5740 search results - page 311 / 1148 » Application of Level Set Methods in Computer Vision |
205
click to vote
BMCBI
2005
15 years 7 months ago
2005
Background: Functional analysis of data from genome-scale experiments, such as microarrays, requires an extensive selection of differentially expressed genes. Under many condition...
202
click to vote
ICASSP
2007
IEEE
16 years 1 months ago
2007
IEEE
This paper proposes a novel feature selection method based on twostage analysis of Fisher Ratio and Mutual Information for robust Brain Computer Interface. This method decomposes ...
209
click to vote
BMVC
2000
15 years 8 months ago
2000
The cross ratio has wide applications in computer vision because of its invariance under projective transformation. In active vision where the projections of quadruples of colline...
182
click to vote
ICPR
2006
IEEE
16 years 8 months ago
2006
IEEE
Linear feature detection is a very important issue in the areas of image analysis, computer vision, and pattern recognition. It has found applications in many diverse areas such a...
182
click to vote
SAC
2008
ACM
15 years 6 months ago
2008
ACM
Standard methods for maximum likelihood parameter estimation in latent variable models rely on the Expectation-Maximization algorithm and its Monte Carlo variants. Our approach is ...