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Image classification is one of the main research problems in computer vision and machine learning.
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S. Beckouche, J.-L. Starck, and J. Fadili, “Astronomical image denoising using dictionary learning,” Astronomy & Astrophysics , vol. 556, p. A132, 2013
M. Ponti and L. C. Escobar, “Compact color features with bitwise quantization and reduced resolution for mobile processing,” in Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE . IEEE, 2013, pp. 751–754
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W. A. Contato, T. S. Nazare, G. B. Paranhos da Costa, M. Ponti, and J. E. S. Batista Neto, “Improving non-local video denoising with local binary patterns and image quantization,” in Conference on Graphics, Patterns and Images (SIBGRAPI 2016) , 2016
2016
Closest in time.
M. Ponti, E. S. Helou, P. J. S. G. Ferreira, and N. D. A. Mascarenhas, “Image restoration using gradient iteration and constraints for band extrapolation,” IEEE Journal of Selected Topics in Signal Processing , vol. 10, no. 1, pp. 71–80, Feb 2016
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2013
Cited alongside, same era.
Y. Bengio, A. Courville, and P. Vincent, “Representation learning: A review and new perspectives,” Pattern Analysis and Machine Intelligence, IEEE Transactions on , vol. 35, no. 8, pp. 1798–1828, 2013
2013
Cited alongside, same era.
2016
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M. Ponti, T. S. Nazaré, and G. S. Thumé, “Image quantization as a dimensionality reduction procedure in color and texture feature extraction.” Neurocomputing , vol. 173, pp. 385–396, 2016
2016
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S. Dodge and L. Karam, “Understanding how image quality affects deep neural networks,” in 2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX) , Jun. 2016, pp. 1–6
2016
Closest in time.