14 citations · 17 across the 4 of their papers we have counts for
4 papers
Applications of Online Nonnegative Matrix Factorization to Image and Time-Series Data
Hanbaek Lyu, Georg Menz, Deanna Needell +1
Online nonnegative matrix factorization (ONMF) is a matrix factorization technique in the online setting where data are acquired in a streaming fashion and the matrix factors are u…
Clustering of Nonnegative Data and an Application to Matrix Completion
C. Strohmeier, D. Needell
In this paper, we propose a simple algorithm to cluster nonnegative data lying in disjoint subspaces. We analyze its performance in relation to a certain measure of correlation bet…
Online nonnegative CP-dictionary learning for Markovian data
Hanbaek Lyu, Christopher Strohmeier, Deanna Needell
Online Tensor Factorization (OTF) is a fundamental tool in learning low-dimensional interpretable features from streaming multi-modal data. While various algorithmic and theoretica…
COVID-19 Time-series Prediction by Joint Dictionary Learning and Online NMF
Hanbaek Lyu, Christopher Strohmeier, Georg Menz +1
Predicting the spread and containment of COVID-19 is a challenge of utmost importance that the broader scientific community is currently facing. One of the main sources of difficul…