12 search results - page 1 / 3 » Optimal linear projections for enhancing desired data statis... |
SAC
2010
ACM
13 years 3 months ago
2010
ACM
Problems involving high-dimensional data, such as pattern recognition, image analysis, and gene clustering, often require a preliminary step of dimension reduction before or durin...
ICIP
2003
IEEE
14 years 6 months ago
2003
IEEE
Using a novel data dimension reduction method proposed in statistics, we develop an appearance-based face recognition algorithm which is insensitive to large variation in lighting...
ICCV
2011
IEEE
12 years 4 months ago
2011
IEEE
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
ISCAS
2006
IEEE
13 years 10 months ago
2006
IEEE
This paper proposes two new methods for optimizing objectives and constraints. The GP approach is very general and hardware resources in finite wordlength implementation of it allo...
CIDM
2011
IEEE
12 years 8 months ago
2011
IEEE
Abstract—A variational approach is proposed for the unsupervised assessment of attribute variability of high-dimensional data given a differentiable similarity measure. The key q...