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» PGAC: A Parallel Genetic Algorithm for Data Clustering
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ISMB
1994
13 years 9 months ago
High Speed Pattern Matching in Genetic Data Base with Reconfigurable Hardware
Homologydetection in large data bases is probably the most time consuming operation in molecular genetic computing systems. Moreover, the progresses made all around the world conc...
Eric Lemoine, Joël Quinqueton, Jean Sallantin
EUROPAR
2009
Springer
13 years 5 months ago
A Parallel Point Matching Algorithm for Landmark Based Image Registration Using Multicore Platform
Abstract. Point matching is crucial for many computer vision applications. Establishing the correspondence between a large number of data points is a computationally intensive proc...
Lin Yang, Leiguang Gong, Hong Zhang, John L. Noshe...
IJCNN
2007
IEEE
14 years 2 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
ESANN
2008
13 years 9 months ago
Parallelizing single patch pass clustering
Clustering algorithms such as k-means, the self-organizing map (SOM), or Neural Gas (NG) constitute popular tools for automated information analysis. Since data sets are becoming l...
Nikolai Alex, Barbara Hammer
ICPP
2005
IEEE
14 years 1 months ago
Push-Pull: Guided Search DAG Scheduling for Heterogeneous Clusters
Consider a heterogeneous cluster system, consisting of processors with varying processing capabilities and network links with varying bandwidths. Given a DAG application to be sch...
Sang Cheol Kim, Sunggu Lee