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» Automatic data mapping of signal processing applications
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2009
ACM
15 years 11 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 8 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...
BMCBI
2004
151views more  BMCBI 2004»
15 years 4 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 9 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
15 years 4 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