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» Bayesian Information Extraction Network
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INFOCOM
2012
IEEE
13 years 8 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 12 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
16 years 17 days 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
ECCB
2008
IEEE
16 years 13 days 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
16 years 13 days 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...