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Graph Signal Processing for Machine Learning: A Review and New Perspectives.

, , , , and . IEEE Signal Process. Mag., 37 (6): 117-127 (2020)

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Object Shape Approximation & Contour Adaptive Depth Image Coding for Virtual View Synthesis., , , , and . CoRR, (2016)Polynomial Filtering for Fast Convergence in Distributed Consensus., and . IEEE Trans. Signal Process., 57 (1): 342-354 (2009)Distributed Classification of Multiple Observation Sets by Consensus., and . IEEE Trans. Signal Process., 59 (1): 104-114 (2011)Learning of robust spectral graph dictionaries for distributed processing., and . EURASIP J. Adv. Signal Process., (2018)Analysis of classifiers' robustness to adversarial perturbations., , and . Mach. Learn., 107 (3): 481-508 (2018)Geometry-Consistent Light Field Super-Resolution via Graph-Based Regularization., and . IEEE Trans. Image Process., 27 (9): 4207-4218 (2018)Joint Registration and Super-Resolution With Omnidirectional Images., and . IEEE Trans. Image Process., 20 (11): 3151-3162 (2011)A Viewport-Driven Multi-Metric Fusion Approach for 360-Degree Video Quality Assessment., , , , and . ICME, page 1-6. IEEE, (2020)Graph signal processing: Overview, challenges, and applications, , , , and . Proceedings of the IEEE, 106 (5): 808--828 (2018)Correlation-Aware Resource Allocation in Multi-Cell Networks., , and . IEEE Trans. Wirel. Commun., 11 (12): 4438-4445 (2012)