137 search results - page 8 / 28 » On the number of local minima for the multidimensional assig... |
CVPR
2004
IEEE
13 years 11 months ago
2004
IEEE
We formulate face localization as a Maximum A Posteriori Probability(MAP) problem of finding the best estimation of human face configuration in a given image. The a prior distribu...
PVLDB
2008
13 years 6 months ago
2008
Data clustering is a difficult problem due to the complex and heterogeneous natures of multidimensional data. To improve clustering accuracy, we propose a scheme to capture the lo...
ISDA
2008
IEEE
14 years 2 months ago
2008
IEEE
Both simulated annealing (SA) and the genetic algorithms (GA) are stochastic and derivative-free optimization technique. SA operates on one solution at a time, while the GA mainta...
IEEEVAST
2010
13 years 2 months ago
2010
Visualization of multi-dimensional data is challenging due to the number of complex correlations that may be present in the data but that are difficult to be visually identified. ...
GECCO
2009
Springer
14 years 7 days ago
2009
Springer
High–dimensional optimization problems appear very often in demanding applications. Although evolutionary algorithms constitute a valuable tool for solving such problems, their ...