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AISB
1994
Springer
15 years 3 months ago
An Empirical Comparison of Selection Methods in Evolutionary Algorithms
Selection methods in Evolutionary Algorithms, including Genetic Algorithms, Evolution Strategies ES and Evolutionary Programming, EP are compared by observing the rate of converge...
Peter J. B. Hancock
ICB
2009
Springer
159views Biometrics» more  ICB 2009»
15 years 5 months ago
Multilinear Tensor-Based Non-parametric Dimension Reduction for Gait Recognition
The small sample size problem and the difficulty in determining the optimal reduced dimension limit the application of subspace learning methods in the gait recognition domain. To...
Changyou Chen, Junping Zhang, Rudolf Fleischer
BMCBI
2006
202views more  BMCBI 2006»
14 years 11 months ago
Spectral embedding finds meaningful (relevant) structure in image and microarray data
Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...
Brandon W. Higgs, Jennifer W. Weller, Jeffrey L. S...
CIKM
2008
Springer
15 years 25 days ago
Modeling LSH for performance tuning
Although Locality-Sensitive Hashing (LSH) is a promising approach to similarity search in high-dimensional spaces, it has not been considered practical partly because its search q...
Wei Dong, Zhe Wang, William Josephson, Moses Chari...
93
Voted
SAT
2004
Springer
131views Hardware» more  SAT 2004»
15 years 4 months ago
A Comparative Study of 2QBF Algorithms
2QBF is the problem of evaluating a Quantified Boolean Formula (QBF) with two levels of quantification. Many practical problems in sequential verification can be formulated as i...
Darsh P. Ranjan, Daijue Tang, Sharad Malik