Evaluating deep convolutional neural networks as texture feature extractors (2019)
Source: Lecture Notes in Computer Science - LNCS. Conference titles: International Conference on Image Analysis and Processing- ICIAP. Unidades: IFSC, ICMC
Subjects: RECONHECIMENTO DE PADRÕES, REDES NEURAIS, VISÃO COMPUTACIONAL
ABNT
SCABINI, Leonardo Felipe dos Santos et al. Evaluating deep convolutional neural networks as texture feature extractors. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-030-30645-8_18. Acesso em: 14 nov. 2024. , 2019APA
Scabini, L. F. dos S., Condori, R. H. M., Ribas, L. C., & Bruno, O. M. (2019). Evaluating deep convolutional neural networks as texture feature extractors. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. doi:10.1007/978-3-030-30645-8_18NLM
Scabini LF dos S, Condori RHM, Ribas LC, Bruno OM. Evaluating deep convolutional neural networks as texture feature extractors [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11752 192-202.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/978-3-030-30645-8_18Vancouver
Scabini LF dos S, Condori RHM, Ribas LC, Bruno OM. Evaluating deep convolutional neural networks as texture feature extractors [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11752 192-202.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/978-3-030-30645-8_18