Singular Value Decomposition (and Principal Component Analysis) is one of the most widely used techniques for dimensionality reduction: successful and efficiently computable, it ...
— Partially Observable Markov Decision Processes (POMDPs) offer a powerful mathematical framework for making optimal action choices in noisy and/or uncertain environments, in par...
—The traditional formulation of the total value of information transfer is a multi-commodity flow problem. Here, each data source is seen as generating a commodity along a fixe...
In this paper, a novel thermal-aware dynamic placement planner for reconfigurable systems is presented, which targets transient temperature reduction. Rather than solving time-...
Shahin Golshan, Eli Bozorgzadeh, Benjamin Carri&oa...
Interpolating diffusion tensor fields is a key technique to visualize the continuous behaviors of biological tissues such as nerves and muscle fibers. However, this has been stil...