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APPT
2005
Springer
15 years 3 months ago
Principal Component Analysis for Distributed Data Sets with Updating
Identifying the patterns of large data sets is a key requirement in data mining. A powerful technique for this purpose is the principal component analysis (PCA). PCA-based clusteri...
Zheng-Jian Bai, Raymond H. Chan, Franklin T. Luk
IPMI
2003
Springer
15 years 10 months ago
Gaussian Distributions on Lie Groups and Their Application to Statistical Shape Analysis
The Gaussian distribution is the basis for many methods used in the statistical analysis of shape. One such method is principal component analysis, which has proven to be a powerfu...
P. Thomas Fletcher, Sarang C. Joshi, Conglin Lu, S...
ICC
2007
IEEE
179views Communications» more  ICC 2007»
15 years 4 months ago
On Collaboration in a Distributed Multi-Target Tracking Framework
Abstract— A fully-distributed collaborative multi-target tracking framework that eliminates the need for a central data associator or a central coordinating node for wireless sen...
Tolga Onel, Cem Ersoy, Hakan Deliç
HPCN
2000
Springer
15 years 1 months ago
A Service-Based Agent Framework for Distributed Symbolic Computation
We present OKEANOS, a distributed service-based agent framework implemented in Java, in which agents can act autonomously and make use of stationary services. Each agent's beh...
Ralf-Dieter Schimkat, Wolfgang Blochinger, Carsten...
FTCS
1993
97views more  FTCS 1993»
14 years 11 months ago
Virtually-Synchronous Communication Based on a Weak Failure Suspector
Failure detectors (or, more accurately Failure Suspectors { FS) appear to be a fundamental service upon which to build fault-tolerant, distributed applications. This paper shows t...
André Schiper, Aleta Ricciardi