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An efficient algorithm for approximated self-similarity joins in metric spaces
(Elsevier, 2020)
Similarity join is a key operation in metric databases. It retrieves all pairs of elements that are similar. Solving such a problem usually requires comparing every pair of objects of the datasets, even when indexing and ...
Worst-Case-Optimal Similarity Joins on Graph Databases
(2024)
We extend the concept of worst-case optimal equijoins in graph databases to the case where some nodes are required to be within the k-nearest neighbors (kNN) of others under some similarity function. We model the problem ...
Methods of phylogenetic inferenceMétodos de inferencia filogenética
(Universidad Nacional Mayor de San Marcos, Facultad de Ciencias Biológicas, 2011)
An immune-inspired multi-objective approach to the reconstruction of phylogenetic trees
(SpringerNew YorkEUA, 2010)
Evaluating boundary conditions and hierarchical visualization in CBIR
(Ieee Computer Soc, 2019-01-01)
Multiple descriptors are employed to represent images in Content-Based Image Retrieval (CBIR) systems. Each descriptor consists of a feature extractor associated with a distance function. An extractor is generally suitable ...
Live neighbor-joining
(BMC, 2018-05-16)
Análisis visual de la evolución de temas en Corpus de documentos usando árboles de Similitud
(Universidad Nacional de San Agustín de Arequipa, 2018)
En este trabajo se propone visualizar la evolución temática de corpus de documentos usando Neighbor joining tree (NJT). Para poder lograr esto es necesario extraer vectores característicos que conserven una fecha probabilista ...