Vieira, Raissa Tavares; Negri, Tamiris Trevisan; Gonzaga, Adilson 
Source: Multimedia Tools and Applications. Unidade: EESC
Subjects: RECONHECIMENTO DE IMAGEM, ENGENHARIA ELÉTRICA
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VIEIRA, Raissa Tavares e NEGRI, Tamiris Trevisan e GONZAGA, Adilson. Improving the classification of rotated images by adding the signal and magnitude information to a local texture descriptor. Multimedia Tools and Applications, 2018Tradução . . Disponível em: https://doi.org/10.1007/s11042-018-6204-1. Acesso em: 11 nov. 2025.APA
Vieira, R. T., Negri, T. T., & Gonzaga, A. (2018). Improving the classification of rotated images by adding the signal and magnitude information to a local texture descriptor. Multimedia Tools and Applications. doi:10.1007/s11042-018-6204-1NLM
Vieira RT, Negri TT, Gonzaga A. Improving the classification of rotated images by adding the signal and magnitude information to a local texture descriptor [Internet]. Multimedia Tools and Applications. 2018 ;[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/s11042-018-6204-1Vancouver
Vieira RT, Negri TT, Gonzaga A. Improving the classification of rotated images by adding the signal and magnitude information to a local texture descriptor [Internet]. Multimedia Tools and Applications. 2018 ;[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/s11042-018-6204-1
