1491 search results - page 75 / 299 » Training Linear Discriminant Analysis in Linear Time |
CORR
2008
Springer
14 years 10 months ago
2008
Springer
: Applications such as Face Recognition (FR) that deal with high-dimensional data need a mapping technique that introduces representation of low-dimensional features with enhanced ...
CVPR
2007
IEEE
15 years 12 months ago
2007
IEEE
A novel algorithm called Average Neighborhood Margin Maximization (ANMM) is proposed for supervised linear feature extraction. For each data point, ANMM aims at pulling the neighb...
IWANN
2005
Springer
15 years 3 months ago
2005
Springer
Linear Discriminant Analysis (LDA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
ICPR
2008
IEEE
15 years 11 months ago
2008
IEEE
We propose a feature selection method that constructs each new feature by analysis of tight error clusters. This is a greedy, time-efficient forward selection algorithm that itera...
BMCBI
2008
14 years 10 months ago
2008
Background: Bioactivity profiling using high-throughput in vitro assays can reduce the cost and time required for toxicological screening of environmental chemicals and can also r...