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PVLDB
2008
182views more  PVLDB 2008»
13 years 8 months ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...
CVPR
2008
IEEE
14 years 10 months ago
Incremental learning of nonparametric Bayesian mixture models
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
Ryan Gomes, Max Welling, Pietro Perona
IJCNN
2000
IEEE
14 years 1 months ago
Supervised Scaled Regression Clustering: An Alternative to Neural Networks
: This paper describes a rather novel method for the supervised training of regression systems that can be an alternative to feedforward Artificial Neural Networks (ANNs) trained w...
Mark J. Embrechts, Dirk Devogelaere, Marcel Rijcka...
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
PDPTA
2004
13 years 10 months ago
On the Design and Performance of Remote Disk Drivers for Clusters of PCs
This paper presents the design and performance of remote disk drivers for clusters of Commodity-Off-The-Shelf PCs that fetch disk blocks over System Area Networks. The driver offe...
Vlad Olaru, Walter F. Tichy