Fighting the semantic gap on CBIR systems through new relevance feedback techniques (2006)
- Authors:
- USP affiliated authors: TRAINA, AGMA JUCI MACHADO - ICMC ; JUNIOR, CAETANO TRAINA - ICMC
- Unidade: ICMC
- Assunto: BASES DE DADOS
- Language: Inglês
- Imprenta:
- Publisher: IEEE Computer Society
- Publisher place: Los Alamitos
- Date published: 2006
- ISBN: 9780769525174
- Source:
- Título: Proceedings
- Conference titles: IEEE International Symposium on Computer-Based Medical Systems
-
ABNT
TRAINA, Agma Juci Machado e MARQUES, Joselene e TRAINA JUNIOR, Caetano. Fighting the semantic gap on CBIR systems through new relevance feedback techniques. 2006, Anais.. Los Alamitos: IEEE Computer Society, 2006. . Acesso em: 03 out. 2024. -
APA
Traina, A. J. M., Marques, J., & Traina Junior, C. (2006). Fighting the semantic gap on CBIR systems through new relevance feedback techniques. In Proceedings. Los Alamitos: IEEE Computer Society. -
NLM
Traina AJM, Marques J, Traina Junior C. Fighting the semantic gap on CBIR systems through new relevance feedback techniques. Proceedings. 2006 ;[citado 2024 out. 03 ] -
Vancouver
Traina AJM, Marques J, Traina Junior C. Fighting the semantic gap on CBIR systems through new relevance feedback techniques. Proceedings. 2006 ;[citado 2024 out. 03 ] - 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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