138 search results - page 21 / 28 » Approximated Clustering of Distributed High-Dimensional Data |
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
IPMI
2009
Springer
14 years 2 months ago
2009
Springer
In this paper, we present a manifold clustering method for the classification of fibers obtained from diffusion tensor images (DTI) of the human skeletal muscle. Using a linear ...
CORR
2002
Springer
13 years 7 months ago
2002
Springer
Global mobile robot localization is the problem of determining a robot's pose in an environment, using sensor data, when the starting position is unknown. A family of probabi...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
Abstract—This paper studies the problem of distributed computation over a network of wireless sensors. While this problem applies to many emerging applications, to keep our discu...
CSB
2005
IEEE
14 years 1 months ago
2005
IEEE
Recently Bowers et al. [1] analyzed triplet logic relationships among 4873 Clusters of Orthologous Groups (COGS) from 67 fully sequenced organisms by calculating how well logic re...