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» An efficient clustering method for k-anonymization
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IDEAS
1999
IEEE
123views Database» more  IDEAS 1999»
14 years 1 months ago
Improving OLAP Performance by Multidimensional Hierarchical Clustering
Data-warehousing applications cope with enormous data sets in the range of Gigabytes and Terabytes. Queries usually either select a very small set of this data or perform aggregat...
Volker Markl, Frank Ramsak, Rudolf Bayer
CASCON
1992
134views Education» more  CASCON 1992»
13 years 10 months ago
Cluster busting in anchored graph drawing
Given a graph G and a drawing or layout of G, it is sometimes desirable to alter or adjust the layout. The challenging aspect of designing layout adjustment algorithms is to maint...
Kelly A. Lyons
ICRA
2008
IEEE
204views Robotics» more  ICRA 2008»
14 years 3 months ago
Active exploration and keypoint clustering for object recognition
— Object recognition is a challenging problem for artificial systems. This is especially true for objects that are placed in cluttered and uncontrolled environments. To challenge...
Gert Kootstra, Jelmer Ypma, Bart de Boer
CCGRID
2001
IEEE
14 years 10 days ago
Software Environments For Cluster-Based Display Systems
An inexpensive way to construct a scalable display wall system is to use a cluster of PCs with commodity graphics accelerators to drive an array of projectors. A challenge is to b...
Han Chen, Douglas W. Clark, Zhiyan Liu, Grant Wall...
ICIP
2007
IEEE
14 years 10 months ago
Unsupervised Modeling of Object Tracks for Fast Anomaly Detection
A key goal of far-field activity analysis is to learn the usual pattern of activity in a scene and to detect statistically anomalous behavior. We propose a method for unsupervised...
Tomas Izo, W. Eric L. Grimson