Date of Original Version
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Abstract or Description
We propose a novel recovery algorithm for signals with complex, irregular structure that is commonly represented by graphs. Our approach is a generalization of the signal inpainting technique from classical signal processing. We formulate corresponding minimization problems and demonstrate that in many cases they have closed-form solutions. We discuss a relation of the proposed approach to regression, provide an upper bound on the error for our algorithm and compare the proposed technique with other existing algorithms on real-world datasets
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2014, 8267-8271.