IEEE

Multi-view Contrastive Learning with Tensor Low-Rank Factorization for Integrated Clustering

Abstract: Existing multi-view clustering methods often separate feature learning from clustering, leading to suboptimal preservation of global structure and increased reliance on heuristic ...
Physics World

Matrix factorization algorithms help track neuronal activity

A new technique that efficiently retrieves scattered light from fluorescent sources can be used to record neuronal signals coming from deep within the brain. The technique, developed by physicists at ...
IEEE

Document classification using nonnegative matrix factorization and underapproximation

Abstract: In this study, we use nonnegative matrix factorization (NMF) and nonnegative matrix underapproximation (NMU) approaches to generate feature vectors that can be used to cluster aviation ...