1301 search results - page 113 / 261 » Default Clustering from Sparse Data Sets |
MICCAI
2006
Springer
14 years 10 months ago
2006
Springer
Nonlinear image registration is a prerequisite for a variety of medical image analysis tasks. A frequently used registration method is based on manually or automatically derived po...
MICCAI
2004
Springer
14 years 10 months ago
2004
Springer
In this paper we present a framework for unsupervised segmentation of white matter fiber traces obtained from diffusion weighted MRI data. Fiber traces are compared pairwise to cre...
IDEAL
2000
Springer
14 years 22 days ago
2000
Springer
Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...
BMCBI
2010
13 years 4 months ago
2010
Background: Nonparametric Bayesian techniques have been developed recently to extend the sophistication of factor models, allowing one to infer the number of appropriate factors f...
CVPR
2011
IEEE
13 years 4 months ago
2011
IEEE
In this paper, a Random Field Topic (RFT) model is proposed for semantic region analysis from motions of objects in crowded scenes. Different from existing approaches of learning ...