The concept of biological adaptation was closely connected to some mathematical,
engineering and physical ideas from the very beginning. Cannon in his “The wisdom of the …

Despite the advances in machine learning techniques, similarity assessment among
multimedia data remains a challenging task of broad interest in computer science …

Performing effective image retrieval tasks, capable of exploiting the underlying structure of
datasets still constitutes a challenge research scenario. This paper proposes a novel …

Accurately ranking images and multimedia objects are of paramount relevance in many
retrieval and learning tasks. Manifold learning methods have been investigated for ranking …

A massive and ever growing amount of data collections, including visual and multimedia
content are available today. Such content usually possesses additional information, as text …

In this paper, we propose a community detection method to find regions in spatial data with
higher correlations. We construct a 'correlation deviation graph'that considers the influence …

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

Several visual features have been developed for content-based image retrieval in the last
decades, including global, local and deep learning-based approaches. However, despite …

This paper presents a robust and comprehensive graph-based rank aggregation approach,
used to combine results of isolated ranker models in retrieval tasks. The method follows an …

Nowadays, there is a great variety of visual features available for image retrieval tasks.
While fusion strategies have been established as a promising alternative, an inherent …