IEEE

Enhanced Low-Rank Matrix Decomposition for High-Resolution UAV-SAR Imagery

Abstract: Low-rank matrix decomposition is effective for sparse recovery. However, the conventions are limited in accuracy for high-resolution synthetic aperture radar (SAR) imagery due to the ...
IEEE

Distance-Based Logistic Matrix Factorization

Abstract: Matrix factorization is a central paradigm in matrix completion and collaborative filtering. Low-rank factorizations have been extremely successful in reconstructing and generalizing ...
GitHub

non-negative-matrix-factorization

Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the ...
Frontiers

Assessment of the sources and health risks of heavy metals in the soil-rice system based on positive matrix factorization and Monte Carlo simulation

1 School of Public Health and Management, Chongqing Three Gorges Medical College, Chongqing, China 2 Department of Environment and Food Hygiene, Chongqing Wanzhou District Center for Disease Control ...
Psychology Today

Your Guide to Breaking Projects Into Manageable Chunks

Mastering decomposition—the skill of breaking down complexity into manageable chunks—can help if you're easily overwhelmed by anxiety, procrastinate, have difficulty concentrating due to depression, ...
C&EN

Efficient Mixed-Precision Matrix Factorization of the Inverse Overlap Matrix in Electronic Structure Calculations with AI-Hardware and GPUs

Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States ...
The New York Times

Here’s Why ‘The Matrix’ Is More Relevant Than Ever

One scene reflects the themes — A.I., fake news, transgender lives and Gen X — that make the film a classic. By Alissa Wilkinson Neo, the hero of “The Matrix,” is sure he lives in 1999. He has a green ...