The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.

Abstract: Lane detection is a challenging task due to the inherently sparse nature of lanes, which are characterized by their thin and long structures. However, existing lane detection methods often ...

In a paper in the Journal of Diabetes Science and Technology, researchers at Stevens Institute of Technology offer a new approach: a data-sparse model capable of accurately predicting individual ...

FIVE Chinese fugitives linked to the Philippine offshore gaming operations (POGOs) were intercepted by joint government operatives while trying to flee the country to through the southern backdoor for ...

MANILA, Philippines — The Bureau of Immigration (BI) has uncovered a new and “sneaky” scheme used by human traffickers to slip past airport checks: posing as missionaries on a church trip.

Examples of MAtCha reconstructions from 10 input views. MAtCha can recover sharp, accurate and complete 3D surface meshes from sparse views, including both foreground and background objects (left: GT ...

Sparse autoencoders are central tools in analyzing how large language models function internally. Translating complex internal states into interpretable components allows researchers to break down ...

Abstract: Sparse sampling of photoacoustic (PA) signals is a crucial strategy for enhancing the feasibility of photoacoustic tomography (PAT) in clinical settings by reducing system complexity and ...