894 search results - page 9 / 179 » Learning to cluster using local neighborhood structure |
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
Embedding images into a low dimensional space has a wide range of applications: visualization, clustering, and pre-processing for supervised learning. Traditional dimension reduct...
115
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ADBIS
2007
Springer
15 years 3 months ago
2007
Springer
The method of self-organizing maps (SOM) is a method of exploratory data analysis used for clustering and projecting multi-dimensional data into a lower-dimensional space to reveal...
ICML
1995
IEEE
15 years 10 months ago
1995
IEEE
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
MICCAI
2010
Springer
14 years 8 months ago
2010
Springer
Segmentation of surgical devices in fluoroscopic images and in particular of guide-wires is a valuable element during surgery. In cardiac angioplasty, the problem is particularly ...
81
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ICIP
2001
IEEE
15 years 11 months ago
2001
IEEE
The use of higher-order local autocorrelations as features for pattern recognition has been acknowledged since many years, but their applicability was restricted to relatively low...