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CIKM
2006
Springer
15 years 1 months ago
Adaptive non-linear clustering in data streams
Data stream clustering has emerged as a challenging and interesting problem over the past few years. Due to the evolving nature, and one-pass restriction imposed by the data strea...
Ankur Jain, Zhihua Zhang, Edward Y. Chang
CIC
2003
150views Communications» more  CIC 2003»
14 years 11 months ago
Performance Modeling of a Cluster of Workstations
Using off-the-shelf commodity workstations to build a cluster for parallel computing has become a common practice. In studying or designing a cluster of workstations one should ha...
Ahmed M. Mohamed, Lester Lipsky, Reda A. Ammar
PR
2008
123views more  PR 2008»
14 years 9 months ago
Extensions of vector quantization for incremental clustering
In this paper, we extend the conventional vector quantization by incorporating a vigilance parameter, which steers the tradeoff between plasticity and stability during incremental...
Edwin Lughofer
ICC
2007
IEEE
175views Communications» more  ICC 2007»
15 years 4 months ago
An Adaptive MIMO System Based on Unified Belief Propagation Detection
—An adaptive multiple input and multiple output with the code matrix index feedback [8]. One detector will (MIMO) system based on the unified belief propagation (BP) work in the ...
Xiumei Yang, Yong Xiong, Fan Wang
CORR
2006
Springer
152views Education» more  CORR 2006»
14 years 9 months ago
On Reduced Complexity Soft-Output MIMO ML detection
In multiple-input multiple-output (MIMO) fading channels maximum likelihood (ML) detection is desirable to achieve high performance, but its complexity grows exponentially with th...
Massimiliano Siti, Michael P. Fitz