Exploiting inter-conceptual relationships to boost SVM classification

The initial aim of this research was to utilize the semantic relationships between some basic concepts to develop a concept detector capable of recognizing an abstract concept like ‘happiness’ in a dataset. Such a detector proved infeasible, and the focus of this research became to develop methods to improve weak classifiers by exploiting the knowledge of more discernable, related concepts.