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» Automatic data mapping of signal processing applications
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2009
ACM
15 years 6 months ago
Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems
MapReduce provides a parallel and scalable programming model for data-intensive business and scientific applications. MapReduce and its de facto open source project, called Hadoop...
Jianwu Wang, Daniel Crawl, Ilkay Altintas
GIS
2009
ACM
15 years 3 months ago
Next generation map making: geo-referenced ground-level LIDAR point clouds for automatic retro-reflective road feature extractio
This paper presents a novel method to process large scale, ground level Light Detection and Ranging (LIDAR) data to automatically detect geo-referenced navigation attributes (traf...
Xin Chen, Brad Kohlmeyer, Matei Stroila, Narayanan...
87
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BMCBI
2004
151views more  BMCBI 2004»
14 years 11 months ago
A computational approach for ordering signal transduction pathway components from genomics and proteomics Data
Background: Signal transduction is one of the most important biological processes by which cells convert an external signal into a response. Novel computational approaches to mapp...
Yin Liu, Hongyu Zhao
ICS
2009
Tsinghua U.
15 years 4 months ago
A translation system for enabling data mining applications on GPUs
Modern GPUs offer much computing power at a very modest cost. Even though CUDA and other related recent developments are accelerating the use of GPUs for general purpose applicati...
Wenjing Ma, Gagan Agrawal
ALIFE
2004
14 years 11 months ago
The Data-and-Signals Cellular Automaton and Its Application to Growing Structures
In a traditional cellular automaton (CA) a cell is implemented by a rule table defining its state at the next time step, given its present state and those of its neighbors. The cel...
André Stauffer, Moshe Sipper