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» Cluster computing for web-scale data processing
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ISCA
2007
IEEE
217views Hardware» more  ISCA 2007»
13 years 5 months ago
Parallel Processing of High-Dimensional Remote Sensing Images Using Cluster Computer Architectures
Hyperspectral sensors represent the most advanced instruments currently available for remote sensing of the Earth. The high spatial and spectral resolution of the images supplied ...
David Valencia, Antonio Plaza, Pablo Martín...
ECBS
2006
IEEE
126views Hardware» more  ECBS 2006»
13 years 11 months ago
Experiments and Investigations for the Personal High Performance Computing (PHPC) built on top of the 64-bit processing and clus
The motivation and objective for this paper is to demonstrate “Personal High Performance Computing (PHPC)”, which requires only a smaller number of computers, resources and sp...
Victor Chang
DAGM
2008
Springer
13 years 7 months ago
Boosting for Model-Based Data Clustering
In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn t...
Amir Saffari, Horst Bischof
EGPGV
2004
Springer
143views Visualization» more  EGPGV 2004»
13 years 11 months ago
Massive Data Pre-Processing with a Cluster Based Approach
Data coming from complex simulation models reach easily dimensions much greater than available computational resources. Visualization of such data still represents the most intuit...
Rita Borgo, Valerio Pascucci, Roberto Scopigno
CLOUD
2010
ACM
13 years 11 months ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...