2 citations · 4 across the 3 of their papers we have counts for
4 papers
Covariance-Generalized Matching Component Analysis for Data Fusion and Transfer Learning
Nick Lorenzo, Sean O'Rourke, Theresa Scarnati
In order to encode additional statistical information in data fusion and transfer learning applications, we introduce a generalized covariance constraint for the matching component…
Empirical Bayesian Inference using Joint Sparsity
Jiahui Zhang, Anne Gelb, Theresa Scarnati
This paper develops a new empirical Bayesian inference algorithm for solving a linear inverse problem given multiple measurement vectors (MMV) of under-sampled and noisy observable…
Accelerated Variance Based Joint Sparsity Recovery of Images from Fourier Data
Theresa Scarnati, Anne Gelb
Several problems in imaging acquire multiple measurement vectors (MMVs) of Fourier samples for the same underlying scene. Image recovery techniques from MMVs aim to exploit the joi…
Matching Component Analysis for Transfer Learning
Charles Clum, Dustin G. Mixon, Theresa Scarnati
We introduce a new Procrustes-type method called matching component analysis to isolate components in data for transfer learning. Our theoretical results describe the sample comple…