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» On an Optimization Problem in Sensor Selection*
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IJRR
2007
75views more  IJRR 2007»
14 years 10 months ago
Surveillance Strategies for a Pursuer with Finite Sensor Range
This paper addresses the pursuit-evasion problem of maintaining surveillance by a pursuer of an evader in a world populated by polygonal obstacles. This requires the pursuer to pl...
Rafael Murrieta-Cid, Teja Muppirala, Alejandro Sar...
ICML
2006
IEEE
15 years 11 months ago
Convex optimization techniques for fitting sparse Gaussian graphical models
We consider the problem of fitting a large-scale covariance matrix to multivariate Gaussian data in such a way that the inverse is sparse, thus providing model selection. Beginnin...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
101
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IPSN
2005
Springer
15 years 3 months ago
Lossy network correlated data gathering with high-resolution coding
— We consider a sensor network measuring correlated data, where the task is to gather all data from the network nodes to a sink. We consider the case where data at nodes is lossy...
Razvan Cristescu, Baltasar Beferull-Lozano
INFOCOM
2000
IEEE
15 years 2 months ago
Optimal Partition of QoS requirements with Discrete Cost Functions
Abstract—The future Internet is expected to support applications with quality of service (QoS) requirements. For this end several mechanisms are suggested in the IETF to support ...
Danny Raz, Yuval Shavitt
CDC
2009
IEEE
180views Control Systems» more  CDC 2009»
15 years 1 months ago
Robustness analysis for Least Squares kernel based regression: an optimization approach
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...
Tillmann Falck, Johan A. K. Suykens, Bart De Moor