3 papers
cs.LG2026
High Rank Matrix Completion via Grassmannian Proxy Fusion
Huanran Li, Jeremy Johnson, Daniel Pimentel-Alarcón
This paper approaches high-rank matrix completion (HRMC) by filling missing entries in a data matrix where columns lie near a union of subspaces, clustering these columns, and iden…
cs.CV2026
Subspace Clustering on Incomplete Data with Self-Supervised Contrastive Learning
Huanran Li, Daniel Pimentel-Alarcón
Subspace clustering aims to group data points that lie in a union of low-dimensional subspaces and finds wide application in computer vision, hyperspectral imaging, and recommendat…
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…