811 search results - page 24 / 163 » Minimal Kernel Classifiers |
88
Voted
ICCV
2009
IEEE
14 years 7 months ago
2009
IEEE
In this paper, we propose a group-sensitive multiple kernel learning (GS-MKL) method to accommodate the intra-class diversity and the inter-class correlation for object categoriza...
94
Voted
ICIP
2010
IEEE
14 years 7 months ago
2010
IEEE
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
82
Voted
JMLR
2008
14 years 9 months ago
2008
Ensemble learning algorithms such as boosting can achieve better performance by averaging over the predictions of some base hypotheses. Nevertheless, most existing algorithms are ...
ICCV
2007
IEEE
15 years 4 months ago
2007
IEEE
Kernel classifiers based on Support Vector Machines (SVM) have recently achieved state-of-the art results on several popular datasets like Caltech or Pascal. This was possible by...
57
Voted
APSEC
2006
IEEE
15 years 3 months ago
2006
IEEE
It is widely accepted that strong coupling such as common coupling should be used with caution among modules. Linux kernel is analyzed in terms of these common coupling instances ...