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Multilinear subspace learning

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Multilinear subspace learning

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Multilinear Low-Rank Tensors on Graphs & Applications

MATHICSE Technical Report : Perturbation of higher-order singular values

Low-Rank Representation of Nearest Neighbor Phone Posterior Probabilities to Enhance DNN Acoustic Modeling

MATHICSE Technical Report : Multigrid methods combined with low-rank approximation for tensor structured Markov chains

Sparse Subspace Modeling for Query by Example Spoken Term Detection

Subspace Acceleration For Large-Scale Parameter-Dependent Hermitian Eigenproblems

Exploiting Low-dimensional Structures to Enhance DNN based Acoustic Modeling in Speech Recognition

Finding Steady States of Communicating Markov Processes Combining Aggregation/Disaggregation with Tensor Techniques

MATHICSE Technical Report: Reduced basis methods: from low-rank matrices to low-rank tensor

Graph Embedded Nonparametric Mutual Information For Supervised Dimensionality Reduction