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A Time-aware tensor decomposition for tracking evolving patterns
Time-evolving data sets can often be arranged as a higher-order tensor with one of the modes being the time mode.
A weighted subspace exponential kernel for support tensor machines
High-dimensional data in the form of tensors are challenging for kernel classification methods.
Learning Paths from Signature Tensors
Given a tensor in the orbit of another tensor, we compute a matrix which transforms one to the other.
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