14 search results - page 2 / 3 » Semi-Supervised Clustering with Limited Background Knowledge |
ECML
2006
Springer
14 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...
BMCBI
2007
13 years 10 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 9 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 10 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 11 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 ...