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133
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CORR
2007
Springer
135views Education» more  CORR 2007»
15 years 2 months ago
Detailed Network Measurements Using Sparse Graph Counters: The Theory
— Measuring network flow sizes is important for tasks like accounting/billing, network forensics and security. Per-flow accounting is considered hard because it requires that m...
Yi Lu, Andrea Montanari, Balaji Prabhakar
118
Voted
PKDD
2010
Springer
150views Data Mining» more  PKDD 2010»
15 years 1 months ago
Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms
Given a contact network that changes over time (say, day vs night connectivity), and the SIS (susceptible/infected/susceptible, flu like) virus propagation model, what can we say ...
B. Aditya Prakash, Hanghang Tong, Nicholas Valler,...
146
Voted
ESANN
2006
15 years 4 months ago
Neural networks and machine learning in bioinformatics - theory and applications
Bioinformatics is a promising and innovative research field. Despite of a high number of techniques specifically dedicated to bioinformatics problems as well as many successful app...
Udo Seiffert, Barbara Hammer, Samuel Kaski, Thomas...
116
Voted
EWSN
2004
Springer
15 years 8 months ago
Networked Slepian-Wolf: Theory and Algorithms
Abstract. In this paper, we consider the minimization of a relevant energy consumption related cost function in the context of sensor networks where correlated sources are generate...
Razvan Cristescu, Baltasar Beferull-Lozano, Martin...
124
Voted
TIT
2008
139views more  TIT 2008»
15 years 2 months ago
Asymptotic Optimality Theory for Decentralized Sequential Hypothesis Testing in Sensor Networks
The decentralized sequential hypothesis testing problem is studied in sensor networks, where a set of sensors receive independent observations and send summary messages to the fusi...
Yajun Mei