Source: Proceedings. Conference titles: IEEE International Symposium on Multimedia - ISM. Unidade: ICMC
Subjects: BANCO DE DADOS, COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS
ABNT
SANTOS, Lucio F. D et al. Combining diversity queries and visual mining to improve content-based image retrieval systems: the DiVI method. 2015, Anais.. Piscataway: IEEE, 2015. Disponível em: https://doi.org/10.1109/ISM.2015.115. Acesso em: 06 nov. 2024.APA
Santos, L. F. D., Dias, R. L., Ribeiro, M. X., Traina, A. J. M., & Traina Junior, C. (2015). Combining diversity queries and visual mining to improve content-based image retrieval systems: the DiVI method. In Proceedings. Piscataway: IEEE. doi:10.1109/ISM.2015.115NLM
Santos LFD, Dias RL, Ribeiro MX, Traina AJM, Traina Junior C. Combining diversity queries and visual mining to improve content-based image retrieval systems: the DiVI method [Internet]. Proceedings. 2015 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.1109/ISM.2015.115Vancouver
Santos LFD, Dias RL, Ribeiro MX, Traina AJM, Traina Junior C. Combining diversity queries and visual mining to improve content-based image retrieval systems: the DiVI method [Internet]. Proceedings. 2015 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.1109/ISM.2015.115