4629 search results - page 81 / 926 » Space Kernel Analysis |
124
click to vote
IJCNN
2006
IEEE
15 years 11 months ago
2006
IEEE
Abstract— During the last years, high throughput experiments have become very popular. During the analysis of such data the need for a functional grouping of genes arises. In thi...
160
click to vote
ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
176
click to vote
SSPR
2010
Springer
15 years 3 months ago
2010
Springer
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
151
click to vote
CORR
2008
Springer
15 years 5 months ago
2008
Springer
Maximum Variance Unfolding (MVU) and its variants have been very successful in embedding data-manifolds in lower dimensionality spaces, often revealing the true intrinsic dimensio...
158
click to vote
PR
2010
15 years 3 months ago
2010
We develop a supervised dimensionality reduction method, called Lorentzian Discriminant Projection (LDP), for feature extraction and classification. Our method represents the str...