Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images- SIBGRAPI. Unidade: EESC
Subjects: REDES NEURAIS, ILUMINAÇÃO, ALIMENTOS
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FERRAZ, Carolina Toledo et al. Evaluation of convolutional neural networks for raw food texture classification under variations of lighting conditions. 2018, Anais.. Porto Alegre: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2018. Disponível em: https://repositorio.usp.br/directbitstream/b8ee5039-0201-4853-a7af-c70ad283e3c9/sysno3190748_trabalho%2008%20-%20Evaluation%20of%20convolutional%20neural%20networks%20for%20raw%20food%20texture%20classification%20under%20variations%20of%20lighting%20conditions.%20%28SIBGRAPI%2C%202018%29.pdf. Acesso em: 09 maio 2024.APA
Ferraz, C. T., Borges, T. T. N., Cavichiolli, A., Gonzaga, A., & Saito, J. H. (2018). Evaluation of convolutional neural networks for raw food texture classification under variations of lighting conditions. In Proceedings. Porto Alegre: Escola de Engenharia de São Carlos, Universidade de São Paulo. Recuperado de https://repositorio.usp.br/directbitstream/b8ee5039-0201-4853-a7af-c70ad283e3c9/sysno3190748_trabalho%2008%20-%20Evaluation%20of%20convolutional%20neural%20networks%20for%20raw%20food%20texture%20classification%20under%20variations%20of%20lighting%20conditions.%20%28SIBGRAPI%2C%202018%29.pdfNLM
Ferraz CT, Borges TTN, Cavichiolli A, Gonzaga A, Saito JH. Evaluation of convolutional neural networks for raw food texture classification under variations of lighting conditions [Internet]. Proceedings. 2018 ;[citado 2024 maio 09 ] Available from: https://repositorio.usp.br/directbitstream/b8ee5039-0201-4853-a7af-c70ad283e3c9/sysno3190748_trabalho%2008%20-%20Evaluation%20of%20convolutional%20neural%20networks%20for%20raw%20food%20texture%20classification%20under%20variations%20of%20lighting%20conditions.%20%28SIBGRAPI%2C%202018%29.pdfVancouver
Ferraz CT, Borges TTN, Cavichiolli A, Gonzaga A, Saito JH. Evaluation of convolutional neural networks for raw food texture classification under variations of lighting conditions [Internet]. Proceedings. 2018 ;[citado 2024 maio 09 ] Available from: https://repositorio.usp.br/directbitstream/b8ee5039-0201-4853-a7af-c70ad283e3c9/sysno3190748_trabalho%2008%20-%20Evaluation%20of%20convolutional%20neural%20networks%20for%20raw%20food%20texture%20classification%20under%20variations%20of%20lighting%20conditions.%20%28SIBGRAPI%2C%202018%29.pdf
