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FLAIRS
2004
15 years 3 months ago
Clustering Spatial Data in the Presence of Obstacles
Clustering is a form of unsupervised machine learning. In this paper, we proposed the DBRS_O method to identify clusters in the presence of intersected obstacles. Without doing an...
Xin Wang, Howard J. Hamilton
IPPS
2005
IEEE
15 years 7 months ago
Maximizing the Lifetime of Dominating Sets
We investigate the problem of maximizing the lifetime of wireless ad hoc and sensor networks. Being battery powered, nodes in such networks have to perform their intended task und...
Thomas Moscibroda, Roger Wattenhofer
ICIP
2000
IEEE
16 years 3 months ago
Distributional Clustering for Efficient Content-Based Retrieval of Images and Video
In this paper, we presentan approach to clustering images for efficient retrieval using relative entropy. We start with the assumption that visual features are represented by prob...
Giridharan Iyengar, Andrew Lippman
CLUSTER
2008
IEEE
15 years 8 months ago
An OSD-based approach to managing directory operations in parallel file systems
—Distributed file systems that use multiple servers to store data in parallel are becoming commonplace. Much work has already gone into such systems to maximize data throughput....
Nawab Ali, Ananth Devulapalli, Dennis Dalessandro,...
CLUSTER
2006
IEEE
15 years 1 months ago
Optimizing MPI collective communication by orthogonal structures
Many parallel applications from scientific computing use MPI collective communication operations to collect or distribute data. Since the execution times of these communication op...
Matthias Kühnemann, Thomas Rauber, Gudula R&u...