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SCAI
2008
13 years 9 months ago
Towards Automatic Model Generation by Optimization
The problem of automatically selecting simulation models for autonomous agents depending on their current intentions and beliefs is considered in this paper. The intended use of t...
Per Nyblom, Patrick Doherty
NPL
2000
135views more  NPL 2000»
13 years 7 months ago
Towards the Optimal Learning Rate for Backpropagation
A backpropagation learning algorithm for feedforward neural networks with an adaptive learning rate is derived. The algorithm is based upon minimising the instantaneous output erro...
Danilo P. Mandic, Jonathon A. Chambers
CVPR
2007
IEEE
14 years 9 months ago
Utilizing Variational Optimization to Learn Markov Random Fields
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
Marshall F. Tappen
WSC
2008
13 years 10 months ago
Data enhancement, smoothing, reconstruction and optimization by kriging interpolation
The performance of Kriging interpolation for enhancement, smoothing, reconstruction and optimization of a test data set is investigated. Specifically, the ordinary twodimensional ...
Hasan Gunes, Hakki Ergun Cekli, Ulrich Rist
CIMAGING
2010
202views Hardware» more  CIMAGING 2010»
13 years 9 months ago
An optimal algorithm for reconstructing images from binary measurements
We have studied a camera with a very large number of binary pixels referred to as the gigavision camera [1] or the gigapixel digital film camera [2, 3]. Potential advantages of th...
Feng Yang, Yue M. Lu, Luciano Sbaiz, Martin Vetter...