Computer vision research and applications have their origins in 1960s. Limitations in
computational resources inherent of that time, among other reasons, caused research to …

The use of ontological knowledge to improve classification results is a promising line of
research. The availability of a probabilistic ontology raises the possibility of combining the …

Incorporating ontological knowledge into supervised machine learning pipelines is a
promising avenue of research aimed at enhancing classification performance. Specifically …

The goal of the Data Exploration in the Web 3.0 Age (DEW 2017) conference track has been
bringing together researchers and practitioners from both the Academia and Industry …

Integrating ontological knowledge is a promising research direction to improve automatic
image description. In particular, when probabilistic ontologies are available, the …

Techniques in computer vision have evolved over the years and seen breakthroughs in the
recent past with fully data-driven approaches such as deep neural networks. Although these …

This chapter wants to give an overview on the classification problem and some methods to
deal with it. After giving an introduction on the classification problem in Section 2.1, the …

Computer vision research and applications have their origins in 1960s. Limitations in
computational resources inherent of that time, among other reasons, caused research to …

La sezione relativa ai ringraziamenti penso sia molto delicata e difficile da scrivere, questo
per il semplice fatto che si prova a spiegare a determinate persone quanto siano importanti …