Now showing items 1-10 of 125
Unsupervised similarity learning through rank correlation and kNN sets
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 ...
Unsupervised manifold learning through reciprocal kNN graph and Connected Components for image retrieval tasks
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 ...
Semi-supervised and active learning through Manifold Reciprocal kNN Graph for image retrieval
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 ...
Influence of zirconium addition on final properties of K0.5Na0.5NbO3-based ceramics
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 ...
Uniform consistency of kNN regressors for functional variables
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 ...
Improving the space cost of k-NN search in metric spaces by using distance estimators
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 ...