18 search results - page 3 / 4 » K-means Clustering with Feature Hashing |
ICCV
2003
IEEE
14 years 7 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...
SC
2004
ACM
13 years 10 months ago
2004
ACM
Cluster-based storage systems are popular for data-intensive applications and it is desirable yet challenging to provide incremental expansion and high availability while achievin...
CCE
2006
13 years 5 months ago
2006
Complex kinetic mechanisms involving thousands of reacting species and tens of thousands of reactions are currently required for the rational analysis of modern combustion systems...
ICIP
2010
IEEE
13 years 3 months ago
2010
IEEE
Copy-move tampering is a common type of image synthesizing, where a part of an image is copied and pasted to another place to add or remove an object. In this paper, an efficient ...
SSDBM
2005
IEEE
13 years 11 months ago
2005
IEEE
Advanced Data Mining applications require more and more support from relational database engines. Especially clustering applications in high dimensional features space demand a pr...