The increasing amount of multimedia data collections available today evinces the pressing need for methods capable of indexing and retrieving this content. Despite the continuous advances in multimedia features and ...

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

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 or other metadata, to form a rather sparse ...

Microstructure, electrical and dielectric properties of K1/2Na1/2NbO3 (KNN) modified with ZrO2 were investigated. Powders were obtained by a conventional solid-state method. In this way, samples doped with 0.2 mol% of ZrO2 ...

This paper is devoted to nonparametric analysis of functional data. We give asymptotic results for a kNN generalized regression estimator when the observed variables take values in any abstract space. The main novelty is ...

Similarity searching in metric spaces has a vast number of applications in several fields like multimedia databases, text retrieval, computational biology, and pattern recognition. In this context, one of the most important ...