Recommender Systems are tools designed to help users find relevant information from the
myriad of content available online. They work by actively suggesting items that are relevant …

Impressive advances in acquisition and sharing technologies have made the growth of
multimedia collections and their applications almost unlimited. However, the opposite is true …

Abstract Resource Description Framework (RDF) inherently supports data mergers from
various resources into a single federated graph that can become very large even for an …

Due to the possibility of capturing complex relationships existing between nodes, many
applications benefit from being modeled with graphs. However, performance issues can be …

Effectively measuring similarity among data samples represented as points in high-
dimensional spaces remains a major challenge in retrieval, machine learning, and computer …

Due to possibility of capturing complex relationships existing between nodes, many
application benefit of being modeled with graphs. However, performance issues can be …

Em geral, os sistemas de recuperação de imagens realizam comparações considerando
apenas pares de imagens e acabam por não levar em consideração as informações …

The exponential growth of image collections has demanded a significant increase in the use
of machine learning and image retrieval applications across various scenarios. Despite the …

Grafos são ferramentas poderosas, capazes de capturar relações complexas existentes
entre objetos. Em decorrência de sua robustez e flexibilidade, diversas aplicações podem …

Mainly due to the evolution of technologies to store and share images, the growth of image
collections have been remarkable for years. Therefore, developing effective methods to …