26 search results - page 5 / 6 » Bayesian regression with input noise for high dimensional da... |
BIOINFORMATICS
2005
13 years 5 months ago
2005
Motivation: The issue of high dimensionality in microarray data has been, and remains, a hot topic in statistical and computational analysis. Efficient gene filtering and differen...
ECCV
2000
Springer
14 years 7 months ago
2000
Springer
This paper considers a fundamental problem in visual motion perception, namely the problem of egomotion estimation based on visual input. Many of the existing techniques for solvin...
CSDA
2007
13 years 5 months ago
2007
The Lasso is an attractive regularisation method for high dimensional regression. It combines variable selection with an efficient computational procedure. However, the rate of co...
ICML
2000
IEEE
14 years 6 months ago
2000
IEEE
Humanoid robots are high-dimensional movement systems for which analytical system identification and control methods are insufficient due to unknown nonlinearities in the system s...
ICDE
2010
IEEE
13 years 4 months ago
2010
IEEE
Abstract— We propose the Multi-resolution Correlation Cluster detection (MrCC), a novel, scalable method to detect correlation clusters able to analyze dimensional data in the ra...