PPT-Graph-Cut / Normalized Cut

  Presented To Prof Hagit HelOr Presented by Avner And David In the previews parts we have seen some kind of segmentation method In this lecture we will see graph cut which is a another segmentation method based on a powerful mathematical tool. 715 The normalized number of nonlinear solves Nonlin Solves The normalized average number of linear iterations Avg Lin Iter The normalized total time not including IO Total Time IO The run times and iteration counts have been normalized by the ru Xiaoming. Sun and David P. Woodruff. Chinese Academy of Sciences and IBM Research-. Almaden. Streaming Models. Long sequence of items appear one-by-one. numbers, points, edges, …. (usually) . adversarially. Simon Prince. s.prince@cs.ucl.ac.uk. Plan of Talk. Denoising. problem. Markov random fields (MRFs). Max-flow / min-cut. Binary MRFs (exact solution). Binary . Denoising. Before. After. Image represented as binary discrete variables. Some proportion of pixels randomly changed polarity.. 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. Isabelle Stanton, UC Berkeley. Gabriel . Kliot. , Microsoft Research XCG. Modern graph datasets are huge. The web graph had over a trillion links in 2011. Now?. . facebook. has “more than 901 million users with average degree 130”. Hao Wei. 1. , . Jeffrey Xu Yu. 1. , Can L. u. 1. , . Xuemin. Lin. 2. . 1 . The . Chinese University of Hong Kong, Hong Kong. 2 . The . University of New South Wales. , . Sydney, Australia. Graph in Big Data . Xiaoming. Sun and David P. Woodruff. Chinese Academy of Sciences and IBM Research-. Almaden. Streaming Models. Long sequence of items appear one-by-one. numbers, points, edges, …. (usually) . adversarially. Database. Relational databases . : dominant information storage/retrieval system. Database. Data stored in tables. Each . row . is a record. Database. Data stored in tables. Each . row . is a record. Xiaoming. Sun and David P. Woodruff. Chinese Academy of Sciences and IBM Research-. Almaden. Streaming Models. Long sequence of items appear one-by-one. numbers, points, edges, …. (usually) . adversarially. 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. Adjacency List. Adjacency-Matrix. Pointers/memory for each node (actually a form of adjacency list). Adjacency List. List of pointers for each vertex. Undirected Adjacency List. Adjacency List. The sum of the lengths of the adjacency lists is 2|E| in an undirected graph, and |E| in a directed graph.. 0.010.020.030.040.050.060.070.080.090.10.110.120.130.140.15 0 0 0 0 0 0 0 0 0 0 0 0 Exam Score Normalized Frequency 13 Prior Terms Normalized Spring 2020 Normalized & Ssmoothed ~ , on the when expressed We will show that this this [47, [67) showed how a direct study of the F-crystal structure on the de Rham cohomology of the universal formal deformation of an ~ , ~ . the cas Robert Krauthgamer, . Weizmann Institute of Science. Bertinoro. . workshop, May . 2014. Joint work with . Alexandr. . Andoni. and David Woodruff. TexPoint. fonts used in EMF. . Read the . TexPoint.