4 citations · 4 across the 1 of their papers we have counts for
2 papers
stat.ML2026★ 4 cited
ALPCAH: Subspace Learning for Sample-wise Heteroscedastic Data
Javier Salazar Cavazos, Jeffrey A. Fessler, Laura Balzano
Principal component analysis (PCA) is a key tool in the field of data dimensionality reduction. However, some applications involve heterogeneous data that vary in quality due to no…
stat.ML2026
ALPCAHUS: Subspace Clustering for Heteroscedastic Data
Javier Salazar Cavazos, Jeffrey A Fessler, Laura Balzano
Principal component analysis (PCA) is a key tool in the field of data dimensionality reduction. Various methods have been proposed to extend PCA to the union of subspace (UoS) sett…