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» Bayesian Information Extraction Network
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INFOCOM
2012
IEEE
13 years 5 months ago
CONSEL: Connectivity-based segmentation in large-scale 2D/3D sensor networks
—A cardinal prerequisite for the system design of a sensor network, is to understand the geometric environment where sensor nodes are deployed. The global topology of a largescal...
Hongbo Jiang, Tianlong Yu, Chen Tian, Guang Tan, C...
WPES
2006
ACM
15 years 9 months ago
Nonesuch: a mix network with sender unobservability
Oblivious submission to anonymity systems is a process by which a message may be submitted in such a way that neither the anonymity network nor a global passive adversary may dete...
Thomas S. Heydt-Benjamin, Andrei Serjantov, Beness...
DIS
2009
Springer
15 years 9 months ago
CHRONICLE: A Two-Stage Density-Based Clustering Algorithm for Dynamic Networks
Abstract. Information networks, such as social networks and that extracted from bibliographic data, are changing dynamically over time. It is crucial to discover time-evolving comm...
Min-Soo Kim 0002, Jiawei Han
138
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ECCB
2008
IEEE
15 years 9 months ago
Functional coherence in domain interaction networks
Motivation: Extracting functional information from protein–protein interactions (PPI) poses significant challenges arising from the noisy, incomplete, generic and static nature...
Jayesh Pandey, Mehmet Koyutürk, Shankar Subra...
FOCS
2008
IEEE
15 years 9 months ago
Network Extractor Protocols
We design efficient protocols for processors to extract private randomness over a network with Byzantine faults, when each processor has access to an independent weakly-random n-...
Yael Tauman Kalai, Xin Li, Anup Rao, David Zuckerm...