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» Analyzing graph structure via linear measurements
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SAC
2005
ACM
14 years 1 months ago
Discovering parametric clusters in social small-world graphs
We present a strategy for analyzing large, social small-world graphs, such as those formed by human networks. Our approach brings together ideas from a number of different resear...
Jonathan McPherson, Kwan-Liu Ma, Michael Ogawa
IJCAI
1997
13 years 8 months ago
On the Efficient Classification of Data Structures by Neural Networks
Marco Gori Dipartimento di Ingegneria deU'Informazione Universita di Siena Via Roma 56 53100 Siena, Italy Alessandro Sperduti Dipartimento di Informatica Universita di Pisa C...
Paolo Frasconi, Marco Gori, Alessandro Sperduti
CDC
2010
IEEE
144views Control Systems» more  CDC 2010»
13 years 2 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
CVPR
2007
IEEE
14 years 9 months ago
Fiber Tract Clustering on Manifolds With Dual Rooted-Graphs
We propose a manifold learning approach to fiber tract clustering using a novel similarity measure between fiber tracts constructed from dual-rooted graphs. In particular, to gene...
Andy Tsai, Carl-Fredrik Westin, Alfred O. Hero, Al...
KDD
2006
ACM
157views Data Mining» more  KDD 2006»
14 years 8 months ago
Using structure indices for efficient approximation of network properties
Statistics on networks have become vital to the study of relational data drawn from areas such as bibliometrics, fraud detection, bioinformatics, and the Internet. Calculating man...
Matthew J. Rattigan, Marc Maier, David Jensen