113 search results - page 14 / 23 » Linear and Non-Linear Model for Statistical Localization of ... |
BMCBI
2008
13 years 7 months ago
2008
Background: Recently, microarray data analyses using functional pathway information, e.g., gene set enrichment analysis (GSEA) and significance analysis of function and expression...
NN
2006
Springer
13 years 7 months ago
2006
Springer
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
ICRA
2010
IEEE
13 years 6 months ago
2010
IEEE
— One of the main drawbacks of standard visual EKF-SLAM techniques is the assumption of a general camera motion model. Usually this motion model has been implemented in the liter...
FOCS
1999
IEEE
13 years 11 months ago
1999
IEEE
Mixtures of Gaussians are among the most fundamental and widely used statistical models. Current techniques for learning such mixtures from data are local search heuristics with w...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...