'Multiway cut' diaporamas de présentation

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

415 views • 41 slides

Auditory and Visual Spatial Sensing

Auditory and Visual Spatial Sensing. Stan Birchfield Department of Electrical and Computer Engineering Clemson University. Human Spatial Sensing. The five senses:. Seeing. Hearing. f(x,y, l ,t). f(t). Taste. Smell. Touch. Visual and Auditory Pathways.

579 views • 40 slides

Chapter 6. Relaxation

Chapter 6. Relaxation. II. Connected Dominating Set. Connected Dominating Set. Dominating set. Connected dominating set. Notation. With respect to a vertex set C,. Color vertices in C by Black. Color vertices adjacent to a black vertex by Grey. Color all other vertices by White.

474 views • 37 slides

Markov Random Fields with Efficient Approximations

Markov Random Fields with Efficient Approximations. Yuri Boykov, Olga Veksler, Ramin Zabih Computer Science Department CORNELL UNIVERSITY. Introduction. MAP-MRF approach (Maximum Aposteriori Probability estimation of MRF)

425 views • 30 slides

Graph Partitioning Problems

Graph Partitioning Problems. T2. s1. s2. T1. T3. T4. s3. R1. R2. s1. s4. s4. t1. t3. t2. C1. C2. A region. s3. s2. t4. Graph Partitioning Problems. General setting: to remove a minimum (weight) set of edges to cut the graph into pieces. Examples:

489 views • 27 slides

Graph Partitioning Problems

Graph Partitioning Problems. T2. s1. s2. T1. T3. T4. s3. R1. R2. s1. s4. s4. t1. t3. t2. C1. C2. A region. s3. s2. t4. Graph Partitioning Problems. General setting: to remove a minimum (weight) set of edges to cut the graph into pieces. Examples:

291 views • 27 slides

Approximation Algorithm for Multicut

458 views • 23 slides

Approximation Algorithms

Approximation Algorithms. Bin Packing. Definition. Theorem. An Easy Solution: First Fit. Asymptotic PTAS. Multiway Cut and k-Cut. Definition. Example. Can you prove it???. Approximation. Analysis. Minimum k-cut Problem. Example. Construct a Gomory-Hu Tree.

405 views • 20 slides

This talk

On MultiCuts and Related Problems Michael Langberg California Institute of Technology Joint work with Adi Avidor. This talk. Part I: Generalization of both Min. MultiCut and Min. Multiway Cut problems. Part II: Minimum Uncut problem. Part I: Minimum MultiCut. Input: G=(V,E) .

284 views • 18 slides