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» Clustering performance data efficiently at massive scales
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KDD
2002
ACM
194views Data Mining» more  KDD 2002»
16 years 6 months ago
Scale Space Exploration For Mining Image Information Content
Images are highly complex multidimensional signals, with rich and complicated information content. For this reason they are difficult to analyze through a unique automated approach...
Mariana Ciucu, Patrick Héas, Mihai Datcu, J...
ECML
2006
Springer
15 years 9 months ago
Fast Spectral Clustering of Data Using Sequential Matrix Compression
Spectral clustering has attracted much research interest in recent years since it can yield impressively good clustering results. Traditional spectral clustering algorithms first s...
Bo Chen, Bin Gao, Tie-Yan Liu, Yu-Fu Chen, Wei-Yin...
CEC
2010
IEEE
15 years 7 months ago
An analysis of massively distributed evolutionary algorithms
Computational science is placing new demands on optimization algorithms as the size of data sets and the computational complexity of scientific models continue to increase. As thes...
Travis J. Desell, David P. Anderson, Malik Magdon-...
ISLPED
2004
ACM
124views Hardware» more  ISLPED 2004»
15 years 11 months ago
Application adaptive energy efficient clustered architectures
As clock frequency and die area increase, achieving energy efficiency, while distributing a low skew, global clock signal becomes increasingly difficult. Challenges imposed by dee...
Diana Marculescu
ICDE
2003
IEEE
193views Database» more  ICDE 2003»
16 years 7 months ago
An Adaptive and Efficient Dimensionality Reduction Algorithm for High-Dimensional Indexing
The notorious "dimensionality curse" is a well-known phenomenon for any multi-dimensional indexes attempting to scale up to high dimensions. One well known approach to o...
Hui Jin, Beng Chin Ooi, Heng Tao Shen, Cui Yu, Aoy...