PPT-Robust Local Community Detection:

On Free Rider Effect and Its Elimination 1 Case Western Reserve University Yubao Wu 1 Ruoming Jin 2 Jing Li 1 Xiang Zhang 1 2 Kent State University Generic Local Community Detection Problem. Adapted from Chapter 3. Of. Lei Tang and . Huan. Liu’s . Book. Slides prepared by . Qiang. Yang, . UST, . HongKong. 1. Chapter 3, Community Detection and Mining in Social Media.  Lei Tang and Huan Liu, Morgan & Claypool, September, 2010. . Chapter 3. 1. Chapter 3, . Community Detection and Mining in Social Media.  Lei Tang and Huan Liu, Morgan & Claypool, September, 2010. . Community. Community. : It is formed by individuals such that those within a group interact with each other more frequently than with those outside the group. R11exp( )dy(8)AboveR11exp( )dyisthenormalisation(partition)func-tionwhichmakestheprobabilitydistributionavalidone(bymakingitsumto1).Thefollowingsectiondescribesthepo-tentialfunctionusedbyourLNFpatch Benoit Macq, Mireia Montañola Sales . Université catholique de Louvain (. Belgium. ) . Patrice Rondao Alface. Bell . Labs. , Alcatel-Lucent (. Belgium. ). . Outline. Watermarking. Traceablity. . Gerald Aiken . Durham University. “Many radical political organizations founder on the desire for community. Too often people in groups working for social change take mutual friendship to be the goal of the group, and thus judge themselves wanting as a group when they do not achieve such commonality. Such a desire for community often channels energy away from the political goals of the group, and produces a clique atmosphere which keeps groups small and turns away potential members.” . BCAFM 2015. Presented by Jen Comer, Creston Valley Farmers’ Market Manager & Town . Councillor. . Outline. Why . should local . government care?. Help . comes from unexpected places . – build partnerships!. Afsheen . Kabir. Rashid. Co-founder Director. Content. About Repowering . Co-operative model. What we do. Our projects . Legal and technical . Who we are. REPOWERING. . is a . Community Benefit Society. Draft slides. Background. Consider a social graph G=(V, E), where |V|= n and |E|= m . Girvan and Newman’s algorithm for community detection runs . in O(m. 2. n) time. , and . O(n. 2. ) space. .. The . ‘Where Community and Environment Meet’. Who They Are... Non-Profit Organisation. Operating out of Duncan, BC for past 11 years. Community Leader. Innovation Hub. What They Do... CGC creates positive change through . Oscar . Danielsson. (osda02@csc.kth.se). Stefan . Carlsson. (. stefanc@csc.kth.se. ). Josephine Sullivan (. sullivan@csc.kth.se. ). DICTA08. The Problem. Object categories are often modeled by collections (bag-of-features) or constellations (pictorial structures) of local features . MED’S ● MEDLIFE creates partnerships with local communities and works alongside community members to create a sense of working together. ● MEDLIFE combines three components to tackle the disparities in wealth and healthcare access. And Tracking Algorithm Ms.Prajakta M.Patil Prof.Y.M.Patil Assistant Professor of E & TC Engineering, Professor of Electronics Engineering, ADCET, Ashta, India KIT, Kolhapur, India International Journ Florian Tramèr. Stanford University, Google, ETHZ. ML suffers from . adversarial. . examples.. 2. 90% Tabby Cat. 100% Guacamole. Adversarial noise. Robust classification is . hard! . 3. Clean. Adversarial (. Computer Vision, FCUP, . 2018/19. Miguel Coimbra. Slides by Prof. Kristen . Grauman. Today. Local . invariant . features. Detection of interest points. (Harris corner detection). Scale invariant blob detection: .