14 search results - page 2 / 3 » Semi-Supervised Clustering with Limited Background Knowledge |
ECML
2006
Springer
13 years 10 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...
BMCBI
2007
13 years 6 months ago
2007
Background: There are some limitations associated with conventional clustering methods for short time-course gene expression data. The current algorithms require prior domain know...
BMCBI
2007
13 years 6 months ago
2007
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
MICCAI
2007
Springer
14 years 7 months ago
2007
Springer
Abstract. Automatic delineation and robust measurement of fetal anatomical structures in 2D ultrasound images is a challenging task due to the complexity of the object appearance, ...
CVPR
2005
IEEE
13 years 8 months ago
2005
IEEE
The segmentation of anatomical structures has been traditionally formulated as a perceptual grouping task, and solved through clustering and variational approaches. However, such ...