63 search results - page 4 / 13 » Finding k-dominant skylines in high dimensional space |
CIDM
2007
IEEE
14 years 3 days ago
2007
IEEE
Clustering large data sets with high dimensionality is a challenging data-mining task. This paper presents a framework to perform such a task efficiently. It is based on the notio...
DCG
2008
13 years 5 months ago
2008
Recently there has been a lot of interest in geometrically motivated approaches to data analysis in high dimensional spaces. We consider the case where data is drawn from sampling...
ICDE
2010
IEEE
13 years 4 months ago
2010
IEEE
Abstract— We propose the Multi-resolution Correlation Cluster detection (MrCC), a novel, scalable method to detect correlation clusters able to analyze dimensional data in the ra...
CVPR
2004
IEEE
14 years 7 months ago
2004
IEEE
Multibody grouping is a representative of applying subspace constraints in computer vision tasks. Under linear projection models, feature points of multibody reside in multiple su...
BMCBI
2006
13 years 5 months ago
2006
Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...