429 search results - page 2 / 86 » Unsupervised feature selection for principal components anal... |
ICMCS
2006
IEEE
14 years 9 days ago
2006
IEEE
It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face ...
AIPR
2002
IEEE
13 years 11 months ago
2002
IEEE
Conventional remote sensing classification techniques that model the data in each class with a multivariate Gaussian distribution are inefficient, as this assumption is generally ...
BMCBI
2008
13 years 6 months ago
2008
Background: Large biological data sets, such as expression profiles, benefit from reduction of random noise. Principal component (PC) analysis has been used for this purpose, but ...
WACV
2008
IEEE
14 years 19 days ago
2008
IEEE
In recent years, many researchers are studying object categorization problem. It is reported that bag of keypoints approach which is based on local features without topological in...
IJON
2008
13 years 6 months ago
2008
In many computer vision tasks like face recognition and image retrieval, one is often confronted with high-dimensional data. Procedures that are analytically or computationally ma...