117 search results - page 3 / 24 » Dimension Reduction for Supervised Ordering |
98
Voted
ICML
2005
IEEE
15 years 11 months ago
2005
IEEE
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...
96
Voted
NPL
2006
14 years 11 months ago
2006
This paper presents a novel dimension reduction algorithm for kernel based classification. In the feature space, the proposed algorithm maximizes the ratio of the squared between-c...
82
Voted
ICML
2007
IEEE
15 years 11 months ago
2007
IEEE
We study the problem of discovering a manifold that best preserves information relevant to a nonlinear regression. Solving this problem involves extending and uniting two threads ...
79
Voted
CVPR
2007
IEEE
16 years 28 days ago
2007
IEEE
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
BMCBI
2008
14 years 11 months ago
2008
Background: Analysis of gene expression data for tumor classification is an important application of bioinformatics methods. But it is hard to analyse gene expression data from DN...