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WWW
2010
ACM
14 years 2 months ago
Sampling community structure
We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgra...
Arun S. Maiya, Tanya Y. Berger-Wolf
ECCV
2010
Springer
13 years 10 months ago
Depth-Encoded Hough Voting for joint object detection and shape recovery
Detecting objects, estimating their pose and recovering 3D shape information is a critical problem in many vision and robotics applications. This paper addresses the above needs by...
WWW
2010
ACM
14 years 2 months ago
Empirical comparison of algorithms for network community detection
Detecting clusters or communities in large real-world graphs such as large social or information networks is a problem of considerable interest. In practice, one typically chooses...
Jure Leskovec, Kevin J. Lang, Michael W. Mahoney
ICDCS
2005
IEEE
14 years 1 months ago
Detecting Malicious Beacon Nodes for Secure Location Discovery in Wireless Sensor Networks
Sensors’ locations play a critical role in many sensor network applications. A number of techniques have been proposed recently to discover the locations of regular sensors base...
Donggang Liu, Peng Ning, Wenliang Du
AIPR
2001
IEEE
13 years 11 months ago
A Qualitative Image Reconstruction from an Axial Image Sequence
This paper presents a method to process axial monocular image sequences for mobile robot obstacle detection. We do not aim to achieve a complete scene reconstruction, but only to ...
Philippe Guermeur, Edwige Pissaloux