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158
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APPROX
2006
Springer
15 years 10 months ago
2006
Springer
We describe a simple random-sampling based procedure for producing sparse matrix approximations. Our procedure and analysis are extremely simple: the analysis uses nothing more th...
197
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CAIP
1995
Springer
15 years 10 months ago
1995
Springer
In this paper a parallel implementation of a watershed algorithm is proposed. The algorithm is designed for a ring-architecture with distributed memory and a piece of shared memory...
168
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CORR
2008
Springer
15 years 7 months ago
2008
Springer
One of the most fundamental problems in large-scale network analysis is to determine the importance of a particular node in a network. Betweenness centrality is the most widely us...
187
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ICASSP
2008
IEEE
16 years 1 months ago
2008
IEEE
The empirical mode decomposition (EMD) has seen widespread use for analysis of nonlinear and nonstationary time-series. Despite some practical success, it lacks a firm theoretica...
186
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ICDAR
2003
IEEE
16 years 4 days ago
2003
IEEE
In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...