Blind image deconvolution (BID) is a severely ill-posed optimization problem and the quality of its solution depends on additional information, typically in the form of regularization. Deep image...
Blind image deconvolution (BID) is a severely ill-posed optimization problem and the quality of its solution depends on additional information, typically in the form of regularization. Deep image...
Fully probabilistic design of decision strategies (FPD) obtains optimal policy for decision tasks using only probability distributions. Herein lies its main asset. It also covers Markov decision...
A popular model in time series analysis is the autoregression model. It explains the current value of a modeled process by means of a weighted average of its past values. We focus on the case...
Kolem JE Dukovany je instalována síť čidel měřících dávkové příkony ozáření z mraku. Byla diskutována možnost alternativní simulace dávek matematickým modelem s cílem určit podrobné rozložení...