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IPPS
1998
IEEE
14 years 18 days ago
High Performance Data Mining Using Data Cubes on Parallel Computers
On-Line Analytical Processing techniques are used for data analysis and decision support systems. The multidimensionality of the underlying data is well represented by multidimens...
Sanjay Goil, Alok N. Choudhary
HPDC
1993
IEEE
14 years 14 days ago
A Parallel Object-Oriented Framework for Stencil Algorithms
Wepresent an object-oriented framework for constructing parallel implementations of stencil algorithms. This framework simplifres the development process by encapsulating the comm...
John F. Karpovich, Matthew Judd, W. Timothy Straye...
ICPR
2004
IEEE
14 years 9 months ago
Parallelizing Motion Segmentation by Perceptual Organization of XYT
The front end of many motion analysis algorithms is usually a process that generates bounding boxes around each moving object, roughly segmenting the objects from the background. ...
Daniel Majchrzak, Sudeep Sarkar
EDBT
2006
ACM
191views Database» more  EDBT 2006»
14 years 8 months ago
Parallelizing Skyline Queries for Scalable Distribution
Skyline queries help users make intelligent decisions over complex data, where different and often conflicting criteria are considered. Current skyline computation methods are rest...
Ping Wu, Caijie Zhang, Ying Feng, Ben Y. Zhao, Div...
ICCS
2005
Springer
14 years 1 months ago
Data-Parallel Method for Georeferencing of MODIS Level 1B Data Using Grid Computing
Georeference is a basic function of remote sensing data processing. Geo-corrected remote sensing data is an important source data for Geographic Information Systems (GIS) and other...
Yincui Hu, Yong Xue, Jiakui Tang, Shaobo Zhong, Gu...