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SIGMOD
2001
ACM
200views Database» more  SIGMOD 2001»
16 years 2 days ago
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&oum...
VCIP
2000
148views Communications» more  VCIP 2000»
15 years 1 months ago
Aircraft recognition and pose estimation
This work presents a geometry based vision system for aircraft recognition and pose estimation using single images. Pose estimation improves the tracking performance of guided wea...
Hatem Hmam, Jijoong Kim
CLUSTER
2001
IEEE
15 years 3 months ago
A Class of Loop Self-Scheduling for Heterogeneous Clusters
Distributed Computing Systems are a viable and less expensive alternative to parallel computers. However, a serious difficulty in concurrent programming of a distributed system is...
Anthony T. Chronopoulos, Manuel Benche, Daniel Gro...
CLUSTER
2001
IEEE
15 years 3 months ago
Cluster-Based Computing with Active, Persistent Objects on the Web
This paper describes a middleware that enables its target application to dynamically incorporate heterogeneous nodes of a cluster. It distributes the objects of the application ac...
Frank Sommers, Shahram Ghandeharizadeh, Shan Gao
FSTTCS
2001
Springer
15 years 4 months ago
On Clustering Using Random Walks
Abstract. We propose a novel approach to clustering, based on deterministic analysis of random walks on the weighted graph associated with the clustering problem. The method is cen...
David Harel, Yehuda Koren