HyperNTF: A Hypergraph Regularized Nonnegative Tensor Factorization for Dimensionality Reduction. (arXiv:2101.06827v3 [cs.LG] UPDATED)

Tensor decomposition is an effective tool for learning multi-way structures
and heterogeneous features from high-dimensional data, such as the multi-view
images and multichannel electroencephalography (EEG) signals, are often
represented by tensors. However, most of tensor decomposition methods are the
linear feature extraction techniques, which are unable to reveal the nonlinear
structure within high-dimensional data. To address such problem, a lot of
algorithms have been proposed for simultaneously performs linear and non-linear
feature extraction. A representative algorithm is the Graph Regularized …

arxiv dimensionality factorization hypergraph lg tensor