Efficient Orthogonal Tensor Decomposition, with an Application to Latent Variable Model Learning

12 Sep 2013Franz J. Király

Decomposing tensors into orthogonal factors is a well-known task in statistics, machine learning, and signal processing. We study orthogonal outer product decompositions where the factors in the summands in the decomposition are required to be orthogonal across summands, by relating this orthogonal decomposition to the singular value decompositions of the flattenings... (read more)

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