576 search results - page 88 / 116 » Structured metric learning for high dimensional problems |
133
Voted
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...
163
Voted
CVPR
2010
IEEE
15 years 7 months ago
2010
IEEE
The automatic detection of lung nodules attached to other pulmonary structures is a useful yet challenging task in lung CAD systems. In this paper, we propose a stratified statist...
175
Voted
ESANN
2006
15 years 5 months ago
2006
The Self-Organizing map (SOM), a powerful method for data mining and cluster extraction, is very useful for processing data of high dimensionality and complexity. Visualization met...
120
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ECML
2001
Springer
15 years 8 months ago
2001
Springer
We present a powerful meta-clustering technique called Iterative Double Clustering (IDC). The IDC method is a natural extension of the recent Double Clustering (DC) method of Slon...
154
Voted
FIMH
2009
Springer
15 years 1 months ago
2009
Springer
Cardiac magnetic resonance (MR) imaging has advanced to become a powerful diagnostic tool in clinical practice. Automatic detection of anatomic landmarks from MR images is importan...