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ICAI
2004
14 years 11 months ago
A Comparison of Resampling Methods for Clustering Ensembles
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
Behrouz Minaei-Bidgoli, Alexander P. Topchy, Willi...
ICPADS
2006
IEEE
15 years 4 months ago
Efficient Compile-Time Task scheduling for Heterogeneous Distributed Computing Systems
Efficient task scheduling is essential for obtaining high performance in heterogeneous distributed computing systems (or HeDCSs). Because of its key importance, several scheduling...
Mohammad I. Daoud, Nawwaf N. Kharma
PDP
2006
IEEE
15 years 4 months ago
Comparing Commodity SMP System Software with a Matrix Multiplication Benchmark
Commodity symmetric multiprocessors (SMPs), though originally intended for transaction processing, because of their availability, are now used for numerical analysis applications ...
Georgios Tsilikas, Martin Fleury
ICCV
2011
IEEE
13 years 10 months ago
Source Constrained Clustering
We consider the problem of quantizing data generated from disparate sources, e.g. subjects performing actions with different styles, movies with particular genre bias, various con...
Ekaterina Taralova, Fernando DelaTorre, Martial He...
SAC
2011
ACM
14 years 26 days ago
Parallel multivariate slice sampling
Slice sampling provides an easily implemented method for constructing a Markov chain Monte Carlo (MCMC) algorithm. However, slice sampling has two major drawbacks: (i) it requires...
Matthew M. Tibbits, Murali Haran, John C. Liechty