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Article: Researchers at Pusan National University target neural systems.
- Article from:
- Robotics & Machine Learning
- Article date:
- November 9, 2009
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"When interpolating images in the wavelet domain, the main problem is how to estimate the finest detail coefficients. Wavelet coefficients across scales have an interscale dependency, and the dependency varies according to the local energy of the coefficients," scientists writing in the journal Neural Computing & Applications report.
"This implies the possible existence of functional mappings from one scale to another scale. If we can estimate the mapping parameters from the observed coefficients, then it is possible to predict the finest detail coefficients. In this article, we use the multilayer perceptron (MLP) neural networks to learn a mapping from the ...
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