Showing stat.MEShow all
2 papers · 1 filter
stat.ME2024
Sparse and Orthogonal Low-rank Collective Matrix Factorization (solrCMF): Efficient data integration in flexible layouts
Felix Held, Jacob Lindbäck, Rebecka Jörnsten
Interest in unsupervised methods for joint analysis of heterogeneous data sources has risen in recent years. Low-rank latent factor models have proven to be an effective tool for d…
stat.ME2024
Large-scale Data Integration using Matrix Denoising and Geometric Factor Matching
Felix Held
Unsupervised integrative analysis of multiple data sources has become common place and scalable algorithms are necessary to accommodate ever increasing availability of data. Only f…