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JMLR
2008
230views more  JMLR 2008»
15 years 6 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
IPSN
2007
Springer
16 years 18 days ago
Exact distributed Voronoi cell computation in sensor networks
Distributed computation of Voronoi cells in sensor networks, i.e. computing the locus of points in a sensor field closest to a given sensor, is a key building block that supports...
Boulat A. Bash, Peter Desnoyers
ICDCS
2006
IEEE
16 years 15 days ago
Greedy is Good: On Service Tree Placement for In-Network Stream Processing
This paper is concerned with reducing communication costs when executing distributed user tasks in a sensor network. We take a service-oriented abstraction of sensor networks, whe...
Zoë Abrams, Jie Liu
INFOCOM
2006
IEEE
16 years 15 days ago
Cross-Layer Congestion Control, Routing and Scheduling Design in Ad Hoc Wireless Networks
Abstract— This paper considers jointly optimal design of crosslayer congestion control, routing and scheduling for ad hoc wireless networks. We first formulate the rate constrai...
Lijun Chen, Steven H. Low, Mung Chiang, John C. Do...
CCS
2007
ACM
15 years 10 months ago
Highly efficient techniques for network forensics
Given a history of packet transmissions and an excerpt of a possible packet payload, the payload attribution problem requires the identification of sources, destinations and the t...
Miroslav Ponec, Paul Giura, Hervé Brön...