PDF-Inapproximabilty of Densest Subgraph from Average Case

Both results are of similar avor ruling out constant factor approximations in polynomial time for the D S problem under an average case hardness assumption The rst result asserts that if Random AND formulas are hard to distinguish from ones that are. 97 61745 Connecticut 150419 7207 1463 105468 Maine 89336 3746 1174 43978 Massachusetts 391856 3767 1423 53622 New Hampshire 105461 3569 1352 48258 Rhode Island 58317 5240 1292 67690 Vermont 51733 3248 1466 47622 Middle Atlantic 2211859 5942 1306 7759 Tsourakakis Francesco Bonchi Aristides Gionis Francesco Gullo Maria A Tsiarli Carnegie Mellon University Yahoo Research Aalto University University of Pittsburgh Pittsburgh PA USA Barcelona Spain Espoo Finland Pittsbu rgh PA USA ABSTRACT Finding den Extracting Optimal Quasi-Cliques with Quality . Guarantees. . Charalampos (Babis) E. Tsourakakis. charalampos.tsourakakis@aalto.fi. KDD 2013. Longin Jan Latecki. Based on :. P. . Dupont. , J. . Callut. , G. Dooms, J.-N. . Monette. and Y. Deville.. Relevant subgraph extraction from random walks in a graph. . RR 2006-07, Catholic University of Louvain , November 2006.. Degree 10 0 10 1 10 2 10 3 10 4 10 5 10 0 10 2 10 4 10 6 Total Subgraph 1 Subgraph 2 Subgraph 3 Degree 10 0 10 1 10 2 10 3 10 4 10 5 Count of Degree 10 0 10 2 10 4 10 6 Total Subgraph 1 Subgraph 2 Sub Using the Ullman Algorithm for Graphical Matching. Iddo. . Aviram. OCR- a Brief Review. Optical character recognition. , usually abbreviated to . OCR. , is the mechanical or electronic translation of scanned images of handwritten, typewritten or printed text into machine-encoded text. Vinay Gangadhar. gangadhar@wisc.edu. . ECE 751 Talk, Fall 2015. Department of Electrical and Computer Engineering. UW- Madison. 1. Background. 2. Embedded workloads – Computationally demanding. Mobile processors . . & Tilo . Wiedera. . Karsten . Klein. Uni Osnabrück, . Germany Uni Konstanz, . Germany. Maximal . Planar. . Subgraph. Algorithms. A Note on. t. he. . Practicality. . of. Problem . specification. Matching on Large Graphs in Cloud. Zhao Chang*, Lei . Zou. †, . Feifei. Li*. *University of Utah, USA . †. Peking University, China. Outline. Background. K-. Automorphism. Subgraph. Matching. Extracting Optimal Quasi-Cliques with Quality . Guarantees. . Charalampos (Babis) E. Tsourakakis. charalampos.tsourakakis@aalto.fi. KDD 2013. Longin Jan Latecki. Based on :. P. . Dupont. , J. . Callut. , G. Dooms, J.-N. . Monette. and Y. Deville.. Relevant subgraph extraction from random walks in a graph. . RR 2006-07, Catholic University of Louvain , November 2006.. Subgraph. . with Perfect Completeness. Aviad Rubinstein (UC Berkeley). Mark . Braverman. , Young Kun . Ko. , and . Omri. Weinstein. A confession…. rest of workshop. this talk. vs . vs . SETH: SAT requires . Feb 20, 2009. Definition of subgroups . Definition of sub-groups: “Cohesive subgroups are subsets of actors among whom there are relatively strong, direct, intense, frequent or positive ties. It formalizes the strong social groups based on the social network properties ”. We have discussed theoretical analysis of algorithms mostly in terms of asymptotic worst case and average case big O complexities. What we often care about even more is what will our typical or average case complexity be for our actual problem of interest.