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» Distributed Data Clustering Can Be Efficient and Exact
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EUROPAR
2007
Springer
13 years 11 months ago
Efficient Parallel Simulation of Large-Scale Neuronal Networks on Clusters of Multiprocessor Computers
To understand the principles of information processing in the brain, we depend on models with more than 105 neurons and 109 connections. These networks can be described as graphs o...
Hans E. Plesser, Jochen M. Eppler, Abigail Morriso...
HPCA
2009
IEEE
14 years 8 months ago
Criticality-based optimizations for efficient load processing
Some instructions have more impact on processor performance than others. Identification of these critical instructions can be used to modify and improve instruction processing. Pr...
Samantika Subramaniam, Anne Bracy, Hong Wang 0003,...
SODA
2010
ACM
189views Algorithms» more  SODA 2010»
14 years 5 months ago
Correlation Clustering with Noisy Input
Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...
Claire Mathieu, Warren Schudy
AIRS
2006
Springer
13 years 11 months ago
Natural Document Clustering by Clique Percolation in Random Graphs
Document clustering techniques mostly depend on models that impose explicit and/or implicit priori assumptions as to the number, size, disjunction characteristics of clusters, and/...
Wei Gao, Kam-Fai Wong
BMCBI
2010
113views more  BMCBI 2010»
13 years 7 months ago
Statistical method on nonrandom clustering with application to somatic mutations in cancer
Background: Human cancer is caused by the accumulation of tumor-specific mutations in oncogenes and tumor suppressors that confer a selective growth advantage to cells. As a conse...
Jingjing Ye, Adam Pavlícek, Elizabeth A. Lu...