We present a new technique for verification of complex hardware devices that allows both generality andahighdegreeofautomation.Thetechniqueisbasedonournewwayofconstructinga"li...
Sergey Berezin, Edmund M. Clarke, Armin Biere, Yun...
This paper proposes a method for computing fast approximations to support vector decision functions in the field of object detection. In the present approach we are building on an...
This paper proposes a class of Hilbert transform pairs of orthonormal wavelet bases with improved analyticity. To improve the analyticity of complex wavelet, a different allpass ï...
—The distance transform has found many applications in image analysis. Chamfer distance transforms are a class of discrete algorithms that offer a good approximation to the desir...
Abstract. Innovations such as optimistic exploration, function approximation, and hierarchical decomposition have helped scale reinforcement learning to more complex environments, ...