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» Autotuning algorithmic choice for input sensitivity
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CEC
2008
IEEE
13 years 10 months ago
Auto-tuning fuzzy granulation for evolutionary optimization
—Much of the computational complexity in employing evolutionary algorithms as optimization tool is due to the fitness function evaluation that may either not exist or be computat...
Mohsen Davarynejad, Mohammad R. Akbarzadeh-Totonch...
COMPGEOM
2001
ACM
13 years 8 months ago
A practical approach for computing the diameter of a point set
We present an approximation algorithm for computing the diameter of a point-set in d-dimensions. The new algorithm is sensitive to the "hardness" of computing the diamet...
Sariel Har-Peled
ICCV
2003
IEEE
14 years 6 months ago
Fast Pose Estimation with Parameter-Sensitive Hashing
Example-based methods are effective for parameter estimation problems when the underlying system is simple or the dimensionality of the input is low. For complex and high-dimensio...
Gregory Shakhnarovich, Paul A. Viola, Trevor Darre...
ICCV
2009
IEEE
14 years 9 months ago
Label Set Perturbation for MRF based Neuroimaging Segmentation
Graph-cuts based algorithms are effective for a variety of segmentation tasks in computer vision. Ongoing research is focused toward making the algorithms even more general, as ...
Dylan Hower, Vikas Singh, Sterling C. Johnson
IJCNN
2000
IEEE
13 years 7 months ago
Unsupervised Classification of Complex Clusters in Networks of Spiking Neurons
For unsupervised clustering in a network of spiking neurons we develop a temporal encoding of continuously valued data to obtain arbitrary clustering capacity and precision with a...
Sander M. Bohte, Johannes A. La Poutré, Joo...