Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
Probability distributions are useful for expressing the meanings of probabilistic languages, which support formal modeling of and reasoning about uncertainty. Probability distribu...
This paper deals with the problem of error estimation in 3D reconstruction. It shows how interval analysis can be used in this way for 3D vision applications. The description of a...
It has been recently shown that calibration with an error less than ∆ > 0 is almost surely guaranteed with a randomized forecasting algorithm, where forecasts are obtained by...
—X-filling is preferred for low-capture-power scan test generation, since it reduces IR-drop-induced yield loss without the need of any circuit modification. However, the effecti...
Xiaoqing Wen, Kohei Miyase, Tatsuya Suzuki, Yuta Y...