95 search results - page 5 / 19 » Segmentation Based Noise Variance Estimation from Background... |
BMCBI
2006
13 years 7 months ago
2006
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
MICCAI
1999
Springer
13 years 12 months ago
1999
Springer
Abstract. A central problem in the analysis of functional magnetic resonance imaging (fMRI) data is the reliable detection and segmentation of activated areas. Often this goal is a...
ISVC
2009
Springer
14 years 7 days ago
2009
Springer
Foregrounds extracted from the background, which are intended to be used as photorealistic avatars for simulators in a variety of virtual worlds, should satisfy the following four ...
BMCBI
2007
13 years 7 months ago
2007
Background: In many laboratory-based high throughput microarray experiments, there are very few replicates of gene expression levels. Thus, estimates of gene variances are inaccur...
EMMCVPR
1999
Springer
13 years 12 months ago
1999
Springer
This paper considers the use of the EM-algorithm, combined with mean field theory, for parameter estimation in Markov random field models from unlabelled data. Special attention ...