330 search results - page 18 / 66 » Isosurfacing in higher dimensions |
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
VLDB
2007
ACM
14 years 7 months ago
2007
ACM
Abstract The notorious "dimensionality curse" is a wellknown phenomenon for any multi-dimensional indexes attempting to scale up to high dimensions. One well-known approa...
ADC
2003
Springer
14 years 27 days ago
2003
Springer
In this paper, we propose a new metric index, called M+ -tree, which is a tree dynamically organized for large datasets in metric spaces. The proposed M+ -tree takes full advantag...
JCAM
2011
12 years 10 months ago
2011
Root lattices are efficient sampling lattices for reconstructing isotropic signals in arbitrary dimensions, due to their highly symmetric structure. One root lattice, the Cartesia...
SIGGRAPH
1992
ACM
13 years 11 months ago
1992
ACM
This paper presents an automatic method of creating surface models at several levels of detail from an original polygonal description of a given object. Representing models at var...