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» From Data Flow Networks to Process Algebras
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GIS
2004
ACM
16 years 7 months ago
A new approach for a topographic feature-based characterization of digital elevation data
Triangular Irregular Network (TIN) and Regular Square Grid (RSG) are widely used for representing 2.5 dimensional spatial data. However, these models are not defined from the topo...
Eric Saux, Ki-Joune Li, Min-Hwan Kim, Rémy ...
BMCBI
2010
172views more  BMCBI 2010»
15 years 6 months ago
Comparison of evolutionary algorithms in gene regulatory network model inference
Background: The evolution of high throughput technologies that measure gene expression levels has created a data base for inferring GRNs (a process also known as reverse engineeri...
Alina Sîrbu, Heather J. Ruskin, Martin Crane
MDM
2007
Springer
147views Communications» more  MDM 2007»
16 years 19 days ago
Collaboratively Querying Sensor Networks through Handheld Devices
We envision that in some wireless sensor network applications, such as environmental monitoring, assisted living, and industrial control, handheld devices will be used from time t...
Tsz Wai Chiu, Qiong Luo
UAI
1998
15 years 7 months ago
Learning the Structure of Dynamic Probabilistic Networks
Dynamic probabilistic networks are a compact representation of complex stochastic processes. In this paper we examine how to learn the structure of a DPN from data. We extend stru...
Nir Friedman, Kevin P. Murphy, Stuart J. Russell
SENSYS
2003
ACM
15 years 11 months ago
GEM: graph eMbedding for routing and data-centric storage in sensor networks without geographic information
The widespread deployment of sensor networks is on the horizon. One of the main challenges in sensor networks is to process and aggregate data in the network rather than wasting e...
James Newsome, Dawn Xiaodong Song