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» Optimization by Stochastic Continuation
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CEC
2009
IEEE
15 years 11 months ago
Benchmarking and solving dynamic constrained problems
— Many real-world dynamic optimisation problems have constraints, and in certain cases not only the objective function changes over time, but the constraints also change as well....
Trung Thanh Nguyen, Xin Yao
ICCV
1999
IEEE
16 years 8 months ago
Segmentation of Salient Closed Contours from Real Images
Using a saliency measure based on the global property of contour closure, we have developed a method that reliably segments out salient contours bounding unknown objects from real...
Shyjan Mahamud, Karvel K. Thornber, Lance R. Willi...
ICCV
1999
IEEE
16 years 8 months ago
Measuring Convexity for Figure/Ground Separation
In human perception, convex surfaces have a strong tendency to be perceived as the "figure". Convexity has a stronger influence on figural organization than other global...
Hsing-Kuo Pao, Davi Geiger, Nava Rubin
PERCOM
2008
ACM
16 years 6 months ago
Budget-Based Clustering with Context-awareness for Sensor Networks
As the scale of modern sensor networks continues to grow, energy consumption, scalability and routing efficiency are becoming key design challenges. Network management plays an im...
Jiaxi You, Dominik Lieckfeldt, Matthias Handy, Dir...
ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
16 years 23 days ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu