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Covariance-Generalized Matching Component Analysis for Data Fusion and Transfer Learning
In order to encode additional statistical information in data fusion and transfer learning applications, we introduce a generalized covariance constraint for the matching component analysis (MCA) transfer learning technique.
Matrices with Gaussian noise: optimal estimates for singular subspace perturbation
In this paper, we prove a stochastic version of the Davis-Kahan-Wedin $\sin \Theta$ theorem when the perturbation is a Gaussian random matrix.
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