main current application areas are hyperspectral imaging, medical image analysis, and the processing of social signals.
Prof dr M. Reijnders
Dr R.W.P. Duin
Dr. D.M.J. Tax
Dr M. Loog