The aim of blind image deconvolution is to recover a sharp image from a blurred one. Assuming that there is no other data than the one blurred image, the problem is highly ill-posed. Many methods...
The aim of blind image deconvolution is to recover a sharp image from a blurred one. Assuming that there is no other data than the one blurred image, the problem is highly ill-posed. Many methods...
Science relies on formulating, confirming or discarding of sequences new hypotheses. They are usually checked according to their harmony with real-world data. Bayesian methodology suits well to...
The research studies optimal decision-making with the focus...
Deep reinforcement learning has shown an ability to achieve super-human performance in solving complex reinforcement learning tasks only from raw-pixels. However, it fails to reuse knowledge from...
The seminar will introduce developed principles of predictive control for hierarchical arrangement including global mechanics of controlled system and its local drives. Both linear and nonlinear...
Na semináři budou představeny další směry v atmosférickém inverzním modelování, kterým se věnujeme. Jedná se především o předpoklad nelinearity (v našem případě bilinearity) v základním modelu y=...