Aggregate similarity queries in relevance feedback methods for content-based image retrieval (2008)
- Authors:
- USP affiliated authors: TRAINA, AGMA JUCI MACHADO - ICMC ; TRAINA JUNIOR, CAETANO - ICMC
- Unidade: ICMC
- Subjects: COMPUTAÇÃO GRÁFICA; PROCESSAMENTO DE IMAGENS; BANCO DE DADOS
- Language: Inglês
- Imprenta:
- ISBN: 1595937537
- Source:
- Título: Proceedings
- Conference titles: Annual ACM Symposium on Applied Computing
-
ABNT
RAZENTE, Humberto Luiz et al. Aggregate similarity queries in relevance feedback methods for content-based image retrieval. 2008, Anais.. New York: ACM, 2008. . Acesso em: 29 dez. 2025. -
APA
Razente, H. L., Barioni, M. C. N., Traina, A. J. M., & Traina Junior, C. (2008). Aggregate similarity queries in relevance feedback methods for content-based image retrieval. In Proceedings. New York: ACM. -
NLM
Razente HL, Barioni MCN, Traina AJM, Traina Junior C. Aggregate similarity queries in relevance feedback methods for content-based image retrieval. Proceedings. 2008 ;[citado 2025 dez. 29 ] -
Vancouver
Razente HL, Barioni MCN, Traina AJM, Traina Junior C. Aggregate similarity queries in relevance feedback methods for content-based image retrieval. Proceedings. 2008 ;[citado 2025 dez. 29 ] - Exploring diversified similarity with Kundaha
- Upgraded SemIndex prototype supporting intelligent database keyword queries through disambiguation, query as you type, and parallel search algorithms
- Content-based image retrieval using approximate shape of objects
- Distance functions association for content-based image retrieval using multiple comparison criteria
- DBM-tree
- An effective cost model for similarity queries in metric spaces
- Visually interacting with k-medoid-based algorithms
- BREATH: heat maps assisting the detection of abnormal lung regions in CT Scans
- Support to content-based image query in object-oriented databases
- Efficient bulk-loading on dynamic metric access methods
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
