CÁCERES WÜRSIG, Ingrid y María Jesús FERNÁNDEZ GIL. 2019. "La traducción literaria a finales del siglo XX y principios del XXI: hacia la disolución de fronteras". Soria: Vertere. Monográficos de la Revista Herm?neus

  • Referencias
  • Cómo citar
  • Del mismo autor
  • Métricas

Atlas Socioeconômico, Brasil, https://atlassocioeconomico.rs.gov.br/bovinos, accessed 8 march 2019.

R. Arnoni. Os Registros e Catálogos de Marcas de Gado da Região Platina. Pelotas: Revista Memória em Rede da UFPEL, 2013.

G. Sanchez, M. Rodriguez. “Cattle Marks Recognition by Hu and Legendre Invariant Moments”. ARPN Journal of Engineering and Applied Sciences, vol. 11, Nº 1, 2016.

C. Silva, D. Welfer, F.P. Gioda, C. Dornelles. “Cattle Brand Recognition using Convolutional Neural Network and Support Vector Machines”. IEEE Latin America Transactions, vol. 15, Nº 2, 2017. DOI: 10.1109/TLA.2017.7854627.

X. X. Niu, C. Y. Suen. “A Novel Hybrid CNN-SVM Classifier for Recognizing Handwritten Digits”. Pattern Recognition, n. 45, p. 1318-1325, 2011. DOI: 10.1016/j.patcog.2011.09.021.

K. Jarret, K. Kavukcuoglu, Y. LeCun. “What Is The Best Multi-Stage Architecture for Object Recognition?”. IEEE 12th International Conference on Computer Vision, p. 2146-2153, 2009. DOI: 10.1109/ICCV.2009.5459469.

G. Juraszek. Reconhecimento de Produtos por Imagem Utilizando Palavras Visuais e Redes Neurais Convolucionais, Joinville: UDESC, 2014.

Y. LeCun, B. Boser, J.S. Denker, D. Henderson, R.E. Howard, W. Hubbard, L.D Jackel. “Handwritten Digit Recognition with a Back-Propagation Network”. In: Advances in Neural Information Processing Systems. [S.l.]: Morgan Kaufmann, p. 396-404, 1990.

D. Ciregan, U. Meier, J. Schmidhuber. “Multi-Columm Deep Neural Networks for Image Classification”. In: Proceedings of the 25th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012), [S.l.: s.n.]. p. 3642-3649, 2012. DOI: 10.1109/CVPR.2012.6248110.

K. Kavukcuoglu, P. Sermanet, Y. Boreau, K. Gregor, M. Mathieu, Y. LeCun. “Learning Convolutional Feature Hierarchies for Visual Recognition”. In: Advances in Neural Information Processing Systems, ed. by J.D Lafferty and C.K.I. Williams and J. Shawe-Taylor and R.S. Zemel and A. Culotta, vol. 23, p. 1090-1098, 2010.

P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, Y. LeCun. “Overfeat: Integrated Recognition, Localization and Detection Using Convolutional Networks”, CoRR, abs/1312.6229, 2013.

A. S. Razavian, H. Azizpour, J. Sullivan, S. Carlsson. “CNN Features Off-the-Shelf: An Astounding Baseline for Recognition”, In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, p. 806-813, 2014. DOI: 10.1109/CVPRW.2014.131.

P. Constante, A. Gordón, O. Chang, E. Pruna, I. Escobar, F. Acuña. “Artificial Vision Techniques for Strawberry’s Industrial Classification”. IEEE Latin America Transactions, vol. 14, Nº 6, 2016. DOI: 10.1109/TLA.2016.7555221.

Vlfeat. Biblioteca Open Source VLFeat, http://www.vlfeat.org/matconvnet/models/beta16/imagenet-caffe-alex.mat, accessed 3 june 2016.

Y. LeCun, K. Kavukcuoglu, C. Farabet. “Convolutional Networks and Applications in Vision”. In: Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on. IEEE, p. 253-256, 2010. DOI: 10.1109/ISCAS.2010.5537907.

I. Arel, D. Rose, T. Karnowski. “Deep Machine Learning - A New Frontier in Artificial Intellingence Research [research frontier]”. Computational Intelligence Magazine, IEEE, v. 5, n. 4, p. 13-18. ISSN 1556-603X, 2010. DOI: 10.1109/MCI.2010.938364.

A. Tchangani. “Support Vector Machines: A Tool for Pattern Recognition and Classification”. Studies in Informatics & Control Journal, 14: 2. 99-109, 2005.

J. Landis, G. Koch. “The Measurement of Observer Agreement for Categorical Data”. International Biometric Society, v.33 n.1, p. 159, 1977. DOI: 10.2307/2529310.

Y. Bengio, A. Courville, V. Vincent. “Representation learning: A review and new perspectives”. IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 35, n. 8, p. 1798-1828, 2013. DOI: 10.1109/TPAMI.2013.50.

G. Hinton. “To Recognize Shapes First Learn to Generate Images”. Progress in Brain Research. Elsevier, v. 165, p. 535-547, 2007. DOI: 10.1016/S0079-6123(06)65034-6.

M. Zeiler, R. Fergus. “Visualizing and Understanding Convolutional Networks”. European Conference on Computer Vision. Springer, p. 818 - 833, 2014. DOI: 10.1007/978-3-319-10590-1_53.

Rodríguez Arcos, I. (2020). CÁCERES WÜRSIG, Ingrid y María Jesús FERNÁNDEZ GIL. 2019. "La traducción literaria a finales del siglo XX y principios del XXI: hacia la disolución de fronteras". Soria: Vertere. Monográficos de la Revista Herm?neus. CLINA Revista Interdisciplinaria De Traducción Interpretación Y Comunicación Intercultural, 6(1), 185–188. https://doi.org/10.14201/clina202061185188

Downloads

Download data is not yet available.

Author Biography

Irene Rodríguez Arcos

,
Universidad Europea del Atlántico
Profesora doctora. Departamento de Traducción e Interpretación y Lenguas Aplicadas de la Universidad Europea del Atlántico (Santander).
+