101 citations · 615 across the 44 of their papers we have counts for
1 paper · 2 filters
David Hong, Laura Balzano, Jeffrey A. Fessler
Principal Component Analysis (PCA) is a method for estimating a subspace given noisy samples. It is useful in a variety of problems ranging from dimensionality reduction to anomaly…