Similarity Query Optimization
Mostrando 1-3 de 3 artigos, teses e dissertações.
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1. Optimizing similarity queries in metric spaces meeting user\ s expectation / Otimização de operações de busca por similaridade em espaços métricos
The complexity of data stored in large databases has increased at very fast paces. Hence, operations more elaborated than traditional queries are essential in order to extract all required information from the database. Therefore, the interest of the database community in similarity search has increased significantly. Two of the well-known types of similarit
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 22/10/2012
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2. Reducing the semantic gap content-based image retrieval with similarity queries / Adequando consultas por similaridade para reduzir a descontinuidade semântica na recuperação de imagens por conteúdo
The increasing number of images captured in digital media fostered the developmet of new methods for the recovery of these images. Dissimilarity is a criteria that can be used for image retrieval, where the results are images that are similar to a given reference. The queries are based on feature vectors automatically extracted from the images and on distanc
Publicado em: 2009
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3. DBM-Tree: trading height-balancing for performance in metric access methods
Metric Access Methods (MAM) are employed to accelerate the processing of similarity queries, such as the range and the k-nearest neighbor queries. Current methods, such as the Slim-tree and the M-tree, improve the query performance minimizing the number of disk accesses, keeping a constant height of the structures stored on disks (height-balanced trees). How
Journal of the Brazilian Computer Society. Publicado em: 2006-04