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» Distributed Data Clustering Can Be Efficient and Exact
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ESCIENCE
2006
IEEE
15 years 10 months ago
Grid Approach to Embarrassingly Parallel CPU-Intensive Bioinformatics Problems
Bioinformatics algorithms such as sequence alignment methods based on profile-HMM (Hidden Markov Model) are popular but CPU-intensive. If large amounts of data are processed, a s...
Heinz Stockinger, Marco Pagni, Lorenzo Cerutti, La...
CLUSTER
2009
IEEE
15 years 2 months ago
Coordinating the use of GPU and CPU for improving performance of compute intensive applications
GPUs have recently evolved into very fast parallel co-processors capable of executing general purpose computations extremely efficiently. At the same time, multi-core CPUs evolutio...
George Teodoro, Rafael Sachetto Oliveira, Olcay Se...
JIIS
2000
111views more  JIIS 2000»
15 years 4 months ago
Multidimensional Index Structures in Relational Databases
Abstract. Efficient query processing is one of the basic needs for data mining algorithms. Clustering algorithms, association rule mining algorithms and OLAP tools all rely on effi...
Christian Böhm, Stefan Berchtold, Hans-Peter ...
CORR
2010
Springer
165views Education» more  CORR 2010»
15 years 4 months ago
Coalition Formation Games for Distributed Cooperation Among Roadside Units in Vehicular Networks
Vehicle-to-roadside (V2R) communications enable vehicular networks to support a wide range of applications for enhancing the efficiency of road transportation. While existing work...
Walid Saad, Zhu Han, Are Hjørungnes, Dusit ...
TCSV
2010
14 years 11 months ago
Video Foreground Detection Based on Symmetric Alpha-Stable Mixture Models
Background subtraction (BS) is an efficient technique for detecting moving objects in video sequences. A simple BS process involves building a model of the background and extractin...
Harish Bhaskar, Lyudmila Mihaylova, Alin Achim