434 search results - page 68 / 87 » Dimensionality Reduction of Clustered Data Sets |
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
The main motivation for using a multi–objective evolutionary algorithm for finding biclusters in gene expression data is motivated by the fact that when looking for biclusters ...
CGF
1998
13 years 8 months ago
1998
A multiresolution data decomposition offers a fundamental framework supporting compression, progressive transmission, and level-of-detail (LOD) control for large two or three dime...
CVPR
2005
IEEE
14 years 10 months ago
2005
IEEE
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...
ICMLA
2007
13 years 10 months ago
2007
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
ICASSP
2011
IEEE
13 years 13 days ago
2011
IEEE
Recent results seem to cast some doubt over the assumption that improvements in fused recognition accuracy for speaker recognition systems based on different acoustic features are...