331 search results - page 21 / 67 » Possibilistic Clustering in Feature Space |
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
EMMCVPR
2001
Springer
14 years 7 days ago
2001
Springer
Most cost function based clustering or partitioning methods measure the compactness of groups of data. In contrast to this picture of a point source in feature space, some data sou...
SBACPAD
2005
IEEE
14 years 1 months ago
2005
IEEE
The time required to simulate a complete benchmark program using the cycle-accurate model of a microprocessor can be prohibitively high. One of the proposed methodologies, represe...
IIS
2003
13 years 9 months ago
2003
Text clustering typically involves clustering in a high dimensional space, which appears difficult with regard to virtually all practical settings. In addition, given a particular...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
A meaningful affinity measure between pixels is essential for many computer vision and image processing applications. We propose an algorithm that works in the features' hist...