766 search results - page 86 / 154 » Clustering high dimensional data using subspace and projecte... |
CVPR
2000
IEEE
14 years 1 months ago
2000
IEEE
We use cluster analysis as a unifying principle for problems from low, middle and high level vision. The clustering problem is viewed as graph partitioning, where nodes represent ...
NN
2002
Springer
13 years 8 months ago
2002
Springer
The self-organising map (SOM) has been successfully employed as a nonparametric method for dimensionality reduction and data visualisation. However, for visualisation the SOM requ...
AFRIGRAPH
2003
ACM
14 years 13 days ago
2003
ACM
Using a radiosity method to estimate light inter-reflections within large scenes still remains a difficult task. The two main reasons are: (i) the computations entailed by the rad...
GRID
2004
Springer
14 years 2 months ago
2004
Springer
We have developed a threaded parallel data streaming approach using Logistical Networking (LN) to transfer multi-terabyte simulation data from computers at NERSC to our local anal...
JCP
2007
13 years 8 months ago
2007
Abstract— Analyzing unknown data sets such as multispectral images often requires unsupervised techniques. Data clustering is a well known and widely used approach in such cases....