181 search results - page 4 / 37 » Graph Embedding: A General Framework for Dimensionality Redu... |
ACTA
2005
13 years 5 months ago
2005
A general framework for typing graph rewriting systems is presented: the idea is to statically derive a type graph from a given graph. In contrast to the original graph, the type g...
ICPR
2008
IEEE
14 years 7 months ago
2008
IEEE
In this paper, we propose a new nonlinear dimensionality reduction algorithm by adopting regularized least-square criterion on local areas of the data distribution. We first propo...
ICMLA
2008
13 years 7 months ago
2008
Dimension reduction techniques have been successfully applied to face recognition and text information retrieval. The process can be time-consuming when the data set is large. Thi...
CVPR
2008
IEEE
14 years 8 months ago
2008
IEEE
Linear Discriminant Analysis (LDA) is one of the wellknown methods for supervised dimensionality reduction. Over the years, many LDA-based algorithms have been developed to cope w...
BMVC
2010
13 years 4 months ago
2010
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...