544 search results - page 22 / 109 » Clustering with Instance-level Constraints |
FLAIRS
2004
14 years 11 months ago
2004
Clustering is a form of unsupervised machine learning. In this paper, we proposed the DBRS_O method to identify clusters in the presence of intersected obstacles. Without doing an...
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
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PVLDB
2008
14 years 8 months ago
2008
Data clustering is a difficult problem due to the complex and heterogeneous natures of multidimensional data. To improve clustering accuracy, we propose a scheme to capture the lo...
ICCV
2005
IEEE
15 years 11 months ago
2005
IEEE
We present an efficient spectral method for finding consistent correspondences between two sets of features. We build the adjacency matrix M of a graph whose nodes represent the p...
ICPR
2010
IEEE
15 years 1 months ago
2010
IEEE
In this paper, we propose a framework for isolating text regions from natural scene images. The main algorithm has two functions: it generates text region candidates, and it veriï...