2022
DOI: 10.36227/techrxiv.20105966.v2
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A Contemporary and Comprehensive Survey on Streaming Tensor Decomposition

Abstract: <p>Tensor decomposition has been demonstrated to be successful in a wide range of applications, from neuroscience and wireless communications to social networks. In an online setting, factorizing tensors derived from multidimensional data streams is however non-trivial due to several inherent problems of real-time stream processing. In recent years, many research efforts have been dedicated to developing online techniques for decomposing such tensors, resulting in significant advances in streaming tensor… Show more

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