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...
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...
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...
The performance of Kriging interpolation for enhancement, smoothing, reconstruction and optimization of a test data set is investigated. Specifically, the ordinary twodimensional ...
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...