Visual vocabulary serves as a fundamental component in many computer vision tasks, such as object recognition, visual search, and scene modeling. While state-of-the-art approaches...
For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors t...
We describe the process of converting plain text cultural heritage data to elements of a domain-specific knowledge base, using general machine learning techniques. First, digitise...
This paper presents an approach for indexing a large set of videos by considering the dynamic behaviour of local visual features along the sequences. The proposed concept is based...
Medical ontologies are developed to solve problems such as the demand for reusing, sharing and transmitting data. The unambiguous communication of complex and detailed medical conc...