The code accompanies paper Graph reduction with spectral and cut guarantees by Andreas Loukas published at JMLR/2019. Can one reduce the size of a graph without significantly altering its basic ...

Abstract: Graph cut algorithms are widely used to solve min-cut/max-flow problems across various optimization applications. A common approach in recent FPGA accelerators of graph cut algorithms is to ...

Music recommendation algorithms were supposed to help us cut through the noise, but they just served us up slop. If you buy something from a Verge link, Vox Media may earn a commission. See our ...

Fusing the two has become standard, yet common algorithms like the Extended Kalman Filter cannot fully handle nonlinear dynamics or exploit historical data. Factor Graph Optimization (FGO) emerged as ...

The vehicle trajectories. a The Awesome GINS Dataset which was collected in an open-sky industrial area in Wuhan. b The second dataset which was collected in a suburban area in the Optics Valley of ...

This repository contains the source code and datasets for our proposed framework on temporal action segmentation, as described in the paper titled Semantic Smoothness Optimization via Graph-Cut Energy ...