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SIAMJO
2008
72views more  SIAMJO 2008»
15 years 6 months ago
A Sample Approximation Approach for Optimization with Probabilistic Constraints
We study approximations of optimization problems with probabilistic constraints in which the original distribution of the underlying random vector is replaced with an empirical dis...
James Luedtke, Shabbir Ahmed
CORR
2008
Springer
127views Education» more  CORR 2008»
15 years 4 months ago
Flexible Time-Triggered Sampling in Smart Sensor-Based Wireless Control Systems
: Wireless control systems (WCSs) often have to operate in dynamic environments where the network traffic load may vary unpredictably over time. The sampling in sensors is conventi...
Feng Xia, Wenhong Zhao
ICPR
2004
IEEE
16 years 7 months ago
Learning Sample Subspace with Application to Face Detection
In this paper, we present a novel maximum correlation sample subspace method and apply it to human face detection [1] in still images. The algorithm starts by projecting all the t...
Guoping Qiu, Jianzhong Fang
EUROPAR
2009
Springer
16 years 18 days ago
Uniform Sampling for Directed P2P Networks
Selecting a random peer with uniform probability across a peer-to-peer (P2P) network is a fundamental function for unstructured search, data replication, and monitoring algorithms....
Cyrus P. Hall, Antonio Carzaniga
174
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IPPS
2006
IEEE
16 years 2 days ago
Design and analysis of a multi-dimensional data sampling service for large scale data analysis applications
Sampling is a widely used technique to increase efficiency in database and data mining applications operating on large dataset. In this paper we present a scalable sampling imple...
Xi Zhang, Tahsin M. Kurç, Joel H. Saltz, Sr...