research
∙
09/23/2021
Memory-Efficient Convex Optimization for Self-Dictionary Separable Nonnegative Matrix Factorization: A Frank-Wolfe Approach
Nonnegative matrix factorization (NMF) often relies on the separability ...
share
research
∙
03/18/2021
Probabilistic Simplex Component Analysis
This study presents PRISM, a probabilistic simplex component analysis ap...
research
∙
12/27/2020
Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models
In federated learning, models are learned from users' data that are held...
research
∙
07/02/2019
Hyperspectral Super-Resolution via Global-Local Low-Rank Matrix Estimation
Hyperspectral super-resolution (HSR) is a problem that aims to estimate ...
research
∙
08/09/2017
