540 search results - page 15 / 108 » Dimensionality Reduction for Data in Multiple Feature Repres... |
ICMCS
1999
IEEE
13 years 11 months ago
1999
IEEE
We introduce a novel method for three-dimensional metamorphosis between two polyhedral objects with different topologies. The 3D objects are represented as multiple 2D images and ...
ICML
2007
IEEE
14 years 7 months ago
2007
IEEE
Distance metric learning and nonlinear dimensionality reduction are two interesting and active topics in recent years. However, the connection between them is not thoroughly studi...
CIDM
2007
IEEE
14 years 1 months ago
2007
IEEE
Clustering large data sets with high dimensionality is a challenging data-mining task. This paper presents a framework to perform such a task efficiently. It is based on the notio...
ICML
2005
IEEE
14 years 7 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...
PKDD
2010
Springer
13 years 4 months ago
2010
Springer
The foremost nonlinear dimensionality reduction algorithms provide an embedding only for the given training data, with no straightforward extension for test points. This shortcomin...