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» A Genetic Algorithm Applied to the Maximum Flow Problem
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ICCV
2005
IEEE
15 years 8 months ago
Fast Global Kernel Density Mode Seeking with Application to Localisation and Tracking
We address the problem of seeking the global mode of a density function using the mean shift algorithm. Mean shift, like other gradient ascent optimisation methods, is susceptible...
Chunhua Shen, Michael J. Brooks, Anton van den Hen...
RTSS
2008
IEEE
15 years 9 months ago
Fast Sensor Placement Algorithms for Fusion-Based Target Detection
Mission-critical target detection imposes stringent performance requirements for wireless sensor networks, such as high detection probabilities and low false alarm rates. Data fus...
Zhaohui Yuan, Rui Tan, Guoliang Xing, Chenyang Lu,...
ASPDAC
2009
ACM
161views Hardware» more  ASPDAC 2009»
15 years 9 months ago
Risk aversion min-period retiming under process variations
— Recent advances in statistical timing analysis (SSTA) achieve great success in computing arrival times under variations by extending sum and maximum operations to random variab...
Jia Wang, Hai Zhou
ALENEX
2008
180views Algorithms» more  ALENEX 2008»
15 years 4 months ago
Geometric Algorithms for Optimal Airspace Design and Air Traffic Controller Workload Balancing
The National Airspace System (NAS) is designed to accommodate a large number of flights over North America. For purposes of workload limitations for air traffic controllers, the a...
Amitabh Basu, Joseph S. B. Mitchell, Girishkumar S...
TNN
2010
234views Management» more  TNN 2010»
14 years 10 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes