132 search results - page 25 / 27 » Learning Adaptive Parameters with Restricted Genetic Optimiz... |
CGO
2007
IEEE
14 years 2 months ago
2007
IEEE
This paper proposes the use of empirical modeling techniques for building microarchitecture sensitive models for compiler optimizations. The models we build relate program perform...
CVPR
2012
IEEE
11 years 11 months ago
2012
IEEE
In real-world applications of visual recognition, many factors—such as pose, illumination, or image quality—can cause a significant mismatch between the source domain on whic...
ICCV
2003
IEEE
14 years 10 months ago
2003
IEEE
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
GPEM
2008
13 years 8 months ago
2008
Efficiency enhancement techniques--such as parallelization and hybridization--are among the most important ingredients of practical applications of genetic and evolutionary algori...
IJON
2006
13 years 8 months ago
2006
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...