364 search results - page 35 / 73 » Uncertain Clustering: Models, Methods and Applications |
194
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ICDE
2006
IEEE
15 years 11 months ago
2006
IEEE
In applications of biometric databases the typical task is to identify individuals according to features which are not exactly known. Reasons for this inexactness are varying meas...
143
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ICCV
2009
IEEE
16 years 2 months ago
2009
IEEE
We present an efficient method for feature correspondence and object-based image matching, which exploits both photometric similarity and pairwise geometric consistency from local ...
ISAAC
2009
Springer
15 years 4 months ago
2009
Springer
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
RAS
2007
14 years 9 months ago
2007
We use a decomposition approach to generate cooperative strategies for a class of multi-vehicle control problems. By introducing a set of tasks to be completed by the team of vehi...
ILP
2005
Springer
15 years 3 months ago
2005
Springer
Clustering is a fundamental task in Spatial Data Mining where data consists of observations for a site (e.g. areal units) descriptive of one or more (spatial) primary units, possib...