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» The deterministic global optimization algorithm DIRECT
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CVPR
2004
IEEE
14 years 8 months ago
Learning a Restricted Bayesian Network for Object Detection
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
Henry Schneiderman
CIKM
2010
Springer
13 years 4 months ago
Learning to rank relevant and novel documents through user feedback
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
Abhimanyu Lad, Yiming Yang
WSC
1997
13 years 7 months ago
Selective Rerouting Using Simulated Steady State System Data
Effective operational control of a manufacturing system that has routing flexibility is dependent upon being able to make informed real-time decisions in the event of a system dis...
Catherine M. Harmonosky, Robert H. Farr, Ming-Chua...
INTEGRATION
2006
82views more  INTEGRATION 2006»
13 years 6 months ago
On whitespace and stability in physical synthesis
In the context of physical synthesis, large-scale standard-cell placement algorithms must facilitate incremental changes to layout, both local and global. In particular, flexible ...
Saurabh N. Adya, Igor L. Markov, Paul G. Villarrub...
RTSS
2009
IEEE
14 years 21 days ago
Spatiotemporal Delay Control for Low-Duty-Cycle Sensor Networks
—Data delivery is a major function of sensor network applications. Many applications, such as military surveillance, require the detection of interested events to be reported to ...
Yu Gu, Tian He, Mingen Lin, Jinhui Xu