544 search results - page 22 / 109 » Clustering with Instance-level Constraints |
FLAIRS
2004
13 years 9 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
13 years 11 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...
PVLDB
2008
13 years 6 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
14 years 9 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
13 years 11 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...