Adaptive Algorithms for Tracking Tensor-Train Decomposition of Streaming Tensors
Adaptive Algorithms for Tracking Tensor-Train Decomposition of Streaming Tensors
Tensor-train (TT) decomposition has been an efficient tool to find low order approximation of large-scale, high-order tensors. Existing TT decomposition algorithms are either of high computational complexity or operating in batch-mode, hence quite inefficient for (near) real-time processing. In this paper, we propose a novel adaptive algorithm for TT decomposition …