To model combinatorial decision problems involving uncertainty and probability, we introduce stochastic constraint programming. Stochastic constraint programs contain both decision...
This paper presents a sequential state estimation method with arbitrary probabilistic models expressing the system’s belief. Probabilistic models can be estimated by Maximum a po...
We propose a video event analysis framework based on object segmentation and tracking, combined with a Hidden Semi-Markov Model (HSMM) that uses state occupancy duration modeling....
This paper proposes a design method and programmable architectures for numerical function generators (NFGs) of two-variable functions. To realize a two-variable function in hardwa...
—This paper introduces a novel numerical carbon nanotube transistor (CNT) modelling approach which brings in a flexible and efficient cubic spline non-linear approximation of t...
Dafeng Zhou, Tom J. Kazmierski, Bashir M. Al-Hashi...