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» Approximation by pseudo-linear operators
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IJCAI
1997
15 years 6 months ago
An Effective Learning Method for Max-Min Neural Networks
Max and min operations have interesting properties that facilitate the exchange of information between the symbolic and real-valued domains. As such, neural networks that employ m...
Loo-Nin Teow, Kia-Fock Loe
WSCG
2000
117views more  WSCG 2000»
15 years 6 months ago
Solving Multiple Layer Containment Problems Using Iterative Methods
The footwear industry's need for an automatic containment algorithm is becoming increasingly important within the manufacturing process. Irregular containers, such as hides, ...
Nuno Marques, Pedro Capela, João Bernardo
IJCAI
1993
15 years 6 months ago
Second Order Measures for Uncertainty Processing
Uncertainty processing methods are analysed from the viewpoint of their sensitivity to small variations of certainty factors. The analysis makes use of the algebraic theory which ...
Zdenek Zdráhal
SLP
1994
121views more  SLP 1994»
15 years 6 months ago
CLP(Intervals) Revisited
The design and implementation of constraint logic programming (CLP) languages over intervals is revisited. Instead of decomposing complex constraints in terms of simple primitive ...
Frédéric Benhamou, David A. McAllest...
WCE
2007
15 years 5 months ago
MR Image Reconstruction from Pseudo-Hex Lattice Sampling Patterns Using Separable FFT
Abstract— Common MRI sampling patterns in kspace, such as spiral trajectories, have nonuniform density and do not lie on a rectangular grid. We propose mapping the sampled data t...
Jae-Ho Kim, Fred L. Fontaine