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Lecture #4 of CS261 discusses applications of maximum flow and minimum cut algorithms, emphasizing their practical relevance in various fields such as transportation and computer vision. It introduces the minimum (s, t)-cut problem as a dual to maximum flow and explains how image segmentation can be reduced to this problem. Additionally, the lecture covers the bipartite matching problem and its reduction to maximum flow, highlighting the efficiency of algorithms for bipartite graphs.

Author

Saakshi Chouhan

Language

EN