Physics-Inspired Machine Learning for Radiomap Estimation: Integration of Radio Propagation Models and Artificial Intelligence 来自 IEEEXplore 喜欢 0 阅读量: 7 作者:S Zhang,B Choi,F Ouyang,Z Ding 摘要: Radiomap captures the geometrical distribution of radio frequency signal power. As an important ...
A complete framework is proposed for applying the maximum a posteriori (MAP) estimation principle in remote sensing image segmentation. The MAP principle provides an estimate for the segmented image by maximizing the posterior probabilities of the classes defined in the image. The posterior probability...
Op- timal map parameters estimation in staple-learning from perfor- mance parameters versus image similarity information, in: Ma- chine Learning in Medical Imaging. Springer, pp. 174-181.Gorthi, S., Akhondi-Asl, A., Thiran, J.P., Warfield, S.K., 2014. Optimal map parameters estimation...
or instead non-convex but continuous formulations such as those encountered in neural networks and deep belief networks, our framework entails a non-convex but discrete formulation, where estimation amounts to finding a MAP configuration in a graphical model whose potential functions are low-dimensional...
candidate for potential pandemic preparedness studies and rapid risk estimation during an unfolding outbreak. With sophisticated agent-based models39and on-device learning40,41, such techniques could also lead the way towards individual-level forecasting without involving the same privacy and anonymity ...
In frameworks such as the structured support vector machine (SVM-Struct) and the structured perceptron, discriminative functions are learned by iteratively applying efficient maximum a posteriori (MAP) decoding. However, maximum likelihood estimation (MLE) of probabilistic models over these same structured...
The efficiency of classifier was enhanced by introducing the Bayesian probability measure and performance was assessed by using precision and recall metrics on the pre and post Bayesian flood probability estimation. It has been observed that for some test cases in this study there was a substantial ...
Object detection and amplitude estimation based on maximum a posteriori reconstructions We report on the behavior ofthe linear maximum a posteriori (MAP) tomographic reconstruction technique as a function of the assumed rms noise αin the meas... Hanson, K. M - 《Proc Spie》 被引量: 17发表:...
Above all, we provide a 10-m national-scale map for PV power stations in China of 2020, which would be of particular interest to the following research areas. Estimation and prediction of PV’s generating capacity Based on the fine-scaled national map of PV power stations, it would be pos...
Our approach is similar to Kohonen's self-organizing map, but in contrast to the self-organizing map, our parameter estimation algorithm is guaranteed to converge and optimizes a well-defined objective function. In addition, our method... JJ Verbeek - 《Phd Thesis University of Amsterdam》 被...