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ACMSE
2006
ACM
16 years 15 days ago
Discovering communities in complex networks
We propose an efficient and novel approach for discovering communities in real-world random networks. Communities are formed by subsets of nodes in a graph, which are closely rela...
Hemant Balakrishnan, Narsingh Deo
ADHOCNOW
2009
Springer
15 years 7 months ago
Localized Sensor Self-deployment with Coverage Guarantee in Complex Environment
Abstract. In focused coverage problem, sensors are required to be deployed around a given point of interest (POI) with respect to a priority requirement: an area close to POI has h...
Xu Li, Nathalie Mitton, Isabelle Ryl, David Simplo...
ICCV
2009
IEEE
16 years 11 months ago
Spatio-Temporal Relationship Match: Video Structure Comparison for Recognition of Complex Human Activities
Human activity recognition is a challenging task, especially when its background is unknown or changing, and when scale or illumination differs in each video. Approaches utilizi...
M. S. Ryoo1; J. K. Aggarwal
CGF
2010
182views more  CGF 2010»
15 years 4 months ago
A Data-driven Segmentation for the Shoulder Complex
The human shoulder complex is perhaps the most complicated joint in the human body being comprised of a set of three bones, muscles, tendons, and ligaments. Despite this anatomica...
Q. Youn Hong, Sang Il Park, Jessica K. Hodgins
FOCS
2009
IEEE
16 years 1 months ago
The Complexity of Rationalizing Network Formation
— We study the complexity of rationalizing network formation. In this problem we fix an underlying model describing how selfish parties (the vertices) produce a graph by making...
Shankar Kalyanaraman, Christopher Umans