60 search results - page 5 / 12 » On Dimensionality of Embedding Space in Multidimensional Sca... |
IBPRIA
2003
Springer
14 years 27 days ago
2003
Springer
The dimensionality of the input data often far exceeds their intrinsic dimensionality. As a result, it may be difficult to recognize multidimensional data, especially if the number...
ECCV
2004
Springer
14 years 9 months ago
2004
Springer
In recent work, we presented a framework for many-to-many matching of multi-scale feature hierarchies, in which features and their relations were captured in a vertex-labeled, edge...
COMGEO
2004
ACM
13 years 7 months ago
2004
ACM
We present a novel hierarchical force-directed method for drawing large graphs. Given a graph G = (V,E), the algorithm produces an embedding for G in an Euclidean space E of any d...
BIOWIRE
2007
Springer
14 years 1 months ago
2007
Springer
Random projection (RP) is a common technique for dimensionality reduction under L2 norm for which many significant space embedding results have been demonstrated. In particular, r...
VISSYM
2003
13 years 9 months ago
2003
Traditional visualization techniques for multidimensional data sets, such as parallel coordinates, glyphs, and scatterplot matrices, do not scale well to high numbers of dimension...