A two-neural network approach to solving nonlinear optimal control problems is described in this study. This approach called the adaptive critic method consists of one neural netw...
Ill-posed linear equations are pervasive in computer vision. A popular way to solve an ill-posed problem is regularization. In this paper, we propose a new criterion for designing ...
Abstract. We present a new method to simultaneously estimate optical flow fields and parameters of dynamic processes, violating the standard brightness change constraint equation...
Horst W. Haussecker, Christoph S. Garbe, Hagen Spi...
Optimal filtering of noisy voltage signals on dendritic trees is a key problem in computational cellular neuroscience. However, the state variable in this problem -- the vector of...
In this paper, we propose an extension of three incomplete depthfirst search techniques, namely depth-bounded backtrack search, credit search, and iterative broadening, towards pr...