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SSDBM
2006
IEEE
123views Database» more  SSDBM 2006»
14 years 2 months ago
Mining Hierarchies of Correlation Clusters
The detection of correlations between different features in high dimensional data sets is a very important data mining task. These correlations can be arbitrarily complex: One or...
Elke Achtert, Christian Böhm, Peer Kröge...
INFORMATICALT
2008
124views more  INFORMATICALT 2008»
13 years 8 months ago
Hierarchical Adaptive Clustering
This paper studies an adaptive clustering problem. We focus on re-clustering an object set, previously clustered, when the feature set characterizing the objects increases. We prop...
Gabriela Serban, Alina Campan
CVPR
2008
IEEE
14 years 10 months ago
A quasi-random sampling approach to image retrieval
In this paper, we present a novel approach to contentsbased image retrieval. The method hinges in the use of quasi-random sampling to retrieve those images in a database which are...
Jun Zhou, Antonio Robles-Kelly
ICOODB
2010
117views Database» more  ICOODB 2010»
13 years 7 months ago
iBLOB: Complex Object Management in Databases through Intelligent Binary Large Objects
Abstract. New emerging applications including genomic, multimedia, and geospatial technologies have necessitated the handling of complex application objects that are highly structu...
Tao Chen, Arif Khan, Markus Schneider, Ganesh Visw...
ICDM
2009
IEEE
152views Data Mining» more  ICDM 2009»
13 years 6 months ago
A Sparsification Approach for Temporal Graphical Model Decomposition
Temporal causal modeling can be used to recover the causal structure among a group of relevant time series variables. Several methods have been developed to explicitly construct te...
Ning Ruan, Ruoming Jin, Victor E. Lee, Kun Huang