Classification Paradigms
Classification systems have the task of assigning an input sample to one of a set of classes, using a priori knowledge. The MIVIA lab research activities in this field have been focused on two aspects: Multiple Classifier Systems and Classifiers with a reject option.
Graph based classification and learning
The MIVIA lab research activity has been focused on the formulation on the learning problem in terms of graphs, using a special kind of generalized graphs as class descriptions, and in the development of learning algorithms based on this representation.
Image analysis and recognition
The research efforts of the MIVIA Lab in this field are mainly focused on the definition of techniques for the analysis of biomedical images with the aim of providing the enabling technologies for the realization of Computer Aided Diagnosis (CAD) systems.
Video analysis and interpretation
The analysis and interpretation of video sequences is a growing research field. The MIVIA lab is active in this research field by more than a decade, and has defined innovative techniques for the real time processing of video sequences for different applicative scenarios.