254 search results - page 8 / 51 » Evaluation of dimensionality reduction methods for image aut... |
TNN
2008
14 years 9 months ago
2008
Abstract--High-dimensional data are common in many domains, and dimensionality reduction is the key to cope with the curse-of-dimensionality. Linear discriminant analysis (LDA) is ...
SAC
2005
ACM
15 years 3 months ago
2005
ACM
Video and image datasets can often be described by a small number of parameters, even though each image usually consists of hundreds or thousands of pixels. This observation is of...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
We consider the task of dimensionality reduction for regression (DRR) whose goal is to find a low dimensional representation of input covariates, while preserving the statistical ...
CIKM
2009
Springer
15 years 4 months ago
2009
Springer
Wikipedia is the largest monolithic repository of human knowledge. In addition to its sheer size, it represents a new encyclopedic paradigm by interconnecting articles through hyp...
CIKM
2008
Springer
14 years 11 months ago
2008
Springer
Random projection (RP) is a common technique for dimensionality reduction under L2 norm for which many significant space embedding results have been demonstrated. However, many si...