2 papers
cs.LG2022
Fusion Subspace Clustering for Incomplete Data
Usman Mahmood, Daniel Pimentel-Alarcón
This paper introduces {\em fusion subspace clustering}, a novel method to learn low-dimensional structures that approximate large scale yet highly incomplete data. The main idea is…
stat.ML2014
To lie or not to lie in a subspace
Daniel L. Pimentel-Alarcón
Give deterministic necessary and sufficient conditions to guarantee that if a subspace fits certain partially observed data from a union of subspaces, it is because such data reall…