18 citations · 33 across the 10 of their papers we have counts for
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cs.CV2018★ 1 cited
Missing Slice Recovery for Tensors Using a Low-rank Model in Embedded Space
Tatsuya Yokota, Burak Erem, Seyhmus Guler +2
Let us consider a case where all of the elements in some continuous slices are missing in tensor data. In this case, the nuclear-norm and total variation regularization methods usu…
cs.CV2018★ 1 cited
Simultaneous Tensor Completion and Denoising by Noise Inequality Constrained Convex Optimization
Tatsuya Yokota, Hidekata Hontani
Tensor completion is a technique of filling missing elements of the incomplete data tensors. It being actively studied based on the convex optimization scheme such as nuclear-norm…