172 search results - page 9 / 35 » Fast covariance estimation for high-dimensional functional d... |
88
Voted
CSDA
2008
14 years 9 months ago
2008
A computationally fast procedure for identifying outliers is presented, that is particularly effective in high dimensions. This algorithm utilizes simple properties of principal c...
81
Voted
MICCAI
2010
Springer
14 years 8 months ago
2010
Springer
High Angular Resolution Imaging (HARDI) can better explore the complex micro-structure of white matter compared to Diffusion Tensor Imaging (DTI). Orientation Distribution Functio...
GRAPHICSINTERFACE
2003
14 years 11 months ago
2003
The high dimensionality of the BRDF makes it difficult to use measured data for hardware rendering. Common solutions to overcome this problem include expressing a BRDF as a sum o...
IVC
2007
14 years 9 months ago
2007
- Canonical correlation analysis (CCA) is a major linear subspace approach to dimensionality reduction and has been applied to image processing, pose estimation and other fields. H...
CSDA
2010
14 years 8 months ago
2010
The goal of this work is to study the asymptotic and finite sample properties of an estimator of a nonlinear regression function when errors are spatially correlated, and when the...