Multi-tensor completion for estimating missing values in video data

Abstract

Many tensor-based data completion methods aim to solve image and video in-painting problems. But, all methods were only developed for a single dataset. In most of real applications, we can usually obtain more than one dataset to reflect one phenomenon, and all the datasets are mutually related in some sense. Thus one question raised whether such the… (More)
DOI: 10.1109/SCIS-ISIS.2014.7044738

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Cite this paper

@article{Li2014MultitensorCF, title={Multi-tensor completion for estimating missing values in video data}, author={Chao Li and Lili Guo and Andrzej Cichocki}, journal={2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS)}, year={2014}, pages={1339-1342} }