Optimal Low-Rank Tensor Recovery from Separable Measurements: Four Contractions Suffice
CoRR, Volume abs/1505.04085, 2015.
Tensors play a central role in many modern machine learning and signal processing applications. In such applications, the target tensor is usually of low rank, i.e., can be expressed as a sum of a small number of rank one tensors. This motivates us to consider the problem of low rank tensor recovery from a class of linear measurements c...More
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