29 search results - page 3 / 6 » Convexity and Bayesian Constrained Local Models |
MICCAI
2009
Springer
14 years 6 months ago
2009
Springer
We describe a technique to simultaneously estimate a weighted, positive-definite multi-tensor fiber model and perform tractography. Existing techniques estimate the local fiber ori...
JGO
2010
13 years 3 months ago
2010
Both optimization and learning play important roles in a system for intelligent tasks. On one hand, we introduce three types of optimization tasks studied in the machine learning l...
IPMI
2009
Springer
14 years 6 months ago
2009
Springer
In this paper, we study the recognition of about 60 sulcal structures over a new T1 MRI database of 62 subjects. It continues our previous work [7] and more specifically extends th...
IJCAI
2003
13 years 6 months ago
2003
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
ISBI
2007
IEEE
13 years 11 months ago
2007
IEEE
Many techniques of knowledge-based segmentation consist of building statistical models that describe the deformations of the structure of interest, and then fit these models to t...