EurekAlert!

Smarter SAR phase linking expands deformation monitoring

A new radar imaging method could make ground deformation monitoring denser, cleaner, and more reliable across complex ...
GitHub

Code Description for Matrix Sparsity-Based Pauli Decomposition (Python Version)

This document is designed to help users quickly understand, use, and maintain the MATLAB and Python implementations of the matrix sparsity-based Pauli decomposition (MSPD) algorithm. - ...
marktechpost

Google AI Introduces STATIC: A Sparse Matrix Framework Delivering 948x Faster Constrained Decoding for LLM Based Generative Retrieval

In industrial recommendation systems, the shift toward Generative Retrieval (GR) is replacing traditional embedding-based nearest neighbor search with Large Language Models (LLMs). These models ...
GitHub

Ultra‑Sparse Matrix Factorization Recommender System

This repository explores how well a Biased Latent Matrix Factorization (BLMF) recommender system performs when trained on extremely sparse rating matrices, using a reduced sample of the MovieLens 32M ...
Frontiers

Interleaving cortex-analog mixing improves deep non-negative matrix factorization networks

Considering biological constraints in artificial neural networks has led to dramatic improvements in performance. Nevertheless, to date, the positivity of long-range signals in the cortex has not been ...
Scientific Research Publishing

Jia, X. and Guo, B. (2022) Non-Negative Matrix Factorization Based on Smoothing and Sparse Constraints for Hyperspectral Unmixing. Sensors, 22, Article 5417.

ABSTRACT: In this paper, an Optimal Predictive Modeling of Nonlinear Transformations “OPMNT” method has been developed while using Orthogonal Nonnegative Matrix Factorization “ONMF” with the ...
Scientific Research Publishing

Koren, Y., Bell, R., & Volinsky, C. (2009). Matrix Factorization Techniques for Recommender Systems. Computer, 42, 30-37.

ABSTRACT: The offline course “Home Plant Health Care,” which is available to the senior population, serves as the study object for this paper. Learn how to use artificial intelligence technologies to ...
Nature

Sparse matrix factorization robust to sample sharing across GWASs reveals interpretable genetic components

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...
IEEE

An Innovative Low-Rank Sparse Matrix Decomposition Clutter Suppression Method Based on Non-Convex Alternatives for Pseudo-Random-Coded Ground-Penetrating Radar

Abstract: This article analyzes the composition and characteristics of echo signals in a pseudorandom-coded ground-penetrating radar (GPR). Based on these characteristics, an innovative low-rank ...