'Maximal cliques' presentation slideshows

Giuseppe Lancia Robert Carr Brian Walenz Sorin Istrail

101 Optimal PDB Structure Alignments: A Branch-and-Cut Algorithm for the Maximum Contact Map Overlap Problem. Giuseppe Lancia Robert Carr Brian Walenz Sorin Istrail. Contact Maps. CONTACT MAPS. Unfolded protein. CONTACT MAPS. Unfolded protein. Folded protein = contacts. CONTACT MAPS.

1.14k views • 98 slides

Data Management for Social Networking

Data Management for Social Networking. Sara Cohen Hebrew University of Jerusalem. About this Talk. Focus: Breadth-wise No background knowledge assumed Take- aways : Fundamental issues in social network analysis Key challenges related to data management

740 views • 73 slides

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897 views • 70 slides

Estimating the distribution of the incubation period of HIV/AIDS

Estimating the distribution of the incubation period of HIV/AIDS. Marloes H. Maathuis Joint work with: Piet Groeneboom and Jon A. Wellner. HIV. AIDS. 1996. 1985. Incubation period. 11 years. Incubation period. Time between HIV infection and onset of AIDS. 1996. 1985. AIDS. 1980.

661 views • 65 slides

Research: BAM, Ajax View, And Doloto

Research: BAM, Ajax View, And Doloto. ? Emre K ?c?man Researcher Microsoft Corporation. ? Ethan Jackson Post Doc Researcher Microsoft Corporation. End-To-End Service Development. BAM. Ajax View. Doloto. Model-Based Development Of Cloud Applications: BAM. ? Ethan Jackson

615 views • 52 slides

Structure from motion

Structure from motion. Structure from motion. Given a set of corresponding points in two or more images, compute the camera parameters and the 3D point coordinates. ?. ?. Camera 1. ?. Camera 3. ?. Camera 2. R 1 ,t 1. R 3 ,t 3. R 2 ,t 2. Slide credit: Noah Snavely. X j. x 1 j.

957 views • 49 slides

Raffay Hamid, Amos Johnson, Samir Batta, Aaron Bobick, Charles Isbell, Graham Coleman

Activity Discovery and Anomalous Activity Explanation Raffay Hamid, Amos Johnson, Samir Batta, Aaron Bobick, Charles Isbell, Graham Coleman Activity Discovery and Anomalous Activity Explanation Activity Discovery and Anomalous Activity Explanation

846 views • 47 slides

V2: Measures and Metrics (II)

V2: Measures and Metrics (II). - Betweenness Centrality - Groups of Vertices - Transitivity - Reciprocity - Signed Edges and Structural Balance - Similarity - Homophily and Assortative Mixing. Betweenness. Betweenness measures the extent to which a vertex lies

696 views • 47 slides

Rethinking Custom ISE Identification: A New Processor-Agnostic Method

384 views • 27 slides

Simple Algorithms for Complex Relation Extraction with Applications to Biomedical IE

Simple Algorithms for Complex Relation Extraction with Applications to Biomedical IE. Ryan McDonald Fernando Pereira Seth Kulick CIS and IRCS, University of Pennsylvania, Philadelphia, PA Scott Winters Yang Jin Pete White

277 views • 17 slides

Maximal Cliques in UDG: Polynomial Approximation

Maximal Cliques in UDG: Polynomial Approximation. Rajarshi Gupta, Jean Walrand Dept of EECS, UC Berkeley Olivier Goldschmidt , OPNET Technologies International Network Optimization Conference (INOC 2005) Lisbon, Portugal, March 2005. Unit Disk Graph. Geometric graph on a plane

398 views • 15 slides

Approximating Maximal Cliques in Ad-Hoc Networks

Approximating Maximal Cliques in Ad-Hoc Networks. Rajarshi Gupta and Jean Walrand {g uptar, wlr}@eecs.berkeley.edu www.eecs.berkeley.edu/~wlr Research funded in part by DARPA PIMRC 2004 - Barcelona, Spain, Sep 6 2004. Department of Electrical Engineering and Computer Sciences. Motivation.

232 views • 14 slides

Graphical Models

Graphical Models. BRML Chapter 4. t he zoo of graphical models. Markov networks Belief networks Chain graphs (Belief and M arkov ) Factor graphs =>they are graphical models. two steps of process. Modeling identify the relevant variables make structural assumptions Inference

308 views • 13 slides

125 views • 6 slides