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» Wavelet Neural Networks with a Hybrid Learning Approach
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ICIP
1998
IEEE
16 years 1 months ago
A Neural Network Approach for Reconstructing Surface Shape from Shading
In this work, a framework for the reconstruction of smooth surface shapes from shading images is presented. The method is based on using a backpropagationbased neural network for ...
Jezekiel Ben-Arie, Dibyendu Nandy
PKDD
2000
Springer
100views Data Mining» more  PKDD 2000»
15 years 3 months ago
Learning Right Sized Belief Networks by Means of a Hybrid Methodology
Previous algoritms for the construction of belief networks structures from data are mainly based either on independence criteria or on scoring metrics. The aim of this paper is to ...
Silvia Acid, Luis M. de Campos
CVPR
2012
IEEE
13 years 2 months ago
Image denoising: Can plain neural networks compete with BM3D?
Image denoising can be described as the problem of mapping from a noisy image to a noise-free image. The best currently available denoising methods approximate this mapping with c...
Harold Christopher Burger, Christian J. Schuler, S...
NIPS
1994
15 years 1 months ago
Real-Time Control of a Tokamak Plasma Using Neural Networks
In this paper we present results from the first use of neural networks for real-time control of the high temperature plasma in a tokamak fusion experiment. The tokamak is currentl...
Christopher M. Bishop
ATAL
2008
Springer
15 years 1 months ago
An approach to online optimization of heuristic coordination algorithms
Due to computational intractability, large scale coordination algorithms are necessarily heuristic and hence require tuning for particular environments. In domains where character...
Jumpol Polvichai, Paul Scerri, Michael Lewis