290 search results - page 21 / 58 » Learning hierarchical similarity metrics |
PR
2006
13 years 7 months ago
2006
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
RECOMB
2009
Springer
14 years 8 months ago
2009
Springer
Abstract. Hierarchical clustering is a popular method for grouping together similar elements based on a distance measure between them. In many cases, annotation information for som...
CVPR
2010
IEEE
13 years 12 months ago
2010
IEEE
This paper presents a codebook learning approach for image classification and retrieval. It corresponds to learning a weighted similarity metric to satisfy that the weighted simil...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
In this paper we present a hierarchical, learning-based approach for automatic and accurate liver segmentation from 3D CT volumes. We target CT volumes that come from largely dive...
ICCV
1998
IEEE
13 years 11 months ago
1998
IEEE
One of the key problems in appearance-based vision is understanding how to use a set of labeled images to classify new images. Classification systems that can model human performa...