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» Graphs with Large Obstacle Numbers
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KDD
2008
ACM
165views Data Mining» more  KDD 2008»
14 years 10 months ago
Colibri: fast mining of large static and dynamic graphs
Low-rank approximations of the adjacency matrix of a graph are essential in finding patterns (such as communities) and detecting anomalies. Additionally, it is desirable to track ...
Hanghang Tong, Spiros Papadimitriou, Jimeng Sun, P...
CORR
2010
Springer
142views Education» more  CORR 2010»
13 years 8 months ago
HyperANF: Approximating the Neighbourhood Function of Very Large Graphs on a Budget
The neighbourhood function NG(t) of a graph G gives, for each t ∈ N, the number of pairs of nodes x, y such that y is reachable from x in less that t hops. The neighbourhood fun...
Paolo Boldi, Marco Rosa, Sebastiano Vigna
CDC
2010
IEEE
144views Control Systems» more  CDC 2010»
13 years 4 months ago
Effect of network structure on the stability margin of large vehicle formation with distributed control
We study the problem of distributed control of a large network of double-integrator agents to maintain a rigid formation. A few lead vehicles are given information on the desired t...
He Hao, Prabir Barooah, J. J. P. Veerman
WEA
2005
Springer
176views Algorithms» more  WEA 2005»
14 years 3 months ago
High-Performance Algorithm Engineering for Large-Scale Graph Problems and Computational Biology
Abstract. Many large-scale optimization problems rely on graph theoretic solutions; yet high-performance computing has traditionally focused on regular applications with high degre...
David A. Bader
SI3D
2003
ACM
14 years 2 months ago
Large haptic topographic maps: marsview and the proxy graph algorithm
In this paper we develop an interactive 3D browser for large topographic maps using a visual display augmented by a haptic, or force feedback, display. The extreme size of our dat...
Sean P. Walker, John Kenneth Salisbury Jr.