Denial of long-term issues with agriculture on tropical peatlands will have devastating consequences

Non peer reviewe

Denial of long-term issues with agriculture on tropical peatlands will have devastating consequences

Lette

Separation of nonlinear image mixtures by denoising source separation, in

Abstract. The denoising source separation framework is extended to nonlinear separation of image mixtures. MLP networks are used to model the nonlinear unmixing mapping. Learning is guided by a denoising function which uses prior knowledge about the sparsity of the edges in images. The main benefit of the method is that it is simple and computationally efficient. Separation results on a real-world image mixture proved to be comparable to those achieved with MISEP.

Long-term prediction of time series using state-space models

Abstract. State-space models offer a powerful modelling tool for time series prediction. However, as most algorithms are not optimized for longterm prediction, it may be hard to achieve good prediction results. In this paper, we investigate Gaussian linear regression filters for parameter estimation in state-space models and we propose new long-term prediction strategies. Experiments using the EM-algorithm for training of nonlinear state-space models show that significant improvements are possible with no additional computational cost.