Graph matching and edit distance algorithms form a cornerstone of modern computational techniques used to quantify the similarity between structured data. These methods underpin a wide array of ...

Abstract: Realizing fast and accurate object detection and tracking models is one of the research hotspots in the field of computer vision. However, with the continuous growth in demand for detecting ...

Abstract: Inexact graph matching algorithms have proved to be useful in many applications, such as character recognition, shape analysis, and image analysis. Inexact graph matching is, however, ...

Two computer scientists found — in the unlikeliest of places — just the idea they needed to make a big leap in graph theory. This past October, as Jacob Holm and Eva Rotenberg were thumbing through a ...

Gale Shapley (GS) Algorithm also known as the Stable Matching (SM) problem is a constructive algorithm used to find a stable match meaning for given a candidate the algorithm would find its preferable ...

This repository implements Sequential Flow Matching for the paper Accelerated Sequential Flow Matching: A Bayesian Filtering Perspective (https://arxiv.org/abs/2602. ...

It hadn’t occurred to me in quite these terms before, but Google has an algorithm for its Knowledge Graph. I have been tracking the Knowledge Graph API for five years. The resultScores have always ...

Computer scientists are abuzz over a fast new algorithm for solving one of the central problems in the field. (January 15, 2017, update: On January 4, Babai retracted his claim that the new algorithm ...