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» Clustering performance data efficiently at massive scales
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SBACPAD
2003
IEEE
138views Hardware» more  SBACPAD 2003»
15 years 5 months ago
Finite Difference Simulations of the Navier-Stokes Equations Using Parallel Distributed Computing
 This paper discusses the implementation of a numerical algorithm for simulating incompressible fluid flows based on the finite difference method and designed for parallel compu...
João Paulo De Angeli, Andréa M. P. V...
MMDB
2004
ACM
148views Multimedia» more  MMDB 2004»
15 years 6 months ago
A unified framework for image database clustering and content-based retrieval
With the proliferation of image data, the need to search and retrieve images efficiently and accurately from a large image database or a collection of image databases has drastica...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...
125
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JCST
2008
124views more  JCST 2008»
15 years 17 days ago
Clustering by Pattern Similarity
The task of clustering is to identify classes of similar objects among a set of objects. The definition of similarity varies from one clustering model to another. However, in most ...
Haixun Wang, Jian Pei
123
Voted
BMCBI
2005
86views more  BMCBI 2005»
15 years 15 days ago
Confirmation of human protein interaction data by human expression data
Background: With microarray technology the expression of thousands of genes can be measured simultaneously. It is well known that the expression levels of genes of interacting pro...
Andreas Hahn, Jörg Rahnenführer, Priti T...
BMCBI
2007
160views more  BMCBI 2007»
15 years 22 days ago
Identifying protein complexes directly from high-throughput TAP data with Markov random fields
Background: Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of high-throughput methods. Current algorithms ...
Wasinee Rungsarityotin, Roland Krause, Arno Sch&ou...