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CORR
2008
Springer
234views Education» more  CORR 2008»
13 years 10 months ago
Bayesian Compressive Sensing via Belief Propagation
Compressive sensing (CS) is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable, sub-N...
Dror Baron, Shriram Sarvotham, Richard G. Baraniuk
EOR
2008
116views more  EOR 2008»
13 years 10 months ago
A hybrid neuro-fuzzy analytical approach to mode choice of global logistics management
This paper presents a hybrid neuro-fuzzy methodology to identify appropriate global logistics (GL) operational modes used for global supply chain management. The proposed methodol...
Jiuh-Biing Sheu
EXPERT
2008
134views more  EXPERT 2008»
13 years 10 months ago
Learning to Tag and Tagging to Learn: A Case Study on Wikipedia
Natural language technologies have been long envisioned to play a crucial role in transitioning from the current Web to a more "semantic" Web. If anything, the significa...
Peter Mika, Massimiliano Ciaramita, Hugo Zaragoza,...
CAD
2006
Springer
13 years 10 months ago
Constrained 3D shape reconstruction using a combination of surface fitting and registration
We investigate 3D shape reconstruction from measurement data in the presence of constraints. The constraints may fix the surface type or set geometric relations between parts of a...
Yang Liu, Helmut Pottmann, Wenping Wang
CAL
2006
13 years 10 months ago
User-Driven Frequency Scaling
Abstract-- We propose and evaluate User-Driven Frequency Scaling (UDFS) for improved power management on processors that support Dynamic Voltage and Frequency Scaling (DVFS), e.g, ...
Arindam Mallik, Bin Lin, Gokhan Memik, Peter A. Di...