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
nontrivial 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 …

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 …