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» Learning network structure from passive measurements
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ICCV
2007
IEEE
14 years 9 months ago
Learning Structured Appearance Models from Captioned Images of Cluttered Scenes
Given an unstructured collection of captioned images of cluttered scenes featuring a variety of objects, our goal is to learn both the names and appearances of the objects. Only a...
Michael Jamieson, Afsaneh Fazly, Sven J. Dickinson...
CORR
2011
Springer
243views Education» more  CORR 2011»
13 years 2 months ago
Localization from Incomplete Noisy Distance Measurements
—We consider the problem of positioning a cloud of points in the Euclidean space Rd , from noisy measurements of a subset of pairwise distances. This task has applications in var...
Adel Javanmard, Andrea Montanari
TOMACS
2002
110views more  TOMACS 2002»
13 years 7 months ago
Rapid model parameterization from traffic measurements
The utility of simulations and analysis heavily relies on good models of network traffic. While network traffic constantly changing over time, existing approaches typically take y...
Kun-Chan Lan, John S. Heidemann
TON
2010
167views more  TON 2010»
13 years 2 months ago
A Machine Learning Approach to TCP Throughput Prediction
TCP throughput prediction is an important capability in wide area overlay and multi-homed networks where multiple paths may exist between data sources and receivers. In this paper...
Mariyam Mirza, Joel Sommers, Paul Barford, Xiaojin...
INFOCOM
2008
IEEE
14 years 2 months ago
Throughput Anonymity Trade-off in Wireless Networks under Latency Constraints
—Providing anonymity to routes in a wireless ad hoc network from passive eavesdroppers is considered. Using Shannon’s equivocation as an information theoretic measure of anonym...
Parvathinathan Venkitasubramaniam, Lang Tong