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IJCNN
2000
IEEE
15 years 11 months ago
A Constraint Learning Algorithm for Blind Source Separation
In Jutten’s blind separation algorithm, symmetrical distribution and statistical independence of the signal sources are assumed. When they are not satisfied, the learning proce...
Kenji Nakayama, Akihiro Hirano, Motoki Nitta
SIAMSC
2008
179views more  SIAMSC 2008»
15 years 6 months ago
Multigrid Algorithms for Inverse Problems with Linear Parabolic PDE Constraints
Abstract. We present a multigrid algorithm for the solution of distributed parameter inverse problems constrained by variable-coefficient linear parabolic partial differential equa...
Santi S. Adavani, George Biros
INFOCOM
2008
IEEE
16 years 29 days ago
Approximation Algorithms for Computing Capacity of Wireless Networks with SINR Constraints
—A fundamental problem in wireless networks is to estimate its throughput capacity - given a set of wireless nodes, and a set of connections, what is the maximum rate at which da...
Deepti Chafekar, V. S. Anil Kumar, Madhav V. Marat...
PRICAI
1998
Springer
15 years 10 months ago
Dynamic Constraint Weighting for Over-Constrained Problems
Many real-world constraint satisfaction problems (CSPs) can be over-constrained but contain a set of mandatory or hard constraints that have to be satisfied for a solution to be ac...
John Thornton, Abdul Sattar