349 search results - page 10 / 70 » Information Preserving Dimensionality Reduction |
AAAI
2010
13 years 6 months ago
2010
Dimensionality reduction plays an important role in many machine learning and pattern recognition tasks. In this paper, we present a novel dimensionality reduction algorithm calle...
PAMI
2006
13 years 9 months ago
2006
We provide evidence that non-linear dimensionality reduction, clustering and data set parameterization can be solved within one and the same framework. The main idea is to define ...
ICML
2004
IEEE
14 years 3 months ago
2004
IEEE
We investigate how to learn a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. Noting that the kernel matrix implicitly maps the data into ...
CIARP
2006
Springer
14 years 1 months ago
2006
Springer
Feature selection and dimensionality reduction are crucial research fields in pattern recognition. This work presents the application of a novel technique on dimensionality reducti...
SISAP
2008
IEEE
14 years 4 months ago
2008
IEEE
There are several pieces of information that can be utilized in order to improve the efficiency of similarity searches on high-dimensional data. The most commonly used information...