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Multilinear subspace learning

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Multilinear subspace learning

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On the Optimality of Operator-Like Wavelets for Sparse AR(1) Processes

Classification of unions of subspaces with sparse representations

Low-rank Matrix Approximation Using Point-wise Operators

Using sketch-map coordinates to analyze and bias molecular dynamics simulations

Multi-Way Compressed Sensing for Sparse Low-Rank Tensors

Multiple Object Tracking via Prediction and Filtering with a Sobolev-Type Metric on Curves

Signal fluctuations in fMRI data acquired with 2D-EPI and 3D-EPI at 7 Tesla

Nonlocal Means With Dimensionality Reduction and SURE-Based Parameter Selection

Compressed classification of observation sets with linear subspace embeddings

Linear Manifold Approximation based on Differences of Tangents