— Consider the following scenario: a spatio-temporal stochastic process generates service requests, localized at points in a bounded region on the plane; these service requests a...
Marco Pavone, Nabhendra Bisnik, Emilio Frazzoli, V...
We present an optimal real-time scheduling algorithm for multiprocessors — one that satisfies all task deadlines, when the total utilization demand does not exceed the utilizat...
Hyeonjoong Cho, Binoy Ravindran, E. Douglas Jensen
Iterative Closest Point (ICP) -based tracking works well when the interframe motion is within the ICP minimum well space. For large interframe motions resulting from a limited sen...
Limin Shang, Piotr Jasiobedzki, Michael A. Greensp...
Convergence is a central problem in both computer science and in population biology. Will a program terminate? Will a population go to an equilibrium? In general these questions ar...
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...