Sciweavers

58 search results - page 11 / 12
» Ensemble-Vis: A Framework for the Statistical Visualization ...
Sort
View
UAI
1996
13 years 7 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
BMCBI
2011
13 years 23 days ago
The PathOlogist: An Automated Tool for Pathway-Centric Analysis
Background: The PathOlogist is a new tool designed to transform large sets of gene expression data into quantitative descriptors of pathway-level behavior. The tool aims to provid...
Sharon I. Greenblum, Sol Efroni, Carl F. Schaefer,...
ICDM
2007
IEEE
173views Data Mining» more  ICDM 2007»
14 years 17 days ago
Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models
Statistical topic models such as the Latent Dirichlet Allocation (LDA) have emerged as an attractive framework to model, visualize and summarize large document collections in a co...
Ramesh Nallapati, Amr Ahmed, William W. Cohen, Eri...
IVC
2011
190views more  IVC 2011»
13 years 1 months ago
A graphical model based solution to the facial feature point tracking problem
In this paper a facial feature point tracker that is motivated by applications such as human-computer interfaces and facial expression analysis systems is proposed. The proposed t...
Serhan Cosar, Müjdat Çetin
MICCAI
2003
Springer
14 years 7 months ago
Assessing Early Brain Development in Neonates by Segmentation of High-Resolution 3T MRI
Abstract. This paper describes effort towards automatic tissue segmentation in neonatal MRI. Extremely low contrast to noise ratio (CNR), regional intensity changes due to RF coil ...
Guido Gerig, Marcel Prastawa, Weili Lin, John H. G...