Similarity search without tears: the OMNI-family of all-purpose access methods (2001)
- Authors:
- USP affiliated authors: TRAINA, AGMA JUCI MACHADO - ICMC ; TRAINA JUNIOR, CAETANO - ICMC
- Unidade: ICMC
- Assunto: ENGENHARIA DE SOFTWARE
- Language: Inglês
- Imprenta:
- Publisher: IEEE Computer Society
- Publisher place: Los Alamitos
- Date published: 2001
- Source:
- Título do periódico: Proceedings
- Conference titles: International Conference on Data Engineering
-
ABNT
SANTOS FILHO, Roberto Figueira et al. Similarity search without tears: the OMNI-family of all-purpose access methods. 2001, Anais.. Los Alamitos: IEEE Computer Society, 2001. . Acesso em: 12 set. 2024. -
APA
Santos Filho, R. F., Traina, A. J. M., Traina Junior, C., & Faloutsos, C. (2001). Similarity search without tears: the OMNI-family of all-purpose access methods. In Proceedings. Los Alamitos: IEEE Computer Society. -
NLM
Santos Filho RF, Traina AJM, Traina Junior C, Faloutsos C. Similarity search without tears: the OMNI-family of all-purpose access methods. Proceedings. 2001 ;[citado 2024 set. 12 ] -
Vancouver
Santos Filho RF, Traina AJM, Traina Junior C, Faloutsos C. Similarity search without tears: the OMNI-family of all-purpose access methods. Proceedings. 2001 ;[citado 2024 set. 12 ] - Integrating images to patient electronic medical records through content-based retrieval techniques
- MAMView: a visual tool for exploring and understanding metric access methods
- Accelerating approximate similarity queries using genetic algorithms
- Image domain formalization for content-based image retrieval
- MAMCost: global and local estimates leading to robust cost estimation of similarity queries
- Data pre-processing: a new algorithm for feature selection and data discretization
- A CAD system based on complex networks theory to characterize mass in mammograms
- Sistema de recuperação de imagens similares em um hospital universitário
- Incluindo consultas por similaridade em SQL
- How to speed up outliers removal in image matching
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