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ABNT
DALAPICOLA, Rodolfo Coelho et al. Impact of facial expressions on the accuracy of a CNN performing periocular recognition. 2019, Anais.. Piscataway, NJ, USA: IEEE, 2019. Disponível em: https://doi.org/10.1109/BRACIS.2019.00077. Acesso em: 19 jul. 2024.
APA
Dalapicola, R. C., Queiroga, R. T. V., Ferraz, C. T., Borges, T. T. N., Saito, J. H., & Gonzaga, A. (2019). Impact of facial expressions on the accuracy of a CNN performing periocular recognition. In Proceedings. Piscataway, NJ, USA: IEEE. doi:10.1109/BRACIS.2019.00077
NLM
Dalapicola RC, Queiroga RTV, Ferraz CT, Borges TTN, Saito JH, Gonzaga A. Impact of facial expressions on the accuracy of a CNN performing periocular recognition [Internet]. Proceedings. 2019 ;[citado 2024 jul. 19 ] Available from: https://doi.org/10.1109/BRACIS.2019.00077
Vancouver
Dalapicola RC, Queiroga RTV, Ferraz CT, Borges TTN, Saito JH, Gonzaga A. Impact of facial expressions on the accuracy of a CNN performing periocular recognition [Internet]. Proceedings. 2019 ;[citado 2024 jul. 19 ] Available from: https://doi.org/10.1109/BRACIS.2019.00077
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARCELLOS, William et al. Evaluation of fine tuning and feature extraction methods in biometric periocular recognition. 2019, Anais.. Porto Alegre, RS: SBC, 2019. . Acesso em: 19 jul. 2024.
APA
Barcellos, W., Shitara, N. H., Ferraz, C. T., Queiroga, R. T. V., Saito, J. H., & Gonzaga, A. (2019). Evaluation of fine tuning and feature extraction methods in biometric periocular recognition. In Proceedings. Porto Alegre, RS: SBC.
NLM
Barcellos W, Shitara NH, Ferraz CT, Queiroga RTV, Saito JH, Gonzaga A. Evaluation of fine tuning and feature extraction methods in biometric periocular recognition. Proceedings. 2019 ;[citado 2024 jul. 19 ]
Vancouver
Barcellos W, Shitara NH, Ferraz CT, Queiroga RTV, Saito JH, Gonzaga A. Evaluation of fine tuning and feature extraction methods in biometric periocular recognition. Proceedings. 2019 ;[citado 2024 jul. 19 ]
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 19 jul. 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.pdf
NLM
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 jul. 19 ] 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
Vancouver
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 jul. 19 ] 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Jones Mendonça de e GONZAGA, Adilson. Biometric iris classification when the eye’s pupil reacts to light. 2018, Anais.. Natal: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2018. Disponível em: https://repositorio.usp.br/directbitstream/bcafa583-8861-49a2-a263-539ad1967f42/sysno3190684_trabalho%2014%20-%20Biometric%20iris%20classification%20when%20the%20eye%E2%80%99s%20pupil%20reacts%20to%20light.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202017%29.pdf. Acesso em: 19 jul. 2024.
APA
Souza, J. M. de, & Gonzaga, A. (2018). Biometric iris classification when the eye’s pupil reacts to light. In Anais. Natal: Escola de Engenharia de São Carlos, Universidade de São Paulo. Recuperado de https://repositorio.usp.br/directbitstream/bcafa583-8861-49a2-a263-539ad1967f42/sysno3190684_trabalho%2014%20-%20Biometric%20iris%20classification%20when%20the%20eye%E2%80%99s%20pupil%20reacts%20to%20light.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202017%29.pdf
NLM
Souza JM de, Gonzaga A. Biometric iris classification when the eye’s pupil reacts to light [Internet]. Anais. 2018 ;[citado 2024 jul. 19 ] Available from: https://repositorio.usp.br/directbitstream/bcafa583-8861-49a2-a263-539ad1967f42/sysno3190684_trabalho%2014%20-%20Biometric%20iris%20classification%20when%20the%20eye%E2%80%99s%20pupil%20reacts%20to%20light.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202017%29.pdf
Vancouver
Souza JM de, Gonzaga A. Biometric iris classification when the eye’s pupil reacts to light [Internet]. Anais. 2018 ;[citado 2024 jul. 19 ] Available from: https://repositorio.usp.br/directbitstream/bcafa583-8861-49a2-a263-539ad1967f42/sysno3190684_trabalho%2014%20-%20Biometric%20iris%20classification%20when%20the%20eye%E2%80%99s%20pupil%20reacts%20to%20light.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202017%29.pdf
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FACCINI, Fábio Augusto Gonçalves e GONZAGA, Adilson. Accuracy performance evaluation of a CNN for classifying images corrupted by noise. 2018, Anais.. [S.l.]: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2018. Disponível em: https://repositorio.usp.br/directbitstream/7ea2a591-6cc2-40e3-960d-4dbcc8c16778/sysno3190572_trabalho%2007%20-%20Accuracy%20performance%20evaluation%20of%20a%20CNN%20for%20classifying%20images%20corrupted%20by%20noise.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202018%29.pdf. Acesso em: 19 jul. 2024.
APA
Faccini, F. A. G., & Gonzaga, A. (2018). Accuracy performance evaluation of a CNN for classifying images corrupted by noise. In Anais. Escola de Engenharia de São Carlos, Universidade de São Paulo. Recuperado de https://repositorio.usp.br/directbitstream/7ea2a591-6cc2-40e3-960d-4dbcc8c16778/sysno3190572_trabalho%2007%20-%20Accuracy%20performance%20evaluation%20of%20a%20CNN%20for%20classifying%20images%20corrupted%20by%20noise.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202018%29.pdf
NLM
Faccini FAG, Gonzaga A. Accuracy performance evaluation of a CNN for classifying images corrupted by noise [Internet]. Anais. 2018 ;[citado 2024 jul. 19 ] Available from: https://repositorio.usp.br/directbitstream/7ea2a591-6cc2-40e3-960d-4dbcc8c16778/sysno3190572_trabalho%2007%20-%20Accuracy%20performance%20evaluation%20of%20a%20CNN%20for%20classifying%20images%20corrupted%20by%20noise.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202018%29.pdf
Vancouver
Faccini FAG, Gonzaga A. Accuracy performance evaluation of a CNN for classifying images corrupted by noise [Internet]. Anais. 2018 ;[citado 2024 jul. 19 ] Available from: https://repositorio.usp.br/directbitstream/7ea2a591-6cc2-40e3-960d-4dbcc8c16778/sysno3190572_trabalho%2007%20-%20Accuracy%20performance%20evaluation%20of%20a%20CNN%20for%20classifying%20images%20corrupted%20by%20noise.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202018%29.pdf
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOURO, Antonio H. F. e GONZAGA, Adilson. Detection of curvatures in the retina. Would it be possible? 2018, Anais.. [S.l.]: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2018. Disponível em: https://repositorio.usp.br/directbitstream/0436d70e-ea7a-4e4c-8a72-4fc9a10cb815/sysno3190605_trabalho%2006%20-%20Detection%20of%20Curvatures%20in%20the%20Retina.%20Would%20it%20be%20Possible.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202018%29.pdf. Acesso em: 19 jul. 2024.
APA
Louro, A. H. F., & Gonzaga, A. (2018). Detection of curvatures in the retina. Would it be possible? In Anais. Escola de Engenharia de São Carlos, Universidade de São Paulo. Recuperado de https://repositorio.usp.br/directbitstream/0436d70e-ea7a-4e4c-8a72-4fc9a10cb815/sysno3190605_trabalho%2006%20-%20Detection%20of%20Curvatures%20in%20the%20Retina.%20Would%20it%20be%20Possible.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202018%29.pdf
NLM
Louro AHF, Gonzaga A. Detection of curvatures in the retina. Would it be possible? [Internet]. Anais. 2018 ;[citado 2024 jul. 19 ] Available from: https://repositorio.usp.br/directbitstream/0436d70e-ea7a-4e4c-8a72-4fc9a10cb815/sysno3190605_trabalho%2006%20-%20Detection%20of%20Curvatures%20in%20the%20Retina.%20Would%20it%20be%20Possible.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202018%29.pdf
Vancouver
Louro AHF, Gonzaga A. Detection of curvatures in the retina. Would it be possible? [Internet]. Anais. 2018 ;[citado 2024 jul. 19 ] Available from: https://repositorio.usp.br/directbitstream/0436d70e-ea7a-4e4c-8a72-4fc9a10cb815/sysno3190605_trabalho%2006%20-%20Detection%20of%20Curvatures%20in%20the%20Retina.%20Would%20it%20be%20Possible.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202018%29.pdf
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NEGRI, Tamiris Trevisan e VIEIRA, Raissa Tavares e GONZAGA, Adilson. Color texture classification by using opponent color and local mapped pattern. 2018, Anais.. Natal: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2018. Disponível em: https://repositorio.usp.br/directbitstream/eb0f6b63-35ec-4d9b-a57e-1bbe4d4827eb/sysno3190678_trabalho%2015%20-%20Color%20Texture%20Classification%20by%20using%20Opponent%20Color%20and%20Local%20Mapped%20Pattern.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202017%29%20%281%29.pdf. Acesso em: 19 jul. 2024.
APA
Negri, T. T., Vieira, R. T., & Gonzaga, A. (2018). Color texture classification by using opponent color and local mapped pattern. In Anais. Natal: Escola de Engenharia de São Carlos, Universidade de São Paulo. Recuperado de https://repositorio.usp.br/directbitstream/eb0f6b63-35ec-4d9b-a57e-1bbe4d4827eb/sysno3190678_trabalho%2015%20-%20Color%20Texture%20Classification%20by%20using%20Opponent%20Color%20and%20Local%20Mapped%20Pattern.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202017%29%20%281%29.pdf
NLM
Negri TT, Vieira RT, Gonzaga A. Color texture classification by using opponent color and local mapped pattern [Internet]. Anais. 2018 ;[citado 2024 jul. 19 ] Available from: https://repositorio.usp.br/directbitstream/eb0f6b63-35ec-4d9b-a57e-1bbe4d4827eb/sysno3190678_trabalho%2015%20-%20Color%20Texture%20Classification%20by%20using%20Opponent%20Color%20and%20Local%20Mapped%20Pattern.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202017%29%20%281%29.pdf
Vancouver
Negri TT, Vieira RT, Gonzaga A. Color texture classification by using opponent color and local mapped pattern [Internet]. Anais. 2018 ;[citado 2024 jul. 19 ] Available from: https://repositorio.usp.br/directbitstream/eb0f6b63-35ec-4d9b-a57e-1bbe4d4827eb/sysno3190678_trabalho%2015%20-%20Color%20Texture%20Classification%20by%20using%20Opponent%20Color%20and%20Local%20Mapped%20Pattern.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202017%29%20%281%29.pdf
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MORAES, Diego Rafael e GONZAGA, Adilson. Multi-class segmentation of satellite images by color mixture and neural network. 2018, Anais.. Natal: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2018. Disponível em: https://repositorio.usp.br/directbitstream/fc0a6432-b78d-44db-9a26-46d594f402c7/sysno3190685_trabalho%2013%20-%20Multi-class%20Segmentation%20of%20Satellite%20Images%20by%20Color%20Mixture%20and%20Neural%20Network.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202017%29%20%281%29.pdf. Acesso em: 19 jul. 2024.
APA
Moraes, D. R., & Gonzaga, A. (2018). Multi-class segmentation of satellite images by color mixture and neural network. In Anais. Natal: Escola de Engenharia de São Carlos, Universidade de São Paulo. Recuperado de https://repositorio.usp.br/directbitstream/fc0a6432-b78d-44db-9a26-46d594f402c7/sysno3190685_trabalho%2013%20-%20Multi-class%20Segmentation%20of%20Satellite%20Images%20by%20Color%20Mixture%20and%20Neural%20Network.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202017%29%20%281%29.pdf
NLM
Moraes DR, Gonzaga A. Multi-class segmentation of satellite images by color mixture and neural network [Internet]. Anais. 2018 ;[citado 2024 jul. 19 ] Available from: https://repositorio.usp.br/directbitstream/fc0a6432-b78d-44db-9a26-46d594f402c7/sysno3190685_trabalho%2013%20-%20Multi-class%20Segmentation%20of%20Satellite%20Images%20by%20Color%20Mixture%20and%20Neural%20Network.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202017%29%20%281%29.pdf
Vancouver
Moraes DR, Gonzaga A. Multi-class segmentation of satellite images by color mixture and neural network [Internet]. Anais. 2018 ;[citado 2024 jul. 19 ] Available from: https://repositorio.usp.br/directbitstream/fc0a6432-b78d-44db-9a26-46d594f402c7/sysno3190685_trabalho%2013%20-%20Multi-class%20Segmentation%20of%20Satellite%20Images%20by%20Color%20Mixture%20and%20Neural%20Network.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202017%29%20%281%29.pdf
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NEGRI, Tamiris Trevisan et al. A robust descriptor for color texture classification under varying illumination. 2018, Anais.. Setúbal: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2018. Disponível em: http://dx.doi.org/10.5220/0006143403780388. Acesso em: 19 jul. 2024.
APA
Negri, T. T., Zhou, F., Obradovic, Z., & Gonzaga, A. (2018). A robust descriptor for color texture classification under varying illumination. In Proceedings, v. 4. Setúbal: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.5220/0006143403780388
NLM
Negri TT, Zhou F, Obradovic Z, Gonzaga A. A robust descriptor for color texture classification under varying illumination [Internet]. Proceedings, v. 4. 2018 ;[citado 2024 jul. 19 ] Available from: http://dx.doi.org/10.5220/0006143403780388
Vancouver
Negri TT, Zhou F, Obradovic Z, Gonzaga A. A robust descriptor for color texture classification under varying illumination [Internet]. Proceedings, v. 4. 2018 ;[citado 2024 jul. 19 ] Available from: http://dx.doi.org/10.5220/0006143403780388
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VIEIRA, Raissa Tavares et al. Human epithelial type 2 cell classification using a multiresolution texture descriptor. 2018, Anais.. Danvers, MA: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2018. Disponível em: http://dx.doi.org/10.1109/WVC.2017.00008. Acesso em: 19 jul. 2024.
APA
Vieira, R. T., Negri, T. T., Cavichiolli, A., & Gonzaga, A. (2018). Human epithelial type 2 cell classification using a multiresolution texture descriptor. In Proceedings. Danvers, MA: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1109/WVC.2017.00008
NLM
Vieira RT, Negri TT, Cavichiolli A, Gonzaga A. Human epithelial type 2 cell classification using a multiresolution texture descriptor [Internet]. Proceedings. 2018 ;[citado 2024 jul. 19 ] Available from: http://dx.doi.org/10.1109/WVC.2017.00008
Vancouver
Vieira RT, Negri TT, Cavichiolli A, Gonzaga A. Human epithelial type 2 cell classification using a multiresolution texture descriptor [Internet]. Proceedings. 2018 ;[citado 2024 jul. 19 ] Available from: http://dx.doi.org/10.1109/WVC.2017.00008
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERRAZ, Carolina Toledo e MANZATO, Marcelo Garcia e GONZAGA, Adilson. Face classification using a new local texture descriptor. 2017, Anais.. New York: ACM, 2017. Disponível em: https://doi.org/10.1145/3126858.3131584. Acesso em: 19 jul. 2024.
APA
Ferraz, C. T., Manzato, M. G., & Gonzaga, A. (2017). Face classification using a new local texture descriptor. In Proceedings. New York: ACM. doi:10.1145/3126858.3131584
NLM
Ferraz CT, Manzato MG, Gonzaga A. Face classification using a new local texture descriptor [Internet]. Proceedings. 2017 ;[citado 2024 jul. 19 ] Available from: https://doi.org/10.1145/3126858.3131584
Vancouver
Ferraz CT, Manzato MG, Gonzaga A. Face classification using a new local texture descriptor [Internet]. Proceedings. 2017 ;[citado 2024 jul. 19 ] Available from: https://doi.org/10.1145/3126858.3131584
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Helder Cesar Rodrigues de et al. Detection of architectural distortion in digitized screen-film mammograms using texture descriptors. 2016, Anais.. Campo Grande, MS: UCDB, 2016. . Acesso em: 19 jul. 2024.
APA
Oliveira, H. C. R. de, Moraes, D. R., Gonzaga, A., & Vieira, M. A. da C. (2016). Detection of architectural distortion in digitized screen-film mammograms using texture descriptors. In Proceedings. Campo Grande, MS: UCDB.
NLM
Oliveira HCR de, Moraes DR, Gonzaga A, Vieira MA da C. Detection of architectural distortion in digitized screen-film mammograms using texture descriptors. Proceedings. 2016 ;[citado 2024 jul. 19 ]
Vancouver
Oliveira HCR de, Moraes DR, Gonzaga A, Vieira MA da C. Detection of architectural distortion in digitized screen-film mammograms using texture descriptors. Proceedings. 2016 ;[citado 2024 jul. 19 ]
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MORAES, Diego Rafael e CASATI, João Paulo Brognoni e GONZAGA, Adilson. Human skin segmentation based on color mixture and artificial neural networks. 2016, Anais.. Campo Grande, MS: UCDB, 2016. . Acesso em: 19 jul. 2024.
APA
Moraes, D. R., Casati, J. P. B., & Gonzaga, A. (2016). Human skin segmentation based on color mixture and artificial neural networks. In Proceedings. Campo Grande, MS: UCDB.
NLM
Moraes DR, Casati JPB, Gonzaga A. Human skin segmentation based on color mixture and artificial neural networks. Proceedings. 2016 ;[citado 2024 jul. 19 ]
Vancouver
Moraes DR, Casati JPB, Gonzaga A. Human skin segmentation based on color mixture and artificial neural networks. Proceedings. 2016 ;[citado 2024 jul. 19 ]
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERRAZ, Carolina Toledo e MANZATO, Marcelo Garcia e GONZAGA, Adilson. Complex indoor scene classification based on a new feature descriptor. 2016, Anais.. Talca, Chile: Universidad Catolica Del Maule, 2016. Disponível em: https://doi.org/10.1049/ic.2016.0027. Acesso em: 19 jul. 2024.
APA
Ferraz, C. T., Manzato, M. G., & Gonzaga, A. (2016). Complex indoor scene classification based on a new feature descriptor. In Anais. Talca, Chile: Universidad Catolica Del Maule. doi:10.1049/ic.2016.0027
NLM
Ferraz CT, Manzato MG, Gonzaga A. Complex indoor scene classification based on a new feature descriptor [Internet]. Anais. 2016 ;[citado 2024 jul. 19 ] Available from: https://doi.org/10.1049/ic.2016.0027
Vancouver
Ferraz CT, Manzato MG, Gonzaga A. Complex indoor scene classification based on a new feature descriptor [Internet]. Anais. 2016 ;[citado 2024 jul. 19 ] Available from: https://doi.org/10.1049/ic.2016.0027
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VIEIRA, Raissa Tavares e GONZAGA, Adilson. Evaluation of robustness against interpolation methods of texture descriptors in image classification. 2016, Anais.. Campo Grande, MS: UCDB, 2016. . Acesso em: 19 jul. 2024.
APA
Vieira, R. T., & Gonzaga, A. (2016). Evaluation of robustness against interpolation methods of texture descriptors in image classification. In Proceedings. Campo Grande, MS: UCDB.
NLM
Vieira RT, Gonzaga A. Evaluation of robustness against interpolation methods of texture descriptors in image classification. Proceedings. 2016 ;[citado 2024 jul. 19 ]
Vancouver
Vieira RT, Gonzaga A. Evaluation of robustness against interpolation methods of texture descriptors in image classification. Proceedings. 2016 ;[citado 2024 jul. 19 ]
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VIEIRA, Raissa Tavares e NEGRI, Tamiris Trevisan e GONZAGA, Adilson. Robustness of rotation invariant descriptors for texture classification. 2016, Anais.. Cham: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2016. Disponível em: http://dx.doi.org/10.1007/978-3-319-50835-1_25. Acesso em: 19 jul. 2024.
APA
Vieira, R. T., Negri, T. T., & Gonzaga, A. (2016). Robustness of rotation invariant descriptors for texture classification. In Proceedings, Part I. Cham: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-319-50835-1_25
NLM
Vieira RT, Negri TT, Gonzaga A. Robustness of rotation invariant descriptors for texture classification [Internet]. Proceedings, Part I. 2016 ;[citado 2024 jul. 19 ] Available from: http://dx.doi.org/10.1007/978-3-319-50835-1_25
Vancouver
Vieira RT, Negri TT, Gonzaga A. Robustness of rotation invariant descriptors for texture classification [Internet]. Proceedings, Part I. 2016 ;[citado 2024 jul. 19 ] Available from: http://dx.doi.org/10.1007/978-3-319-50835-1_25
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NEGRI, Tamiris Trevisan e GONZAGA, Adilson. Color texture classification by a local multiscale descriptor. 2015, Anais.. Porto Alegre, RS: SBC, 2015. Disponível em: https://repositorio.usp.br/directbitstream/aa1d468a-61b2-484e-b266-e68e1f1f7ea5/Tamiris_wvc15.pdf. Acesso em: 19 jul. 2024.
APA
Negri, T. T., & Gonzaga, A. (2015). Color texture classification by a local multiscale descriptor. In Proceedings. Porto Alegre, RS: SBC. Recuperado de https://repositorio.usp.br/directbitstream/aa1d468a-61b2-484e-b266-e68e1f1f7ea5/Tamiris_wvc15.pdf
NLM
Negri TT, Gonzaga A. Color texture classification by a local multiscale descriptor [Internet]. Proceedings. 2015 ;[citado 2024 jul. 19 ] Available from: https://repositorio.usp.br/directbitstream/aa1d468a-61b2-484e-b266-e68e1f1f7ea5/Tamiris_wvc15.pdf
Vancouver
Negri TT, Gonzaga A. Color texture classification by a local multiscale descriptor [Internet]. Proceedings. 2015 ;[citado 2024 jul. 19 ] Available from: https://repositorio.usp.br/directbitstream/aa1d468a-61b2-484e-b266-e68e1f1f7ea5/Tamiris_wvc15.pdf
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Jones Mendonça de e VIEIRA, Raissa Tavares e GONZAGA, Adilson. Analysis of iris texture under pupil contraction/dilation for biometric recognition. 2015, Anais.. Porto Alegre, RS: SBC, 2015. Disponível em: https://repositorio.usp.br/directbitstream/1dbdfd85-a663-43f8-9c5a-3bfc8cde10cb/Jones-WVC_2015.pdf. Acesso em: 19 jul. 2024.
APA
Souza, J. M. de, Vieira, R. T., & Gonzaga, A. (2015). Analysis of iris texture under pupil contraction/dilation for biometric recognition. In Proceedings. Porto Alegre, RS: SBC. Recuperado de https://repositorio.usp.br/directbitstream/1dbdfd85-a663-43f8-9c5a-3bfc8cde10cb/Jones-WVC_2015.pdf
NLM
Souza JM de, Vieira RT, Gonzaga A. Analysis of iris texture under pupil contraction/dilation for biometric recognition [Internet]. Proceedings. 2015 ;[citado 2024 jul. 19 ] Available from: https://repositorio.usp.br/directbitstream/1dbdfd85-a663-43f8-9c5a-3bfc8cde10cb/Jones-WVC_2015.pdf
Vancouver
Souza JM de, Vieira RT, Gonzaga A. Analysis of iris texture under pupil contraction/dilation for biometric recognition [Internet]. Proceedings. 2015 ;[citado 2024 jul. 19 ] Available from: https://repositorio.usp.br/directbitstream/1dbdfd85-a663-43f8-9c5a-3bfc8cde10cb/Jones-WVC_2015.pdf
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERRAZ, Carolina Toledo e PEREIRA JUNIOR, Osmando e GONZAGA, Adilson. Feature description based on center-symmetric local mapped patterns. 2014, Anais.. Stoughton: Printing House/ACM, 2014. . Acesso em: 19 jul. 2024.
APA
Ferraz, C. T., Pereira Junior, O., & Gonzaga, A. (2014). Feature description based on center-symmetric local mapped patterns. In Proceedings. Stoughton: Printing House/ACM.
NLM
Ferraz CT, Pereira Junior O, Gonzaga A. Feature description based on center-symmetric local mapped patterns. Proceedings. 2014 ;[citado 2024 jul. 19 ]
Vancouver
Ferraz CT, Pereira Junior O, Gonzaga A. Feature description based on center-symmetric local mapped patterns. Proceedings. 2014 ;[citado 2024 jul. 19 ]