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Data clustering and image segmentation with multiple random walkers

Prof. Jae-Young Sim has co-authored “Multiple random walkers and their application to image cosegmentation”, presented in the IEEE International Conference on Computer Vision and Pattern Recognition.

This paper proposed a system of multiple random walkers to simulate the traversal of multiple agents on a graph simultaneously, where the multiple walkers interact with one another to achieve a desired goal such as data clustering or image segmentation.

 

For more information, please refer to the publication details:

Authors: Chulwoo Lee, Won-Dong Jang, Jae-Young Sim, and Chang-Su Kim

Title: Multiple random walkers and their application to image cosegmentation

Conference: IEEE International Conference on Computer Vision and Pattern Recognition

Publication date: June 2015