The NOBH-tree: improving in-memory metric access methods by using metric hyperplanes with non-overlapping nodes (2014)
- Authors:
- USP affiliated authors: TRAINA JUNIOR, CAETANO - ICMC ; TRAINA, AGMA JUCI MACHADO - ICMC
- School: ICMC
- DOI: 10.1016/j.datak.2014.09.001
- Subjects: BANCO DE DADOS; COMPUTAÇÃO GRÁFICA; PROCESSAMENTO DE IMAGENS
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Data & Knowledge Engineering
- ISSN: 0169-023X
- Volume/Número/Paginação/Ano: v. 94, p. 65-88, nov. 2014
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
POLA, Ives Renê Venturini e TRAINA JUNIOR, Caetano e TRAINA, Agma Juci Machado. The NOBH-tree: improving in-memory metric access methods by using metric hyperplanes with non-overlapping nodes. Data & Knowledge Engineering, v. no 2014, p. 65-88, 2014Tradução . . Disponível em: http://dx.doi.org/10.1016/j.datak.2014.09.001. Acesso em: 01 jul. 2022. -
APA
Pola, I. R. V., Traina Junior, C., & Traina, A. J. M. (2014). The NOBH-tree: improving in-memory metric access methods by using metric hyperplanes with non-overlapping nodes. Data & Knowledge Engineering, no 2014, 65-88. doi:10.1016/j.datak.2014.09.001 -
NLM
Pola IRV, Traina Junior C, Traina AJM. The NOBH-tree: improving in-memory metric access methods by using metric hyperplanes with non-overlapping nodes [Internet]. Data & Knowledge Engineering. 2014 ; no 2014 65-88.[citado 2022 jul. 01 ] Available from: http://dx.doi.org/10.1016/j.datak.2014.09.001 -
Vancouver
Pola IRV, Traina Junior C, Traina AJM. The NOBH-tree: improving in-memory metric access methods by using metric hyperplanes with non-overlapping nodes [Internet]. Data & Knowledge Engineering. 2014 ; no 2014 65-88.[citado 2022 jul. 01 ] Available from: http://dx.doi.org/10.1016/j.datak.2014.09.001 - Enhancing data visualization techniques
- DBM-tree: a dynamic metric access method sensitive to local density data
- Including conditional operators in content-based image retrieval in large sets of medical exams
- Integrating images to patient electronic medical records through content-based retrieval techniques
- Enhanced visual evaluation of feature extractors for image mining
- Image domain formalization for content-based image retrieval
- Accelerating approximate similarity queries using genetic algorithms
- MAMView: a visual tool for exploring and understanding metric access methods
- Incluindo consultas por similaridade em SQL
- iDFQL: a query-based tool to help the teching process of the relational algebra
Informações sobre o DOI: 10.1016/j.datak.2014.09.001 (Fonte: oaDOI API)
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