1187 search results - page 36 / 238 » The Generalized Dimensionality Reduction Problem |
84
Voted
CVPR
2000
IEEE
15 years 11 months ago
2000
IEEE
The Errors-in-Variables (EIV) model from statistics is often employed in computer vision thoughonlyrarely under this name. In an EIV model all the measurements are corrupted by no...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...
ACMACE
2008
ACM
14 years 11 months ago
2008
ACM
Dimensionality reduction is a statistical tool commonly used to map high-dimensional data into lower a dimensionality. The transformed data is typically more suitable for regressi...
ICPR
2008
IEEE
15 years 11 months ago
2008
IEEE
This paper addresses the problem of 3D face recognition using spherical sparse representations. We first propose a fully automated registration process that permits to align the 3...
68
Voted
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
Dimensionality reduction is the problem of finding a low-dimensional representation of highdimensional input data. This paper examines the case where additional information is kno...