This paper presents a method for scene flow estimation from a calibrated stereo image sequence. The scene flow contains the 3-D displacement field of scene points, so that the 2-D...
nt an abstract instruction set for a constraint solver over finite domains, which can be smoothly integrated in the WAM architecture. It is based on the use of a single primitive...
The Markov chain approximation method is an effective and widely used approach for computing optimal values and controls for stochastic systems. It was extended to nonlinear (and p...
—A promising method of automating management tasks in computing systems is to formulate them as control or optimization problems in terms of performance metrics. For an online op...
In this paper, we put forward a fundamental question concerning feedback control of quantum systems: Is measurement-based feedback control still better than openloop control? In c...