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145
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TSP
2010
14 years 10 months ago
Efficient Maximum Entropy Reconstruction of Nuclear Magnetic Resonance T1-T2 Spectra
Abstract--This paper deals with the reconstruction of T1-T2 correlation spectra in nuclear magnetic resonance relaxometry. The ill-posed character and the large size of this invers...
Emilie Chouzenoux, Saïd Moussaoui, Jér...
146
Voted
SPLC
2010
15 years 1 months ago
Configuring Software Product Line Feature Models Based on Stakeholders' Soft and Hard Requirements
Abstract. Feature modeling is a technique for capturing commonality and variability. Feature models symbolize a representation of the possible application configuration space, and ...
Ebrahim Bagheri, Tommaso Di Noia, Azzurra Ragone, ...
144
Voted
IWANN
2005
Springer
15 years 9 months ago
Characterizing Self-developing Biological Neural Networks: A First Step Towards Their Application to Computing Systems
Carbon nanotubes are often seen as the only alternative technology to silicon transistors. While they are the most likely short-term alternative, other longer-term alternatives sho...
Hugues Berry, Olivier Temam
156
Voted
TASE
2008
IEEE
15 years 3 months ago
Vision-Based Online Process Control in Manufacturing Applications
Applications such as layered manufacturing, or in general, solid free-form fabrication, pose a major challenge on online process control. For these parts to be functional, it is i...
Yuan Cheng, Mohsen A. Jafari
180
Voted
CP
2006
Springer
15 years 7 months ago
Compiling Constraint Networks into AND/OR Multi-valued Decision Diagrams (AOMDDs)
Abstract. Inspired by AND/OR search spaces for graphical models recently introduced, we propose to augment Ordered Decision Diagrams with AND nodes, in order to capture function de...
Robert Mateescu, Rina Dechter