192 search results - page 26 / 39 » Coarse-to-Fine Statistical Shape Model by Bayesian Inference |
VISAPP
2007
14 years 10 months ago
2007
We introduce one module in a cognitive system that learns the shape of objects by active exploration. More specifically, we propose a feature tracking scheme that makes use of the...
COLT
1999
Springer
15 years 1 months ago
1999
Springer
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
85
Voted
NIPS
2003
14 years 11 months ago
2003
What happens to the optimal interpretation of noisy data when there exists more than one equally plausible interpretation of the data? In a Bayesian model-learning framework the a...
BMCBI
2010
14 years 9 months ago
2010
Background: Microarray data discretization is a basic preprocess for many algorithms of gene regulatory network inference. Some common discretization methods in informatics are us...
100
click to vote
IPMI
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. The detection and extraction of complex anatomical structures usually involves a trade-off between the complexity of local feature extraction and classification, and th...