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WWW
2010
ACM
16 years 1 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
15 years 8 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
16 years 1 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
15 years 12 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
15 years 10 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