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MP
2002
110views more  MP 2002»
13 years 7 months ago
Robust optimization - methodology and applications
Abstract. Robust Optimization (RO) is a modeling methodology, combined with computational tools, to process optimization problems in which the data are uncertain and is only known ...
Aharon Ben-Tal, Arkadi Nemirovski
DAGM
2004
Springer
14 years 1 months ago
Fast Statistically Geometric Reasoning About Uncertain Line Segments in 2D- and 3D-Space
This work addresses the two major drawbacks of current statistical uncertain geometric reasoning approaches. In the first part a framework is presented, that allows to represent u...
Christian Beder
MOBISYS
2004
ACM
14 years 7 months ago
Exponential Index: A Parameterized Distributed Indexing Scheme for Data on Air
Wireless data broadcast has received a lot of attention from industries and academia in recent years. Access efficiency and energy conservation are two critical performance concer...
Jianliang Xu, Wang-Chien Lee, Xueyan Tang
TKDE
2010
274views more  TKDE 2010»
13 years 6 months ago
Ranked Query Processing in Uncertain Databases
—Recently, many new applications, such as sensor data monitoring and mobile device tracking, raise up the issue of uncertain data management. Compared to “certain” data, the ...
Xiang Lian, Lei Chen 0002
ISRR
2001
Springer
105views Robotics» more  ISRR 2001»
14 years 1 days ago
Towards Robust Data Association and Feature Modeling for Concurrent Mapping and Localization
One of the most challenging aspects of concurrent mapping and localization (CML) is the problem of data association. Because of uncertainty in the origins of sensor measurements, i...
John J. Leonard, Paul M. Newman, Richard J. Rikosk...