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» A Genetic Algorithm for Clustering on Very Large Data Sets
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ISVC
2009
Springer
14 years 3 months ago
Parallel 3D Image Segmentation of Large Data Sets on a GPU Cluster
In this paper, we propose an inherent parallel scheme for 3D image segmentation of large volume data on a GPU cluster. This method originates from an extended Lattice Boltzmann Mod...
Aaron Hagan, Ye Zhao
SIGMOD
2004
ACM
92views Database» more  SIGMOD 2004»
14 years 8 months ago
Online Maintenance of Very Large Random Samples
Random sampling is one of the most fundamental data management tools available. However, most current research involving sampling considers the problem of how to use a sample, and...
Chris Jermaine, Abhijit Pol, Subramanian Arumugam
ICCS
2004
Springer
14 years 1 months ago
Visualization of Very Large Oceanography Time-Varying Volume Datasets
This paper presents two visualization techniques suitable for huge oceanography time-varying volume datasets on high-performance graphics workstations. We first propose an off-lin...
Sanghun Park, Chandrajit L. Bajaj, Insung Ihm
GECCO
2004
Springer
105views Optimization» more  GECCO 2004»
14 years 1 months ago
An Enhanced Genetic Algorithm for DNA Sequencing by Hybridization with Positive and Negative Errors
Abstract. This paper describes a genetic algorithm for the DNA sequencing problem. The algorithm allows the input spectrum to contain both positive and negative errors as could be ...
Thang Nguyen Bui, Waleed A. Youssef
IV
2005
IEEE
136views Visualization» more  IV 2005»
14 years 2 months ago
Improved Visual Clustering of Large Multi-dimensional Data Sets
Lowering computational cost of data analysis and visualization techniques is an essential step towards including the user in the visualization. In this paper we present an improve...
Eduardo Tejada, Rosane Minghim