'Min cut' presentation slideshows

1.34k views • 124 slides

Randomization in Graph Optimization Problems

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Lectures on Randomised Algorithms

Lectures on Randomised Algorithms. COMP 523: Advanced Algorithmic Techniques Lecturer: Dariusz Kowalski. Overview. Previous lectures: NP-hard problems Approximation algorithms These lectures: Basic theory: probability, random variable, expected value Randomised algorithms.

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Images as graphs

Images as graphs. Fully-connected graph node for every pixel link between every pair of pixels, p , q similarity w ij for each link. i. w ij. c. j. Source: Seitz. Segmentation by Graph Cuts. w. Break Graph into Segments Delete links that cross between segments

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Instructor: Shengyu Zhang

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Graph Clustering

Graph Clustering. Why graph clustering is useful?. Distance matrices are graphs ? as useful as any other clustering Identification of communities in social networks Webpage clustering for better data management of web data. Outline. Min s-t cut problem Min cut problem Multiway cut

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Randomized Algorithms

Randomized Algorithms. Introduction. Rom Aschner & Michal Shemesh. Probability theory Randomized Algorithms: Quick Sort Min Cut Las Vegas and Monte Carlo Binary Planar Partitions. Today.

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Randomness in Computation and Communication

Randomness in Computation and Communication. Part 1: Randomized algorithms. Lap Chi Lau CSE CUHK. Making Decision. Flip a coin. Making Decision. Flip a coin!. An algorithm which flip coins is called a randomized algorithm. Why Randomness?.

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Cooperative Interference Management in Wireless Networks

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Power Aware Routing in Ad Hoc Networks

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CSE 326: Data Structures Network Flow

CSE 326: Data Structures Network Flow. James Fogarty Autumn 2007. Network Flows. Given a weighted, directed graph G=(V,E) Treat the edge weights as capacities How much can we flow through the graph?. 1. F. 11. A. B. H. 7. 5. 3. 2. 6. 12. 9. 6. C. G. 11. 4. 10. 13. 20.

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The High, the Low and the Ugly

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Truth, Justice, and Cake Cutting

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Lecture 5:

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Network Coding: Theory and Practice

Network Coding: Theory and Practice. Apirath Limmanee Jacobs University. Overview. Theory Max-Flow Min-Cut Theorem Multicast Problem Network Coding Practice. Max-Flow Min-Cut Theorem. Definition Graph Min-Cut and Max-Flow. Definition.

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CS 312: Algorithm Analysis

This work is licensed under a Creative Commons Attribution-Share Alike 3.0 Unported License . CS 312: Algorithm Analysis. Lecture #28: Network Flow and Cuts. Slides by: Eric Ringger, with contributions from Mike Jones. Objectives.

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Network Coding for Multi-Resolution Multicast

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Capo: Robust and Scalable Open-Source Min-cut Floorplacer

Capo: Robust and Scalable Open-Source Min-cut Floorplacer. Jarrod A. Roy, David A. Papa,Saurabh N. Adya, Hayward H. Chan, James F. Lu, Aaron N. Ng, Igor L. Markov EECS Department University of Michigan, Ann Arbor. http://vlsicad.eecs.umich.edu/BK/PDtools/tar.gz/LATEST/.

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Min-cut for Undirected Graphs

Min-cut for Undirected Graphs. Given an undirected graph, a global min-cut is a cut (S,V-S) minimizing the number of crossing edges , where a crossing edge is an edge ( u,v ) s.t. u ?S and v? V-S. S. V - S. Graph Contraction.

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