Search Results for author:
Found 3 papers, 2 papers with code
A Comparative Study of Graph Matching Algorithms in Computer Vision
To address these shortcomings, we present a comparative study of graph matching algorithms.
Fusion Moves for Graph Matching
We contribute to approximate algorithms for the quadratic assignment problem also known as graph matching.
Crowd Sourcing Image Segmentation with iaSTAPLE
In an evaluation on a light microscopy dataset containing more than 5000 membrane labeled epithelial cells of a fly wing, we show that iaSTAPLE outperforms STAPLE in terms of segmentation accuracy as well as in terms of the accuracy of estimated crowd worker performance levels, and is able to correctly segment 99% of all cells when compared to expert segmentations.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
