Involving users in the gestural language definition process for the NInA framework (2013)
- Authors:
- USP affiliated authors: OLIVEIRA, WILLIAN DENER DE - ICMC ; TRAINA JUNIOR, CAETANO - ICMC ; TRAINA, AGMA JUCI MACHADO - ICMC
- Unidade: ICMC
- Subjects: COMPUTAÇÃO GRÁFICA; PROCESSAMENTO DE IMAGENS; BANCO DE DADOS
- Language: Inglês
- Imprenta:
- Publisher: SBC
- Publisher place: Porto Alegre
- Date published: 2013
- Source:
- Título do periódico: Proceedings
- ISSN: 2316-5138
- Conference titles: Brazilian Symposium on Human Factors in Computing Systems - IHC
-
ABNT
ROMANI, Luciana A. S et al. Involving users in the gestural language definition process for the NInA framework. 2013, Anais.. Porto Alegre: SBC, 2013. . Acesso em: 25 set. 2024. -
APA
Romani, L. A. S., Chino, D. Y. T., Avalhais, L. P. S., Oliveira, W. D. de, Gonçalves, R. R. V., Traina Junior, C., & Traina, A. J. M. (2013). Involving users in the gestural language definition process for the NInA framework. In Proceedings. Porto Alegre: SBC. -
NLM
Romani LAS, Chino DYT, Avalhais LPS, Oliveira WD de, Gonçalves RRV, Traina Junior C, Traina AJM. Involving users in the gestural language definition process for the NInA framework. Proceedings. 2013 ;[citado 2024 set. 25 ] -
Vancouver
Romani LAS, Chino DYT, Avalhais LPS, Oliveira WD de, Gonçalves RRV, Traina Junior C, Traina AJM. Involving users in the gestural language definition process for the NInA framework. Proceedings. 2013 ;[citado 2024 set. 25 ] - A 'wider' concept for similarity joins
- Diversity in similarity joins
- The NinA framework: using gesture to improve interaction and collaboration in geographical information systems
- Self similarity wide-joins for near-duplicate image detection
- Combine-and-conquer: improving the diversity in similarity search through influence sampling
- Parameter-free and domain-independent similarity search with diversity
- Similarity joins and beyond: an extended set of binary operators with order
- Embedding k-nearest neighbor queries into relational database management systems
- Efficient self-similarity range wide-joins fostering near-duplicate image detection in emergency scenarios
- Efficiently indexing multiple repositories of medical image databases
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