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F. N. Cunha, N. F. Silva, M. B. Teixeira, J. C. Ferreira, M. S. Pais et al., Influ??ncia do declive no custo total de uma rede de irriga????o localizada, Revista Brasileira de Agricultura Irrigada, vol.6, issue.3, pp.247-258, 2012.
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A. Illustration, and the affinity between d l and d i is a * il . The intermediate node d l contributes by the product a l a * il to the overall affinity between y j and d i . The sample d l is just another intermediate node like d l . Summing the affinities via all possible intermediate nodes (i.e., all training samples), p.80

. Butterfly, . Boats, . Cameraman, . House, . Parrot et al., 98 4.11 Test images for denoising, Test images for deblurring: Couple, Fingerprint (F. Print), p.100

.. Boy, Test images for super-resolution: Butterfly, Bike, Hat, Plants, p.123

K. Kmeans-pca, K. Goc-pca, . Goc-sob, and . Goc-pga, ) results for the luminance components of superresolved HR images for different super-resolution scenarios The scenarios are grouped according to the clustering method (K-means and GOC methods), PSNR, p.117

J. C. Ferreira, E. Vural, and C. Guillemot, A Geometry-aware Dictionary Learning Strategy based on Sparse Representations

J. C. Ferreira, E. Vural, and C. Guillemot, Geometry-Aware Neighborhood Search for Learning Local Models for Image Superresolution, IEEE Transactions on Image Processing, vol.25, issue.3, pp.1354-1367, 2016.
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J. C. Ferreira, E. L. Flores, and G. A. Carrijo, Quantization Noise on Image Reconstruction Using Model-Based Compressive Sensing, IEEE Latin America Transactions, vol.13, issue.4, pp.1167-1177, 2015.
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J. C. Ferreira, O. Le-meur, C. Guillemot, E. A. Da-silva, and G. A. Carrijo, Single image super-resolution using sparse representations with structure constraints, 2014 IEEE International Conference on Image Processing (ICIP)
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URL : https://hal.archives-ouvertes.fr/hal-00995052