403 search results - page 6 / 81 » Metric and Kernel Learning Using a Linear Transformation |
133
Voted
ALT
2001
Springer
16 years 22 days ago
2001
Springer
This paper concerns the design of a Support Vector Machine (SVM) appropriate for the learning of Boolean functions. This is motivated by the need of a more sophisticated algorithm ...
159
Voted
CVPR
2009
IEEE
15 years 1 months ago
2009
IEEE
The IMage Euclidean Distance (IMED) is a class of image metrics, in which the spatial relationship between pixels is taken into consideration. It was shown that calculating the IM...
171
Voted
ICCV
2011
IEEE
14 years 3 months ago
2011
IEEE
Rank correlation measures are known for their resilience to perturbations in numeric values and are widely used in many evaluation metrics. Such ordinal measures have rarely been ...
119
Voted
IJCNN
2008
IEEE
15 years 10 months ago
2008
IEEE
Abstract— In this paper, we present an effective computational approach for learning patterns of brain activity from the fMRI data. The procedure involved correcting motion artif...
137
Voted
ICMLA
2009
15 years 1 months ago
2009
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...