511 search results - page 47 / 103 » The intrinsic dimensionality of graphs |
ICIP
2007
IEEE
14 years 4 months ago
2007
IEEE
This paper develops a classification algorithm in the framework of spectral graph theory where the underlying manifold of a high dimensional data set is described by a graph. The...
AAAI
2004
13 years 11 months ago
2004
Abstract-- Learning by imitation and learning from demonstration have received considerable attention in robotics. However, very little research has been in the direction of provid...
TOG
2008
13 years 9 months ago
2008
This paper addresses the problem of interactively modeling large street networks. We introduce a modeling framework that uses tensor fields to guide the generation of a street gra...
CVPR
2007
IEEE
14 years 12 months ago
2007
IEEE
Discriminant Analysis (DA) methods have demonstrated their utility in countless applications in computer vision and other areas of research ? especially in the C class classificat...
COMPGEOM
2009
ACM
14 years 4 months ago
2009
ACM
Nonlinear dimensionality reduction (NLDR) algorithms such as Isomap, LLE and Laplacian Eigenmaps address the problem of representing high-dimensional nonlinear data in terms of lo...