Buscar recursos académicos

In this paper, we aim to establish several properties and notions for interpolative metric spaces and to introduce the idea of a Hausdorff interpolative metric space. Through the formulation of the key principles of Haus...

Similarity search is a fundamental operation for applications that deal with unstructured data sources. In this paper we propose a new pivot-based method for similarity search, called Sparse Spatial Selection (SSS). The...

In this paper, we introduce a family of topologies τp on metric-type spaces (MTSs) using powers of the ϖb-distance. Moreover, we investigate fundamental topological properties, including convergence, closed sets, Cauch...

The convergence of educational technologies, ergonomics, and active learning frameworks offers a multidimensional approach to improving educational outcomes. This study examines the role of Learning Analytics (LA) in opt...

We define a Larotonda space as a quotient space P = UA/UB of the unitary groups of C ∗ -algebras 1 ∈ B ⊂ A with a faithful unital conditional expectation Φ : A → B. In particular, B is complemented in A, a fact ...

Urban Green Infrastructure (UGI) provides multiple benefits, but these are being greatly eroded by urbanization and declining connectivity, which threaten biodiversity in urban centres. This study therefore investigated ...

Abstract To support the efforts of urban experimentation spaces, such as testbeds and living labs, in accelerating societal transformations towards urban sustainability, an exchange of experiences and knowledge across lo...

Delhi, one of the fastest-urbanising megacities in the Global South, has undergone severe fragmentation of blue-green spaces (BGS) over three decades, driving deterioration of urban ecosystem health through impervious-su...

In this paper, we develop a systematic framework for studying fixed-point theory in the setting of normed GE-algebras. Building on the GE-norm, we introduce and analyze nonexpansive mappings, α-averaged mappings, and en...

Abstract Feature selection is a critical step in machine learning, as it helps minimize redundant features, thereby enhancing model performance and interpretability. In practice, partially labeled datasets are common. Wh...

We observe that the diameter of small (in a locally uniform sense) balls in C 1,1 sub-Riemannian manifolds equals twice the radius. We also prove that, when the regularity of the structure is further lowered to C 0, the ...

Metric-temporal databases are a new database model that combines metric spaces with temporal databases to process similarity queries within a time interval or snapshot. The Historical FHQT is a metric-temporal index whic...

The metric spaces model formalizes the similarity search concept in nontraditional databases. The goal is to build an index designed to save distance computations when answering similarity queries later. A large class of...

La teoría de operadores lineales en espacios con métrica indefinida aparece por primera vez en el artículo “Hermitian operators in spaces with an indefinite metric” de L. S. Pontryagin, publicado en el año 1944;...

Many computational applications need to look for information in a database. Nowadays, the predominance of nonconventional databases makes the similarity search (i.e., searching elements of the database that are "similar"...

Web Information Retrieval is another problem of searching elements of a set that are closest to a given query under a certain similarity criterion. It is of interest to take advantage of metric spaces in order to solve a...