2200 search results - page 36 / 440 » Objective reduction using a feature selection technique |
ECCV
2010
Springer
14 years 2 months ago
2010
Springer
This paper presents algorithms for efficiently computing the covariance matrix for features that form sub-windows in a large multidimensional image. For example, several image proc...
VLSISP
2002
13 years 8 months ago
2002
Dimensionality reduction is an important problem in pattern recognition. There is a tendency of using more and more features to improve the performance of classifiers. However, not...
JGO
2010
13 years 7 months ago
2010
In this paper, the global optimization problem with an objective function that is multiextremal that satisfies the Lipschitz condition over a hypercube is considered. An algorithm...
TAL
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. Most common feature selection techniques for document categorization are supervised and require lots of training data in order to accurately capture the descriptive and d...
DAC
2006
ACM
14 years 10 months ago
2006
ACM
Due to the shrinking of feature size and reduction in supply voltages, nanoscale circuits have become more susceptible to radiation induced transient faults. In this paper, we pre...