181 search results - page 10 / 37 » Graph Embedding: A General Framework for Dimensionality Redu... |
101
Voted
PR
2006
14 years 9 months ago
2006
In the past few years, some nonlinear dimensionality reduction (NLDR) or nonlinear manifold learning methods have aroused a great deal of interest in the machine learning communit...
ESA
2007
Springer
15 years 3 months ago
2007
Springer
We introduce a general framework for processing a set of curves defined on a continuous two-dimensional parametric surface, while sweeping the parameter space. We can handle plan...
96
Voted
MM
2005
ACM
15 years 3 months ago
2005
ACM
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...
SIAMDM
2000
14 years 9 months ago
2000
We present a mathematical model for network routing based on generating paths in a consistent direction. Our development is based on an algebraic and geometric framework for defini...
GG
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. In the context of graph transformation we look at the operation of switching, which can be viewed as an elegant method for realizing global transformations of (group-labe...